Undergraduate Summer Research Opportunities

Undergraduate students are invited to apply for summer research opportunities under the supervision of a School of Engineering faculty member. Students will work side-by-side with faculty, graduate students, and other staff on an active research project while gaining first-hand laboratory experience.
Students will receive $8,000 to aid with the cost of housing and living expenses during this ten-week program.

*Details about the Summer 2025 session are coming soon!*

Application Timeline

  • Early January 2025: Application opens to students
  • February 7, 2025: Application deadline
  • Mid to Late March 2025: Offer decisions released to students
  • April 2025: Student response deadline

Application Requirements

  • Student information including GPA and any relevant experience
  • Current transcript from a 4-year college or university
  • Statement of Purpose describing how participation in this program would align with research and career goals
  • 1 Letter of Recommendation
  • Selection of up to 3 projects from the list below

*The project listings below are for the Summer 2024 session. The list of Summer 2025 projects will be available soon.*


Biomedical Projects

  • Synthetic Gene Circuits For Regenerative Engineering

    Primary Investigators:
    Jonathan Brunger

    Brief Description of Project:
    Our lab takes a multi-disciplinary approach that integrates tissue engineering, synthetic biology, pluripotent stem cell technology, and genome engineering to understand diseases and design cell-based therapeutics. We have recently developed new methods to enable cells to sense features of a niche that are consistent with musculoskeletal pathology and neurodegeneration. We have shown we can then program these cells to execute defined scripts to locally activate cell differentiation, production of therapeutic compounds, or expression of genes that may help us dissect molecular bases for disease.

    This project will involve contributions in the following areas of these investigations:

    • Design and assembly of new gene circuits to control cell behaviors relevant to musculoskeletal regenerative medicine and studies of neurodegeneration
    • Production of gene delivery vehicles for implementation of cell engineering strategies
    • Cell-based and molecular assays (e.g., flow cytometry, luminescence assays, immunocytochemistry, ELISAs, gene expression profiling) to determine specificity of circuit responses and impact on cell and tissue function

    Desired Qualifications:
    Highly motivated students interested in research who have taken general chemistry and biology.

    Nature of Supervision:
    Hands-on training and support will be provided by a graduate student, who will serve as the researcher's primary mentor and interact directly on a daily basis. The student will participate in weekly lab group meetings. The undergraduate researcher will meet with the PI at least bi-weekly to discuss research progress.

    A Brief Research Plan (period is for 10 weeks):
    After completing safety training and acclimating to the lab during week 1, the student will be involved in cloning, sequencing, and purifying new gene expression vectors (wks 2-3). Lentivirus will be produced and used to engineer target cells (e.g. pluripotent stem cells, immortalized cell lines) with gene circuit platform components (wks 4-5). Students will then assess the influence of the artificial signaling circuit by a variety of outputs that may include measurement of reporter transgene expression (e.g., fluorescence microscopy, flow cytometry, luminescence assays), immunolabeling, qRT-PCR, and RNAseq (wks 6-9). The student will then prepare a final report and poster presentation during week 10.

    Number of Open Slots: 2

    Contact Information:
    Name: Jonathan Brunger
    Department: Biomedical Engineering
    Email: jonathan.m.brunger@vanderbilt.edu

  • Deep Networks for Ultrasound Cardiac Imaging

    Primary Investigators:
    Brett Byram

    Brief Description of Project:
    Cardiac ultrasound is one of the most common medical imaging exams, but the images are inadequate in most patients. We are working on developing new methods to overcome these shortcomings. There are lots of related projects including opportunities to work on the methods and opportunities to build PDMS phantoms to help evaluate the methods.

    Desired Qualifications:
    If you want to work on method development portions of the project then an interest in Matlab or similar is important. We will teach you what you need to know.

    Nature of Supervision:
    Daily contact with graduate student supervisor.  Weekly meetings with larger team, and regular contact with PI throughout the week.

    A Brief Research Plan (period is for 10 weeks):
    An example plan will look like the following:

    Weeks 1-2 orientation and work the grad student to understand the project. Also begin experiments.
    Weeks 3-4 continue experiments and begin to learn the existing Matlab processing pipeline. Identify summer specific task/targets for improvements.
    Weeks 5-6 continue experiments and begin algorithm (or hardware) developments.
    Weeks 7-9 continue with project and iterate as needed.
    Weeks 9.5-10 wrap up and pass project knowledge back to supervising graduate student and PI.

    Number of Open Slots: 2

    Contact Information:
    Name: Brett Byram
    Department: Biomedical Engineering
    Email: brett.c.byram@vanderbilt.edu

  • Neurophysiology of Cognitive Functions

    Primary Investigators:
    Christos Constantinidis

    Brief Description of Project:
    The research project seeks to understand the neurophysiology of the prefrontal cortex as it underlies working memory. The project obtaining behavioral data in working memory tasks and recording neural activity from the cerebral cortex using multi-contact probes in a non-human primate model. Use of optogenetic techniques to activate specifically targeted neuron types and computational methods to analyze neural activity will be developed in the course of the project.

    Desired Qualifications:
    Computer programming experience in the MATLAB (or Python) environment is desired.

    Nature of Supervision:
    The lab holds two events every week: a lab group meeting, and a research presentation by lab members. This project involves an international collaboration with colleagues in Spain, and the two teams meet over Zoom biweekly. Additional supervision of the student will be accomplished through biweekly individual meetings with PI. Day-to-day supervision and mentoring will also be provided by a senior graduate student in the lab.

    A Brief Research Plan (period is for 10 weeks):
    Students will be involved in collecting behavioral data daily from non-human primates performing working memory tasks. Pharmacological administration of NMDA antagonists will be performed on some sessions, to study the effects of NMDA receptor blockers. The students will also participated in the data acquisition of neurophysiological data, with 128-contact microelectrodes that can sample neural activity directly from the cerebral cortex. Finally, students will be involved in analysis of a completed dataset of neurophysiological recordings. Prior students participating in summer programs in the lab have developed research abstracts presented in national conferences and have co-authored publications.

    Number of Open Slots: 1

    Contact Information:
    Name: Christos Constantinidis
    Department: Biomedical Engineering
    Email: christos.constantinidis.1@vanderbilt.edu

  • Development and Evaluation of Novel MRI Methods

    Primary Investigator/s:
    Mark Does

    Brief Description of Project:
    The overall objectives are to develop and use MRI to report specific characteristics of tissue, such as axon diameter or myelin thickness in white matter, myofiber size and density in skeletal muscle, or pore and bound water concentrations in bone. To this end, we develop and use a variety of experimental NMR/MRI protocols, signal analysis methods, and computational modeling.

    Desired Qualifications:
    knowledge of MRI physics (desired, but not required), computer programming skills (MATLAB, C, CUDA, Python, any of the above)

    Nature of Supervision:
    The student will work under the supervision of Mark Does, and with the assistance of other staff and trainees in the lab.

    A Brief Research Plan (period is for 10 weeks):
    TBD

    Number of Slots: 1

    Contact Information
    Mark D. Does, Ph.D.
    Professor of Biomedical Engineering,  Radiology & Radiological Sciences
    Vanderbilt University Institute of Imaging Science
    R-1302E MCN
    1161 21 Ave South
    Nashville, TN 37232-2675
    615-322-8352
    mark.does@vanderbilt.edu

  • Engineering Nanoparticles for Peptide Delivery to Vascular Grafts

    Primary Investigator:
    Craig Duvall

    Brief Description of Project:
    Our lab recently developed a new polymer-based nano-formulation for delivery of therapeutic peptides to vascular grafts during transplant procedures (for patients undergoing bypass surgery due to blocked coronary arteries in the heart). We have shown therapeutic benefit of this drug delivery approach in preclinical models of vascular bypass and ex vivo in human tissue.

    This project will involve work on two aspects of this project:

    -Developing new, more reliable methods for fabrication of these nanoparticles to optimize their size and to make them more uniform.

    -Expand the use of this nano-formulation approach to new therapeutic peptides.

    Desired Qualification:
    Highly motivated students interested in research who have taken general chemistry and preferably BME 103 (biomaterials). Completion of organic chemistry class and lab are also desired but not required.

    Nature of Supervision:
    The undergraduate researcher will have the opportunity to meet at least weekly to discuss research progress with the PI. Hands-on training and support will be provided by a graduate student who will serve as a mentor.

    A Brief Research Plan (period is for 10 weeks):
    Students will be involved in development and optimization of a new nanoparticle fabrication approach with the goal of producing monodispersed particles of different sizes. The student will also complete basic nanoparticle characterization by dynamic light scattering and electron microscopy. The functional effect of various nanoparticle fabrication parameters will be assessed based on peptide delivery to cells and tissues.

    Number of Open Slots: 1

    Contact information:
    Craig L. Duvall, Ph.D.
    Assistant Professor
    Department of Biomedical Engineering
    PMB 351631
    2301 Vanderbilt Place
    Nashville, TN 37235-1631
    email: craig.duvall@vanderbilt.edu
    office phone: (615)322-3598
    fax: (615)343-7919
    web: https://www.duvall-lab.com

  • Targeted and Local siRNA Drug Delivery

    Primary Investigator:
    Craig Duvall

    Brief Description of Project:
    Our lab has recently synthesized and screened a new library of synthetic polymers designed to form nanoparticles for delivery of short interfering RNA (siRNA) for gene therapy (targeted gene silencing) applications. We have optimized the pH-responsiveness of these polymeric carriers to enable endosomal escape and intracellular delivery / gene silencing bioactivity of siRNA. We are now seeking to further improve upon this promising nanocarrier for biomedical applications.

    We are seeking researchers to contribute to two aspects of this project:

    1. Incorporation of targeting ligands to improve cell- and tissue-specific action in order to improve drug potency and reduce off-target effects following intravenous siRNA nanocarrier delivery.
    2. Build upon technologies invented in our laboratory for temporally-controlled, local delivery of siRNA nanocarriers in order to achieve sustained, potent bioactivity without the requirement for multiple applications / doses.

    Candidate Qualification:
    Highly motivated students interested in research who have taken general chemistry and preferably BME 103 (biomaterials). Completion of organic chemistry class and lab are also desired but not required.

    Nature of Supervision:
    The undergraduate researcher will have the opportunity to meet at least weekly to discuss research progress with the PI. Hands-on training and support will be provided by a graduate student who will serve as a mentor.

    A Brief Research Plan (period is for 10 weeks):
    Students will be involved in synthesis and in vitro testing of new forms of this nanocarrier amenable to functionalization with targeting ligands and / or fabrication of biodegradable polymer-based depots for sustained, local nanocarrier delivery. This will require polymer synthesis, basic nanoparticle characterization by GPC, DLS, TEM, and 1H-NMR, measurement of intracellular delivery in vitro, and measurement of gene expression. The student will be encouraged to interface and collaborate with other members of the Duvall lab and to utilize VINSE facilities.

    Number of Open Slots: 2

    Contact information:
    Craig L. Duvall, Ph.D.
    Assistant Professor
    Vanderbilt University
    Department of Biomedical Engineering
    PMB 351631
    2301 Vanderbilt Place
    Nashville, TN 37235-1631
    email: craig.duvall@vanderbilt.edu
    office phone: (615)322-3598
    fax: (615)343-7919
    web:  http://research.vuse.vanderbilt.edu/biomaterials/Duvall/index.html

  • Bio-Inkjet Printed Nanozymes for Smartphone-compatible, Rapid Antigen Detection

    Primary Investigators:
    Charleson Bell, PhD
    Todd D. Giorgio, PhD 

    Brief Description of Project:
    Our lab is currently developing a smartphone-compatible, paper-based device which can be used to detect the presence of antigen on facility surfaces.  The paper-based device uses specialized-nanolabeled antibodies, called nanozymes, to specifically bind targeted antigen and facilitate a color change upon binding.  Through bio-ink jet printing the nanozymes into a specific pattern, the color change can be reported to remote stakeholders via smartphone.  To further this research, we are seeking undergraduate researchers to contribute by co-developing protocols to test nanozyme bio-inkjet printing capability and smartphone readability.  Furthermore, scholars will have the opportunity to work with bacteria of high interest to medical and military agencies.

    Desired Qualifications:
    Highly motivated scholars with a willingness to learn and innovate who are interested in bioengineering research that involves aspects of chemistry, biology, nanotechnology and smartphone technology. A background in chemistry and bioengineering is highly recommended. Previous knowledge/experience with cell/microbe culture is also desired, but not required.

    Nature of Supervision:
    The undergraduate researcher will have the opportunity to meet at least once per week with the PI to discuss progress and next steps. Hands-on lab training and support will be provided by a research assistant who will serve as the mentor and primary point of contact.
     
    A Brief Research Plan (period is for 10 weeks):
    Scholars will be involved in the development (prototyping) and characterization of a nanozyme-immobilized nitrocellulose sheet.  SEM, TEM and florescent microscopy will be utilized to characterize the developed materials.  In fabrica testing will be performed by dropcasting antigen-containing aqueous solutions on the sheets.  Color intensities will be enumerated from smartphone-collected images via image analysis software.  Smartphone-readability will be validated using proprietary software and industry benchmarks.  There is a high chance that by the end of the 10 weeks, the project will progress towards the use of microbe-excreted antigen.

    Number of Open Slots: 2

    Contact Information:
    Name: Charleson Bell
    Department: Biomedical Engineering
    Email: c.s.bell@vanderbilt.edu

    Name: Todd D. Giorgio
    Department: Biomedical Engineering
    Email: todd.d.giorgio@vanderbilt.edu

  • Biomaterials For Sustained Release of Cancer Immunotherapy

    Primary Investigators:
    Todd Giorgio, PhD
    Richard Mu, PhD (Tennessee State University)
    Anil Shanker, PhD (Meharry Medical College)

    Brief Description of Project:
    The overarching objective of this project is to develop biomaterials capable of sustained release of protein-based cancer immunotherapies.  Co-axial electrospray will be used to form microparticles with a protein core and a poly(lactic-co-glycolic acid) (PLGA) shell.  We aim to prepare materials that release their protein cargo over the period of 2-3 weeks.  The application for these materials is ovarian cancer treatment with immunotherapies that can be administered as a single intraperitoneal injection.

    Desired Qualifications:
    Highly motivated students interested in research that involves aspects of nanoscale biomaterial design/ fabrication/ characterization, including sustained drug release.  A background in chemistry and or biomaterials would be valuable.  Previous knowledge/experience with particle characterization methods is also desired, but not required.
     
    Nature of Supervision:
    The undergraduate researcher will have the opportunity to meet at least once per week with the PI to discuss progress and next steps.  Full participation in weekly research group meetings is expected.  Hands-on lab training and support will be provided by a collaborating professor (Dr. Richard Mu, Tennessee State University) with expertise in particle fabrication by electrospray.  Other methods will be carried out in ESB under the supervision of senior predoctoral candidates with appropriate experience.  The overall design will be informed by Dr. Anil Shanker (Meharry Medical College); his laboratory will (eventually) test these materials in mouse models of ovarian cancer.
     
    A Brief Research Plan (period is for 10 weeks):
    Phase 1 involves the fundamental laboratory and practical skills associated with the preparation of core/shell microparticles by electrospray.  These activities include particle characterization by dynamic light scatter, microscopy and protein release kinetics.  Phase 2 is focused on optimization of the particle design and fabrication conditions based on target design characteristics and sustained release performance.  This part will ‘look like’ a screening approach in which we will iterate parameters such as solvent composition, potential difference and emitter-to-collector distance to produce particles with the desired properties.  Phase 3 involves the preparation and characterization of materials suitable for administration to mouse models of ovarian cancer.
     
    Number of Open Slots: 1
     
    Contact Information:
    Name: Todd Giorgio
    Department: Biomedical Engineering
    Email: todd.d.giorgio@vanderbilt.edu

  • Machine Learning in Diffusion MRI

    Primary Investigators:
    Kevin Harkins
     
    Brief Description of Project:
    This overall objective of this project is to improve our understanding of how tissue microstructure influences MRI, especially diffusion weighted MRI. The student will apply existing (or new?) machine learning frameworks to quantitatively compare histological images with MRI measurements.

    Desired Qualifications:
    Programming with Python/Matlab/C/etc; experience or interest deep learning frameworks like PyTorch or TensorFlow; experience with medical imaging preferred, especially MRI and (electron or light) microscopy.
     
    Nature of Supervision:
    Summer student will meet at least weekly with the advisor's research group, and as needed with the advisor to discuss the project.
     
    A Brief Research Plan (period is for 10 weeks):
    In the first couple weeks, the student will learn an existing machine learning framework and apply it with provided example histological samples. Over the rest of the project, the student will adapt machine learning frameworks to new histology image sets and/or MRI acquisitions.
     
    Number of Open Slots: 1
     
    Contact Information:
    Name: Kevin Harkins
    Department: Biomedical Engineering
    Email: kevin.harkins@vanderbilt.edu

  • Pathogen Detection in Low Resource Settings

    Primary Investigators:
    Rick Haselton
    Megan Pask
    Graduate Students

    Brief Description of Project:
    A major stumbling block to low resource and/or home diagnostics is simplicity of design.  Complex designs drive up the cost of manufacturing and fail to perform properly in the hands of those unskilled in the principals of operation of the device.  The goal of this project is to further develop and test a simple diagnostic design which is inexpensive to manufacture, is simple to operate and can be readily interpreted by the unskilled end-user in a low resource environment.

    A major focus of recent efforts is the detection of drug-resistant pathogens. In these projects, we seek to develop methods for detecting nucleic acid sequences in a sample that indicate drug susceptibility or drug resistance.

    We are particularly interested in developing designs which do not require instrumentation to interpret the test results.  Some sort of visible outcome would appear to be ideal.  One promising design is based on the unique radial flow present in an evaporating water drop.  As noted by Deegan (Nature 97) the radial flow produces a characteristic “coffee ring” stain of small particles (coffee bean particulates!) readily visible by eye.  We are developing and testing a detector based on modulation of this simple phenomenon.  In our design, the presence of a pathogen in a small drop of fluid triggers a visible change in the ring structure at the edge of a drop dried on a glass surface.

    Desired Qualifications:
    Interest in global health and some background in experimental molecular biology..

    Nature of Supervision:
    Work with a research group consisting of Rick Haselton, Megan Pask and graduate students. Training in basic molecular biology techniques and their application to test specific benchtop procedures. Applicants are expected to participate in weekly lab discussions of project results.

    A Brief Research Plan (period is for 10 weeks):
    Our preliminary results suggest that several designs works well. In the summer, we plan to focus on some of the following questions: What is the limit of detection of a particular design? Is the design sensitive enough to detect the expected number of targets?  Are the built-in controls adequate to assure correct assay interpretation? Will the design also work for other applications?

    Number of Open Slots: 1

    Contact Information:
    Name: Rick Haselton
    Department: Biomedical Engineering
    Email: rick.haselton@vanderbilt.edu

  • Mechanotransduction of Cancer Cell Aggregates Within the Circulation

    Primary Investigators:
    Michael R. King
     
    Brief Description of Project:
    Mechanotransduction of cancer cells in the solid tumor environment is an active area of research, yet far less work has been done to examine the biological behavior of cancer and stromal cells in the blood flow environment. Recently, mechanical stimuli such as shear stress have received attention for their effects on cancer progression. For instance, studies have shown that shear stress has been associated with enhanced metastasis and cancer cell death. In the King Lab, the effect of shear stress on cancer cell survival and signaling is being investigated. These mechanical cues can be translated into biochemical responses in cells through the process of mechanotransduction. It is proposed to subject cell suspensions to repeated shear stress pulses in a multiwell plate format to study shear stress response and to develop “mechanoresistant” cell lines that will be phenotypically and genotypically characterized with the goal of identifying the drivers that enable cancer cells to survive in circulation. Moreover, given that the presence of CTC aggregates in the blood signal more aggressive and metastatic disease, multicellular aggregates modeled after aggregates isolated and characterized from prostate cancer patient blood samples will be tested in vitro for their mechanical responses, and also used to guide the development of model cells and spheroids to be injected into experimental mouse models of bloodborne metastasis.

    Desired Qualifications:
    Experience with mammalian cell culture is preferred, but not essential. Familiarity with basic chemistry and biology laboratory procedures. Ability to collect, organize, and present data.
     
    Nature of Supervision:
    The PI will meet weekly with the researcher in a lab meeting, and additionally as necessary. The researcher will receive training and daily supervision from a senior PhD student in the lab.
     
    A Brief Research Plan (period is for 10 weeks):
    Weeks 1-2: training and observation
    Weeks 3-8: experimentation and data collection, testing of different cell culture conditions on cellular shear stress responses.
    Week 9: analysis of data and preparation of final report
    Week 10: presentation of results.
     
    Number of Open Slots: 1
     
    Contact Information:
    Name: Michael King
    Department: Biomedical Engineering
    Email: mike.king@vanderbilt.edu

  • Measuring Brain Networks in Epilepsy

    Primary Investigators:
    Victoria Morgan
     
    Brief Description of Project:
    In this project we will investigate brain networks in patients with focal epilepsy at different disease stages (early after diagnosis and chronic). We will use MRI based measures of functional and structural connectivity and compare to healthy controls, clinical assessments of disease severity.

    Desired Qualifications:
    Matlab processing
    signal processing
    curiosity and creative thinking
     
    Nature of Supervision:
    The students will be supervised directly by a 4th year graduate student and the PI.
     
    A Brief Research Plan (period is for 10 weeks):
    Week 1 - introduction to human subjects research and MRI connectivity
    Week 2 - 3 - develop specific hypothesis and testing method
    Weeks 4-8 - data analysis
    Week 9 -10  finalize results
     
    Number of Open Slots: 1
     
    Contact Information:
    Name: Victoria Morgan
    Department: Biomedical Engineering
    Email: victoria.morgan@vumc.org

  • Role of Non-enzymatic Post-translational Modifications in Osteoporosis

    Primary Investigators:
    Jeff Nyman
     
    Brief Description of Project:
    The goal of this project is to identify non-enzymatic post-translational modifications in collagen type I that are related to the mechanical properties of human bone and that differ between subjects without osteoporosis and those with the disease. The project involves specimen preparation, mass spectrometry techniques, mechanical testing, and data analysis.

    Desired Qualifications:
    Experience with MATLAB
    Knowledgeable in mechanics of materials
     
    Nature of Supervision:
    Student will be trained by lab personnel in the various techniques
    Student wiill then be independently responsible for achieving the goal of the project
    Student will meet with lab and PI weekly
     
    A Brief Research Plan (period is for 10 weeks):
    Prepare bone specimens for mechanical testing. Incubate bones in different media to drive the formation of different post-translational modifications. After mechanical testing, extracts proteins for high performance liquid chromatography and liquid chromatography, tandem mass spectrometry. Submit samples to the mass spectrometry core. Prepare specimens for differential scanning calorimetry and thermal gravimetric analysis. Process data.
     
    Number of Open Slots: 1
     
    Contact Information:
    Name: Jeff Nyman
    Department: Biomedical Engineering
    Email: jeffry.s.nyman@vanderbilt.edu

  • Structural and Functional MRI of the Thoracolumbar Spinal Cord

    Primary Investigators:
    Kristin O'Grady
     
    Brief Description of Project:
    Bladder dysfunction and impaired gait are highly prevalent symptoms affecting quality of life in multiple sclerosis, a neurological disease that results in demyelination and neurodegeneration in the brain and spinal cord. Unfortunately, there is a lack of quantitative, advanced magnetic resonance imaging (MRI) methods targeting the thoracolumbar spinal cord segments which are relevant to bladder and lower limb function. The overall goals of our research are to 1) develop and validate quantitative MRI methods for characterizing macrostructure, microstructure, and functional connectivity in the thoracolumbar spinal cord and 2) evaluate these methods as potential biomarkers for neurological deficits in patients with multiple sclerosis.

    Desired Qualifications:
    Proficiency in MATLAB or other programming experience such as Python will be helpful, although not required. Interest in MRI and neuroscience.
     
    Nature of Supervision:
    The student will be directly supervised by Dr. O’Grady and will have additional support from other lab members. Individual research meetings to discuss progress and results will take place at least once per week depending on project needs, and the student will participate in biweekly lab meetings.
     
    A Brief Research Plan (period is for 10 weeks):
    Week 1: Introduction to the lab, the project, and background reading
    Week 2: Introduction to MRI data acquisition and image processing methods
    Week 3: Image processing tutorials and training in lab-specific code
    Weeks 4-7: Processing spinal cord MRI data using Spinal Cord Toolbox and MATLAB
    Week 8: Compiling MS symptom data from sensorimotor testing
    Week 9: Correlating MRI-derived metrics and measures of MS symptoms
    Week 10: Summarizing results, preparing an abstract and research poster
     
    Number of Open Slots: 1
     
    Contact Information:
    Name: Kristin O'Grady
    Department: Biomedical Engineering
    Email: kristin.p.ogrady@vanderbilt.edu

  • Microenvironmental Effects on Cancer Progression

    Primary Investigators:
    Cynthia Reinhart-King
     
    Brief Description of Project:
    The extracellular matrix is a complex three-dimensional network or interconnected cell-scale fibers and pores that serve to direct tissue morphogenesis. Moreover, the extracellular matrix provides a dynamic and bioactive structure that directs cell behavior through chemical and mechanical signals. The Reinhart-King lab investigates how cells integrate extracellular signals and translate them into normal or diseased behaviors. We utilize a multidisciplinary approach, integrating principles from engineering, cell and molecular biology, biophysics, and biomaterial science to understand and control cell function, tissue formation, and disease progression. Specifically, we apply these approaches to better understand the influence of mechanical cues from the extracellular matrix on cancer progression.

    Desired Qualifications:
    Highly motivated students interested in research with some background in general biology. Wet laboratory skills and some experience with cell culture techniques is beneficial but not required.
     
    Nature of Supervision:
    Biweekly individual meetings with PI and biweekly lab group meetings. Day-to-day supervision and mentoring will be provided by a graduate student working in the lab.
     
    A Brief Research Plan (period is for 10 weeks):
    Students will be involved in the development of three-dimensional models and applying these models to study cell function. Students will learn cell culture techniques as well as to perform cytochemical assays and microscopy. These techniques will be applied to investigate biological questions of interest.
     
    Number of Open Slots: 1
     
    Contact Information:
    Name: Cynthia Reinhart-King
    Department: Biomedical Engineering
    Email: cynthia.reinhart-king@Vanderbilt.Edu

  • Multimodal Optical Technologies for Fluorescence and Reflectance Ophthalmic Imaging in Rodent Animal Models

    Primary Investigators:
    Yuankai Tao
     
    Brief Description of Project:
    Rodents are ideal models for studying disease pathogenesis and response to genetic and pharmacological perturbation in the eye. Optical imaging methods enable noninvasive cellular-resolution visualization of tissue structure and function. We will develop a multimodality optical imaging system that provides simultaneous fluorescence and reflectance contrast of retina microstructure and function. Complementary contrast from these modalities will enable real-time image-guided delivery of gene and stem-cell therapies in mouse models of retinal disease and longitudinal tracking of physiological response.

    Desired Qualifications:
    Required: 1+ semester of circuits and proficiency with Matlab or LabView. Preferred: 2+ semesters of circuits, 1+ semester of signals and systems, and proficiency with C/C++ and SolidWorks.

    Nature of Supervision:
    Student(s) will be directly supervised by Primary Investigator and his graduate students.
     
    A Brief Research Plan (period is for 10 weeks):
    Week 0-2: Hands-on training in SolidWorks, ZEMAX (optical simulation), and fluorescence/reflectance imaging systems.
    Week 2-5: Optical and mechanical design and simulation.
    Week 5-7: Prototyping and system characterization.
    Week 8-9: Animal imaging experiments.
    Week 9-10: Compile data, summarize results, submit abstract for relevant conference.

    Number of Open Slots: 1

    Contact Information:
    Name: Yuankai Tao
    Department: Biomedical Engineering
    Email: yuankai.tao@vanderbilt.edu

  • Widefield Three-dimensional Mosaicking of Multiple Overlapping Volumetric Datasets

    Primary Investigators:
    Yuankai Kenny Tao
     
    Brief Description of Project:
    The incidence of diabetic retinopathy (retinal damage due to diabetes) has increased significant in recent years. Early diagnostics and therapeutic guidance is currently limited by the ability to visualize changes in retinal vascular perfusion at the retinal periphery. Optical coherence tomography (OCT) enables noninvasive volumetric imaging of surface and subsurface tissue structures with micron-resolution and has become the “gold standard” for ophthalmic imaging and diagnostics. However, the field-of-view of conventional OCT is limited, and multi-volumetric mosaicking of OCT data is required to access the retinal periphery. Novel image-processing algorithms will be developed to identify corresponding fiducials and perform nonlinear registration on overlapping OCT volumes.

    Desired Qualifications:
    Required: Proficiency with Matlab and/or ImageJ. Preferred: 1+ semester of signals and systems, and image-processing experience.
     
    Nature of Supervision:
    Student(s) will be directly supervised by Primary Investigator and his graduate students.
     
    A Brief Research Plan (period is for 10 weeks):
    Week 0-2: Introduction to existing algorithms and data.
    Week 2-5: Development of novel registration methods.
    Week 5-7: Preliminary testing on existing dataset.
    Week 8-9: Validate and quantify algorithm performance on new data.
    Week 9-10: Compile data, summarize results, submit abstract for relevant conference.
     
    Number of Open Slots: 1
     
    Contact Information:
    Name: Yuankai Tao
    Department: Biomedical Engineering
    Email: yuankai.tao@vanderbilt.edu

  • Functional Imaging of Lymphatics Using Optical Coherence Tomography

    Primary Investigators:
    Yuankai Kenny Tao
     
    Brief Description of Project:
    Optical coherence tomography (OCT) is a noninvasive imaging technology that is analogous to ultrasound with light. Applications of OCT imaging have predominately focused on structural imaging of surface and subsurface features with micron resolution. However, OCT can also be applied to quantitatively image perfusion, and we will leverage functional OCT imaging to assess lymphatic function in animal models.

    Desired Qualifications:
    Required: 1+ semester of circuits and proficiency with Matlab or LabView. Preferred: 2+ semesters of circuits, 1+ semester of signals and systems, and proficiency with C/C++ and SolidWorks.
     
    Nature of Supervision:
    Student(s) will be directly supervised by Primary Investigator and his graduate students.
     
    A Brief Research Plan (period is for 10 weeks):
    Week 0-2: Hands-on training in OCT imaging systems.
    Week 2-5: Development of flow phantoms and validation experiments.
    Week 5-7: Animal imaging experiments.
    Week 8-9: Quantitative data analysis.
    Week 9-10: Compile data, summarize results, submit abstract for relevant conference.
     
    Number of Open Slots: 1
     
    Contact Information:
    Name: Yuankai Tao
    Department: Biomedical Engineering
    Email: yuankai.tao@vanderbilt.edu

  • Optical Imaging of the Retina

    Primary Investigators:
    MD Imam Uddin, Ph.D.
     
    Brief Description of Project:
    We have developed mRNA targeted optical imaging probes to detect disease in the retina and the brain. These imaging methods will be useful in visualizing disease onset, progression and response to therapy.  In future studies, potential student(s) will design and synthesize novel optical imaging probes and test their sensitivity, specificity and toxicity in vitro and in vivo.

    Desired Qualifications:
    Concepts in basic molecular biology and chemical synthesis is required.
     
    Nature of Supervision:
    Students will be under direct supervision by senior research staff in the laboratory.
     
    A Brief Research Plan (period is for 10 weeks):
    Synthesis of RNA and DNA molecules using our automated oligo synthesizer and characterize the compounds. Students will perform experiments related to nanoparticles synthesis and characterization using dynamic light scattering (DLS) and transmission electron microscopy (TEM).
     
    Number of Open Slots: 2
     
    Contact Information:
    Name: MD Imam Uddin, Ph.D.
    Department: Biomedical Engineering
    Email: md.i.uddin@vanderbilt.edu

  • Exosomes for Kidney Regeneration in Diabetic Nephropathy

    Primary Investigators:
    Lauren Woodard
     
    Brief Description of Project:
    Approximately 20-40% of adults with diabetes develop a progressive kidney disease called diabetic nephropathy. One of the important events in early diabetic nephropathy is loss of podocytes, the epithelial cells of the glomerulus responsible for filtering the blood and react to a high glucose environment. Different chemically defined methods have been developed for directing the differentiation of hiPSC into podocytes. Our lab has successfully derived podocytes from hiPSCs using our own accelerated method.  Podocytes derived from human induced pluripotent stem cells provide a model of diabetic kidney disease in vitro. Exosomes derived from renal cells reduced kidney complications from type I diabetes in rats. As stem cell exosomes promote cell survival in other organs, we hypothesize that nephron progenitor exosomes will have therapeutic benefits for podocyte survival. We will evaluate the therapeutic potential of extracellular vesicles from induced nephron progenitors in tissue culture models of diabetic nephropathy. We will differentiate podocytes from hiPSCs using our lab derived protocol. High glucose treatment in podocyte cell culture media has been widely used for modeling diabetic nephropathy. Podocytes will be treated with high glucose to model diabetic nephropathy. We will then evaluate the effect of exosomes isolated from induced nephron progenitor cells on podocyte apoptosis and morphology in vitro.

    Desired Qualifications:
    Undergraduate with desire to gain wet lab experience in biology
     
    Nature of Supervision:
    Student will be supervised directly by Dr. Julie Bejoy (PhD in BME, 2019) and meet regularly with Dr. Lauren Woodard. Student will present to lab meeting at the end of the summer and prepare a poster to present at an undergraduate research day.
     
    A Brief Research Plan (period is for 10 weeks):
    Treatment of hiPSC-derived high glucose treated podocytes with exosomes. 100 mM D-glucose treated podocytes will be treated with different doses of exosomes for 24 hours after glucose treatment. The impact of exosomes on podocyte apoptosis will be evaluated using LDH and MTT assays as well as flow cytometry analysis for Annexin V and cell permeability. RNAseq analysis will be performed on three groups (control, glucose-treated podocytes, glucose-treated podocytes+exosomes).
     
    Number of Open Slots: 1
     
    Contact Information:
    Name: Lauren Woodard
    Department: Biomedical Engineering
    Email: lauren.woodard@vumc.org

Chemical and Biomolecular Projects

  • Aggregation Dynamics of Colloids Under Diffusioelectrophoretic Levitation

    Primary Investigators:
    Carlos A. Silvera Batista

    Brief Description of Project:
    Control of the spatial arrangement of uniform and anisotropic colloids into 3D lattices is of scientific and technological interest to achieve materials with novel properties such as optical bandgaps and structural colors. Electric fields are a useful external input of energy that can help rapidly and controllably concentrate colloidal suspensions to the point of liquid/crystals transitions by creating gradients in osmotic pressure. Electric fields can also impart directionality to colloidal interactions through induced multipoles, while the large and easy-to-navigate parameter space provides versatility. Therefore, knowledge of the dynamics and forces that colloids experience under electric fields is essential for the fabrication and engineering of reconfigurable materials. A parameter space of interest is where electrokinetics becomes relevant and ions respond to fields. The electrokinetic behavior of anisotropic colloids in fields at low frequency shows emerging forms of transport processes (diffusioelectrophoresis) that manifest into unique levitation and aggregation behavior that can be exploited in separation and microfluidic operations. But most interestingly, while levitating, the colloids experience collective dynamics that results in clustering despite the particles holding similar charges. The objective of this project is to unravel the physical origins of such counterintuitive collective dynamics. Research tasks will include the fabrication and surface modification of uniform and anisotropic colloids, the characterization of surface properties, the application of DC and low frequency AC fields, visualization of individual and collective dynamics through confocal microscopy, image analysis and particle tracking.

    Desired Qualifications:
    Basic programming skills

    Nature of Supervision:
    The student will mostly work under my direct supervision and at times will work alongside a graduate student. I will meet the student weekly to discuss progress and research goals. He/She will have a chance to improve his/her research skills and communication skills by presenting the work regularly in our group meetings. My travel throughout the summer will be minimal (less than a week), which will ensure that the student will always have either myself or the graduate student for assistance and guidance.

    A Brief Research Plan (period is for 10 weeks):
    Training on confocal microscopy and surface characterization (Week 1-2)

    Number of Open Slots: 1

    Contact Information:
    Name: Carlos Silvera Batista
    Department: Chemical and Biomolecular Engineering
    Email: silvera.batista@vanderbilt.edu

  • Injectable Biocomposites for Bone Regeneration

    Weight-bearing resorbable bone implants

    Primary Investigators:
    Scott A. Guelcher (PI) (ChBE)

    Brief Description of Project:
    A fundamental goal of bone tissue engineering is to design and develop biodegradable materials having targeted biological and biomechanical properties that direct regeneration and healing of damaged tissues in vivo.  There is a particularly compelling clinical need for injectable therapies that promote fracture healing in orthopaedic  patients with complex fractures. The undergraduate student will participate in research to create new biomaterial-based implants for bone tissue engineering.
     
    Desired Qualifications:
    Prior laboratory experience.
     
    Nature of Supervision:
    Weekly individual meetings with the PI. Day-to-day supervision and mentoring by a senior student working in the lab.

    A Brief Research Plan (period is for 10 weeks):
    Students will learn cell materials synthesis and characterization, cell culture, and/or mechanical testing techniques, which will be applied to designing new biomedical implants.

    Number of Open Slots: 2

    Contact Information:
    Scott A Guelcher
    Assistant Professor, Department of Chemical and Biomolecular Engineering
    Phone: 322-9097
    scott.guelcher@vanderbilt.edu

  • Synthesis of Polymer Membranes for Dehydration of Ethanol

    Primary Investigators:
    G. Kane Jennings (lead)
    Shihong Lin
     
    Brief Description of Project:
    The rational design of the next generation of membranes for solvent-solvent separations is a significant challenge, given the vast chemical and design space, but could be realized by Materials Genome Initiative (MGI)-inspired screening and has the potential to transform the membrane development paradigm. This project is developing functionality- and performance-driven screening with close coupling between simulations and experiment to tailor high-performance membranes for targeted separations. Specifically, we will focus on the dehydration of polar solvents by pervaporation where effective new materials can eliminate the need for high-cost and high-energy separations while enabling effective solvent reuse for sustainable manufacturing.

    We have developed a method called spin coating ring opening metathesis polymerization (scROMP) that enables the fabrication of polymeric membranes simply and rapidly with control over membrane thickness by varying spin speed.  The current “scaffold” polymer contains two acyl chlorides in each repeat unit for straightforward conversion by amines and alcohols to thousands of polymer film compositions.  This vast experimental space, coupled with simulations that guide the experiments, enables us to discover new membrane compositions that are ripe for further development in this area.  The initial focus has been on modification of the scaffold polymer film to generate charged, cross-linked membranes that are designed to favor water over polar organics.  Simulations are examining the structure and interactions of oligomers of this same composition in water versus polar organics.  Results from the simulations will ultimately guide the choice of polymer compositions and the cross-linking levels to achieve highly selective transport of water from the polar organic.

    Desired Qualifications:
    Interest in experimental research, completion of organic chemistry
     
    Nature of Supervision:
    The student will be mentored in the lab directly by a Ph.D. student.  The student will meet with formally with Prof. Jennings weekly (informally more often), and with the entire project team biweekly.
     
    A Brief Research Plan (period is for 10 weeks):
    Week 1: Learn the spin coating ROMP process; learn to characterize films
    Weeks 2 - 4:  Vary spin speed and monomer concentration to achieve uniform conformal thin film composite membranes that cover pores and enable high permeance of pure water
    Weeks 6 - 5:  Investigate the effect of polymer composition on the membrane selectivity for water over ethanol and the pure water permeance.
    Week 10: Summarize key findings and develop final presentation and poster.

    Number of Open Slots: 1
     
    Contact Information:
    Name: G. Kane Jennings
    Department: Chemical and Biomolecular Engineering
    Email: kane.g.jennings@vanderbilt.edu

  • Atomistic Understanding of Nanostructures for Anion-Storage Batteries

    Primary Investigators:
    De-en Jiang
     
    Brief Description of Project:
    The project will focus on computational modeling of novel nanostructures (e.g., nanochannels) inside oxide-based electrode materials that allow reversible anion storage at high capacity. Students working in the Jiang group would learn how to build atomistic models for electrode materials, how to carry out first principles calculations, and how to simulate atomistic processes of ion storage inside battery electrodes. Students will gain an appreciation for first principles calculations, materials modeling, battery chemistry, and electric energy storage.

    Desired Qualifications:
    This project is best suited for a student interested in computational nanoscience, materials chemistry, and battery research. Knowledge of Linux operating system, solid-state chemistry, and quantum mechanics is a plus.
     
    Nature of Supervision:
    A graduate student or a postdoc will be assigned to help and mentor the undergraduate student researcher, under the supervision of the PI. Three-person meetings among the PI, the senior group member assigned, and the undergraduate student researcher will be held in the beginning, the middle, and the end of the summer program.
     
    A Brief Research Plan (period is for 10 weeks):
    Wk 1-2, Linux operating systems and software tutorials
    Wk 3-4, structure building
    Wk 5-8, running simulations and analysis of results
    Wk 9-10, summary and preparation of report/poster
     
    Number of Open Slots: 1
     
    Contact Information:
    Name: De-en Jiang
    Department: Chemical and Biomolecular Engineering
    Email: de-en.jiang@vanderbilt.edu

  • Mechanobiology of the T cell Receptor

    Primary Investigators:
    Matthew Lang
     
    Brief Description of Project:
    The T cell receptor is a mechanosensor that utilizes force to detect diseased cells. At the heart of the interaction is a pairing between a variable T Cell receptor and a foreign or modified peptide.  Our lab employs a panel of assays to measure the strength of this interaction under load. This project will involve performing such measurements using optical tweezers and other force probe methods. This project will also involve development of force sensors and methods to assist in calibrations and measurement throughput.

    Desired Qualifications:
    Familiarity with wet protocols, measurement and instrumentation, programming. Strong work ethic. Creativity and ability to work independently as well as with a team.  An interest in continuing with the project during the academic year is welcomed. The ability to work with collaborators and communicate results is also desired.
     
    Nature of Supervision:
    Supervision will be through Prof. Lang and his graduate students.
     
    A Brief Research Plan (period is for 10 weeks):
    Initially the student will learn the ropes of the wet assays and instrumentation. Next the student will be paired with a graduate student shadowing and assisting with measurements. The student will then be given some independent projects to work on such as developing new assays or measurement capabilities.
     
    Number of Open Slots: 1
     
    Contact Information:
    Name: Matthew Lang
    Department: Chemical and Biomolecular Engineering
    Email: Matt.lang@vanderbilt.edu

  • Investigating the Tumor and Tissue Microenvironment After Therapy

    Primary Investigators:
    Marjan Rafat
     
    Brief Description of Project:
    Previous studies have found that immunocompromised patients are more susceptible to breast cancer recurrence following radiation damage. In pre-clinical mouse models, radiation enhances both macrophage infiltration and tumor cell recruitment to normal tissues in the absence of CD8+ T cells. The mechanisms by which tumor cells can be attracted to damaged sites are largely unknown. Understanding these mechanisms can help breast cancer patients prevent local recurrence. This project has two goals: 1. to determine how changes in the extracellular matrix after radiation influence tumor cell recruitment, and 2. to evaluate how secreted factors regulate macrophage and tumor cell behavior after radiation damage.

    Desired Qualifications:
    The Rafat Lab is accepting undergraduate students who would like to conduct breast cancer research. Serious consideration will be given to students who have a strong interest in pursuing a future PhD or MD/PhD. A minimum GPA of 3.5  and knowledge of basic research approaches are favored but not required.
     
    Nature of Supervision:
    Students will be supervised by Dr. Rafat directly regarding research goals. They will meet with her individually to evaluate research progress. She will assist them in literature searches initially to provide information about selecting appropriate and relevant papers with the goal that they will learn to do so on their own. She will provide feedback on bi-weekly written reports that serve to enhance the students' scientific communication skills. In addition to Dr. Rafat's supervision, undergraduate students will be supervised by graduate students working in the Rafat Lab. These graduate students will supervise them on a daily basis to ensure that their concerns can be addressed, their questions are being answered, and research is being conducted in a safe and responsible manner. This supervision is intended not only for the undergraduates to use proper techniques but also for them to learn how to think critically and creatively to prepare them for a potential research career.
     
    A Brief Research Plan (period is for 10 weeks):
    Students will participate in one of two areas. In one area, students will evaluate the effect of radiation on the extracellular matrix (ECM) in normal tissues by performing immunohistochemistry. Characteristics in pre-irradiated tissues will be compared to tissues damaged by radiation over a time period of 10 days. Students will be able to image the stained slides, quantify the images, and analyze the data to determine how radiation-induced changes in the ECM influence tumor cell recruitment. Students will also evaluate how the ECM alters tumor cell behavior by fabricating ECM hydrogels that mimic in vivo changes after irradiation, which will be used to determine the effect on tumor cell proliferation, migration, and invasion. In the second arm of the project, students will probe differences in normal tissue cytokine secretion following radiation in immunocompromised and immunocompetent mice. Previous studies indicate that CD8+ T cells regulate the infiltration or proliferation of macrophages into damaged tissues, so students will evaluate how CD8+ T cell removal and macrophage infiltration alter secreted factors in damaged tissues through analyzing data from Luminex immunoassays. To test these factors, students will optimize and perform invasion and chemotaxis assays using conditioned media from control and irradiated fibroblast and adipocyte cells to determine how the radiation response of normal cells influences tumor and immune cell behavior. The students will learn how to image fluorescent and migrating cells, quantify migration and proliferation, and analyze data to determine the mechanisms by which radiation regulates tumor and immune cell dynamics. Finally, all students will have the opportunity to present their independent research findings at laboratory meetings.
     
    Number of Open Slots: 2
     
    Contact Information:
    Name: Marjan Rafat
    Title: Assistant Professor
    Department: Chemical and Biomolecular Engineering
    Campus Address: ESB 426
    Email: marjan.rafat@vanderbilt.edu
    Phone: (615) 343-3899

  • Engineering Protein-Drug Conjugates for Cancer Immunotherapy

    Primary Investigators:
    John T. Wilson (PI)
    Blaise Kimmel (postdoc and primary research mentor)
    Neil Chada (graduate student)
     
    Brief Description of Project:
    The goal of this project is to engineer a bispecific nanobody for tumor targeted delivery of small molecule immunotherapeutics. The undergraduate student, Jonah Finkelstein, has been working in our lab over the past academic year and has developed skills in cloning and protein engineering and production. During the summer, he will further leverage these skills to conduct an independent project in which he will engineer a bispecific nanobody with one domain that targets serum albumin and another domain that targets B7-H3 and has a tag for site-selective ligation of a small molecule STING agonist. This will provide experience in areas of molecular biology, chemistry, immunology, and pharmaceutical engineering.

    Desired Qualifications:
    Prior experience in cell and molecular biology, including cloning and protein expression.
     
    Nature of Supervision:
    The student will supervised by a postdoc in the lab, Dr. Blaise Kimmel, and a graduate student in the lab, Neil Chada. They will supervise all aspects of the project and will work closely with the student over the course of the summer, interacting almost daily. The PI will meet with the group at least every two weeks to discuss the project and the PI and student will meet individually at the beginning and end of the project period to discuss project and career development goals. The student will have an opportunity to present their work throughout the semester in weekly lab and small group meetings.
     
    A Brief Research Plan (period is for 10 weeks):
    The proposed research plan for the 10 week period is:
    1. Design and build a plasmid for expression of a fusion protein comprising an anti-albumin and an anti-B7H3 nanobody that also has a site for sortase-mediated ligation of azide groups. 
    2. Clone the construct into E. coli. The student has experience with cloning and expression of the anti-albumin nanobody and will use this workflow to clone a fusion protein that contains the anti-B7H3 domain. 
    3. Express and purify the fusion protein. The student has experience with this process and so will begin to work independently to express and purify the protein and characterize it by SDS-PAGE and mass spectrometry. 
    4. Perform a sortase-mediated ligation of an amino-PEG-azide linker and characterize conjugation efficiency via mass spectrometry. 
    5. Conjugate a DBCO-modified dye to the azide group of the protein and characterize via UV-vis spectroscopy. 
    6. Evaluate the binding affinity of the fusion protein to albumin via isothermal calorimetry and binding to B7-H3-expressing cells via flow cytometry.

    Number of Open Slots: 1
     
    Contact Information:
    Name: John T. Wilson
    Department: Chemical and Biomolecular Engineering
    Email: john.t.wilson@vanderbilt.edu

  • Metabolic Engineering

    Primary Investigators:
    Jamey D. Young, Ph.D.
     
    Brief Description of Project:
    The undergraduate student will be involved in research to engineer the metabolic pathways of cells to understand disease mechanisms or to produce commercial products.

    Desired Qualifications:
    Prior cell culture or biochemistry lab experience.
     
    Nature of Supervision:
    Weekly individual meetings with PI and weekly lab group meetings. Day-to-day supervision and mentoring by a senior mentor working in the lab.
     
    A Brief Research Plan (period is for 10 weeks):
    Student will learn cell culture techniques and metabolic assays. Student will apply these methods to investigate biological questions of interest.
     
    Number of Open Slots: 1
     
    Contact Information:
    Name: Jamey D. Young
    Department: Chemical and Biomolecular Engineering
    Email: j.d.young@vanderbilt.edu

Civil and Environmental Projects

  • Simulating Fracture of Antarctic Ice Shelves Using Damage Mechanics Models

    Primary Investigators:
    Ravindra Duddu
     
    Brief Description of Project:
    The Antarctic ice sheet is the largest single mass of ice on Earth, which, if melted, would cause sea levels to rise by 58 meters. The Antarctic ice sheet is mostly grounded on bedrock, but there several large floating ice shelves that partially submerged in the sea due to buoyancy forces. As climate change facilitates warmer ocean and air currents in certain regions of the Antarctic continent, the floating ice sheets can undergo more rapid thinning due to melting and fracture, giving birth to large icebergs. Warmer seawater or meltwater can also seep into cracks within the ice and cause hydraulic fractures. If the floating ice shelves disintegrate, then the grounded ice cliffs become exposed leading to ice cliff failure and enhanced ice flow from land into the sea, which has the potential to raise the average sea level worldwide by a meter or more by end of this century. This will have tremendous socio-economic, environmental, and political consequences worldwide, especially, for coastal regions that are highly populated. The purpose of my summer research will be to perform finite element analysis of floating Antarctic Ice Shelves and use continuum damage mechanics to simulate fracture propagation. The broader research objective is to understand the mechanical stress state and the evolution of fractures in the ice shelves over time and address the feedbacks between climate change and ice shelf fractures due to hydraulic fracture mechanisms.

    Desired Qualifications: 
    Interest in mechanics of materials, computational modeling and environmental science. Self-motivated and interested in programming in Python. Good writing and communications skills. It is also desirable that the student have interest and/or experience in the following areas:

    Advanced calculus, partial differential equations
    Statics and Engineering Mechanics
    Mechanics of Materials
    Fluid Statics and Mechanics
    Finite element analysis 

    Nature of Supervision:
    Weekly meetings will be held with the student to monitor the progress of the project. The student will work under the supervision of a graduate student during the week.
     
    A Brief Research Plan (period is for 10 weeks):
    Learn basics of damage mechanics and finite element modeling - 2 weeks
    Conduct simulations in Python-based FEniCS software - 5 weeks
    Visualize and analyze simulation data in Python - 2 weeks
    Write a report and make a poster - 1 week 

    Number of Open Slots: 1
     
    Contact Information:
    Name: Ravindra Duddu
    Department: Civil and Environmental Engineering
    Email: ravindra.duddu@vanderbilt.edu

  • Selective Solute Separation

    Primary Investigators:
    Shihong Lin
     
    Brief Description of Project:
    The project will focus on selective solute separation (e.g., separation of lithium and magnesium) using membrane based process such as nanofiltration (NF) and/or electrodialysis (ED). The selected undergraduate student will work with graduate students to investigate the performance of NF or ED with novel configurations or membranes on the separation of lithium from brines containing multiple species. Lithium is a critical mineral for producing lithium-based battery which plays an important role in energy storage and electric vehicles.

    Desired Qualifications:
    Background in environmental engineering, chemical engineering, or chemistry.
     
    Nature of Supervision:
    The student will be working closely with graduate students and will participate in weekly group meeting.
     
    A Brief Research Plan (period is for 10 weeks):
    Lab safety training, literature review, and setting up research plan with graduate students in the first week.
    Perform experiments with graduate students for 8 weeks.
    Summarize results and prepare a report in the last week.
     
    Number of Open Slots: 1
     
    Contact Information:
    Name: Shihong Lin
    Department: Civil and Environmental Engineering
    Email: shihong.lin@vanderbilt.edu

Computer Science Projects

  • Learning-based Modeling and Control of Soft Robots

    Primary Investigators:
    Thomas Beckers
     
    Brief Description of Project:
    Soft robots represent one significant evolution of robotic systems, since they are designed to embody safe and natural behaviors. The modeling and control of these robots is often challenging due to complex physical structures based on the soft materials. A common approach is to derive a simple, dynamic model from first-principles that, however, is very time-consuming and lacks accuracy. To overcome this issue, machine learning techniques deliver promising results in modeling and control of soft robot dynamics. Even though these models are highly expressive, the underlying physics of the system are typically neglected that results in data-hungry models and lack of trustworthiness.

    The goal of this project is to 1) set-up a soft robot simulator 2) implement a physics-enhanced machine learning model and 3) use a model-based controller to steer the robot to a desired position.

    Desired Qualifications:
    - Highly motivated and independent thinker; interest on the intersection of machine learning, dynamical systems and soft robotics
    - Comfortable with mechatronic systems and the basics of control systems
    - Solid math background (linear algebra, differential equations)
    - Experience programming in Python

    Please feel free to contact the PI if you are interested in the project and have any questions about the qualifications.

    Nature of Supervision:
    Weekly one-to-one meetings with the PI including brief written reports about the past activities to keep track of the project process. The student can expect prompt feedback on project-related questions.
     
    A Brief Research Plan (period is for 10 weeks):
    Weeks 1-2: Setting up the soft robot simulator and learning the pipeline
    Weeks 3-4: Setting up the interface between the simulator and Python
    Weeks 5-8: Implementing and testing data-driven modeling and control approaches 
    Weeks 9-10: Analyze results and finalize report
     
    Number of Open Slots: 1
     
    Contact Information:
    Name: Thomas Beckers
    Department: Computer Science
    Email: thomas.beckers@vanderbilt.edu

  • Accessible Design for Low Vision in Virtual Reality

    Primary Investigators:
    Bobby Bodenheimer
     
    Brief Description of Project:
    The prevalence of the population with uncorrectable vision loss is startling. In 2010, 3 million people in the United States suffered from uncorrectable vision loss, with projections of 5 million by 2030 and close to 9 million by 2050 [nei.nih.gov]. Adult Americans at risk for vision loss (as defined by factors of older age, diabetes, eye disease) increased by 28 million from 2002 to 2017 to a total of 93 million. Efforts to make extended reality (XR) more inclusive and accessible have enabled people with visual impairment to use virtual and augmented reality (VR/AR) for applications such as assistive technology and rehabilitation, but this research proposes doing more. We want to refine and extend a low vision simulator to XR using records of low vision. We will build models of its progression using machine learning and implement those predictions in XR. We will investigate how our modeled, progressive simulation of low vision may influence the ability to perform critical aspects of navigation, since navigating safely and efficiently can be a significant challenge for those with low vision.

    Desired Qualifications:
    Strong programming skills in Java, C#, or C++. Knowledge of Unity or Unreal is a bonus. In the Vanderbilt curriculum, CS 2201 or 2204 required; CS 3251 would be best. Inquire if you have VR experience that may substitute.
     
    Nature of Supervision:
    This is a full-time summer internship. Projects will be supervised by the faculty mentor and other team members. Students will experience working in an interdisciplinary team. There is a weekly all-hands meeting and a weekly one-one meeting with the mentor. The project is run a light agile style.
     
    A Brief Research Plan (period is for 10 weeks):
    These are a full 10 week projects. Weeks 1-3 will be spent getting oriented and learning to use the virtual reality or augmented reality devices. Weeks 4-7 will be spent developing environments and code that support navigation in either virtual reality or augmented reality. Weeks 8-10 will be spent assessing and refining the developed environments and code.
     
    Number of Open Slots: 2
     
    Contact Information:
    Name: Robert E. Bodenheimer
    Department: Computer Science
    Email: bobby.bodenheimer@vanderbilt.edu

  • Locomotion and Navigation in Augmented and Virtual Reality

    Primary Investigators:
    Bobby Bodenheimer
     
    Brief Description of Project:
    Welcome to the metaverse. In this project, we strive to understand navigation and locomotion in immersive virtual environments (virtual reality, VR) or with virtual objects in the real world (augmented reality, AR). As games and other virtual environments move from the desktop into true VR, methods of moving around in large virtual environments will evolve with them. Will pushing on a thumb controller or mouse be the way to move and turn you when you control a full-bodied avatar immersively? Or will you be moving around in a dedicated space in your home or on an omni-directional treadmill. This research project will examine those questions. Likewise, as one navigates, how similar is it to what is done in the real world? And how can AR be incorporated into real world navigation in a seamless way to give us an improved experience, so that people are not looking down at their smartphones but are closer to a true joining of virtual and real? This project explores cutting edge research questions related to navigation and wayfinding using state-of-the-art equipment such as omnidirectional treadmills and the Microsoft Hololens 2.

    Desired Qualifications:
    Strong programming skills in Java, C#, or C++. Knowledge of Unity or Unreal is a bonus. In the Vanderbilt curriculum, CS 2201 or 2204 required; CS 3251 would be best. Inquire if you have VR experience that may substitute.
     
    Nature of Supervision:
    This is a full-time summer internship. Projects will be supervised by the faculty mentor and other team members. Students will experience working in an interdisciplinary team. There is a weekly all-hands meeting and a weekly one-one meeting with the mentor. The project is run a light agile style.
     
    A Brief Research Plan (period is for 10 weeks):
    These are a full 10 week projects. Weeks 1-3 will be spent getting oriented and learning to use the virtual reality or augmented reality devices. Weeks 4-7 will be spent developing environments and code that support navigation in either virtual reality or augmented reality. Weeks 8-10 will be spent assessing and refining the developed environments and code.
     
    Number of Open Slots: 2
     
    Contact Information:
    Name: Robert E. Bodenheimer
    Department: Computer Science
    Email: bobby.bodenheimer@vanderbilt.edu

  • Porting a Quantum Computing / Linear Algebra Software to GPUs

    Primary Investigators:
    David Hyde
     
    Brief Description of Project:
    I am developing a C++ codebase that runs certain linear algebra and optimization algorithms.  The context of the algorithms is at the intersection of quantum computing and machine learning, but a deep familiarity with those topics is not required to understand what the code is doing.

    The code is multithreaded on CPUs, but it could be much (e.g., 10 times) faster if it were run on a GPU instead of a CPU.  Using multiple GPUs (possibly spread across multiple machines), even greater speedups might be possible.

    The goal of this project is to port as much of the existing codebase as possible to run on GPUs and to measure the performance improvements of going to GPUs and/or multiple compute nodes.  We will then be able to use the codebase to run much more interesting quantum computing and machine learning applications.

    Desired Qualifications:
    Experience with CUDA (coursework and/or independent projects)
    Experience with MPI
    Experience with C++
    Experience with git
    Familiarity with linear algebra and optimization
    Familiarity with numerical algorithms for linear algebra and optimization
    Knowledge of machine learning algorithms
     
    Nature of Supervision:
    The student will meet at least once a week with the PI and may collaborate with graduate students or other undergraduates working on the project.  Communication and collaboration will occur also over platforms like Slack and GitHub.
     
    A Brief Research Plan (period is for 10 weeks):
    Study existing project and codebase - 1 week
    Develop single-GPU implementation of major algorithms - 3 weeks
    Extend to multi-GPU / multi-node implementation - 4 weeks
    Document and add tests to code - 1 week
    Write final report / make poster - 1 week
     
    Number of Open Slots: 1
     
    Contact Information:
    Name: David Hyde
    Department: Computer Science
    Email: david.hyde.1@vanderbilt.edu

  • Building a Cloud Platform for Physics Simulations

    Primary Investigators:
    David Hyde (CS), Ravindra Duddu (CEE)
     
    Brief Description of Project:
    We are building a cloud platform for scientific computing applications like physics simulations.  The platform enables researchers to very easily run their applications in the cloud, without the need of expensive workstations or supercomputers.  For Summer 2023, we plan to hire interns for two specific aspects of the project:
    1. A CS-focused intern who can build a web GUI for the platform (an API and CLI already exist)
    2. A CEE-focused intern who can make a demonstration of running an ice shelf fracture or similar problem on top of the cloud platform

    Although the two projects have particular focus areas, we are very open to hiring students outside these majors who are interested in gaining exposure to these fields.

    Desired Qualifications:
    For a CS-focused intern:
    Web application development experience
    Familiar with tools/concepts like Node.js, responsive design, single sign-on, mocking data and API responses
    Familiarity working with and/or building APIs
    Familiarity with cloud computing and different cloud providers (AWS, GCP, Azure)

    For a CEE-focused intern:
    Interest in mechanics of materials, computational modeling and environmental science. Self-motivated and interested in programming in Python. Good writing and communications skills. It is also desirable that the student have interest and/or experience in the following areas:

    Advanced calculus, partial differential equations
    Statics and Engineering Mechanics
    Mechanics of Materials
    Fluid Statics and Mechanics
    Finite element analysis 

    Nature of Supervision:
    Weekly meetings will be held with the student to monitor the progress of the project. The student will work under the supervision of a graduate student or postdoc during the week.
     
    A Brief Research Plan (period is for 10 weeks):
    For a CS-focused intern:
    Study API and design of cloud platform - 1 week
    Build web application on top of API - 6 weeks
    Add documentation and testing for code - 2 weeks
    Write report and make a poster - 1 week

    For a CEE-focused intern:
    Learn basics of damage mechanics and finite element modeling - 2 weeks
    Conduct simulations in Python-based FEniCS software and run in cloud - 5 weeks
    Visualize and analyze simulation data in Python - 2 weeks
    Write a report and make a poster - 1 week 

    Number of Open Slots: 2
     
    Contact Information:
    Name: David Hyde
    Department: Computer Science
    Email: david.hyde.1@vanderbilt.edu

  • Neural Network and Machine Learning Verification

    Primary Investigators:
    Taylor Johnson
     
    Brief Description of Project:
    In this project, students will help develop benchmarking processes for recent machine learning and neural network verification algorithms and tools, such as our nnv tool (https://github.com/verivital/nnv). These approaches allow, for example, to detect or prove the absence of perturbations that can cause various computer vision and machine perception tasks to misbehave, known colloquially as adversarial perturbations, but the source of which could be due to environmental uncertainty, noise, attackers, etc. Anticipated contributions include developing scripts for performing benchmarking of our methods and other research groups' recent approaches, to primarily be evaluated on convolutional neural networks (CNNs) on standard data sets, such as MNIST, CIFAR, and ImageNet.

    Desired Qualifications:
    Students at all levels (freshman through senior) are welcome and will be able to help refine our prototype systems and approach. Programming experience in Matlab, Java, and Python would all be desirable, as would prior experience with machine learning frameworks, such as Keras, TensorFlow, etc. All code will be version controlled using Git/Mercurial, which experience with is desired, but not required.
     
    Nature of Supervision:
    The adviser will hold weekly group meetings with the undergraduates, current PhD students, and postdocs, as well as approximately weekly individual meetings with undergraduate students. The current group members are available here: http://www.taylortjohnson.com/?m=people
     
    A Brief Research Plan (period is for 10 weeks):
    In the first 2-3 weeks, students will learn about machine learning and our existing prototype framework called nnv (https://github.com/verivital/nnv). In weeks 4-9, students will develop and test extensions to our framework, as well as developing benchmarking processes for our tools as well as other research groups' tools, evaluating on standard convolutional neural networks and image data sets, such as MNIST, CIFAR, and ImageNet. In the final week, students will prepare and submit a written report describing their prototype enhancements, accuracy evaluation, and their experience with the research program. Students will present an oral presentation on their summer research in the final week.
     
    Number of Open Slots: 1
     
    Contact Information:
    Name: Taylor T. Johnson
    Title: Assistant Professor
    Department: Electrical Engineering and Computer Science
    Campus Address: ISIS 401D
    Mailing Address: 1025 16th Avenue South Room 401D
    Nashville, TN 37212
    United States
    Email: taylor.johnson@vanderbilt.edu
    Phone: (979) 251-6215

  • AI and Visual Thinking

    Primary Investigators:
    Maithilee Kunda
     
    Brief Description of Project:
    Our research lies at the intersection of AI and cognitive science. We study how humans think about the world in visual terms, and we design and conduct experiments with visual-thinking AI systems in order to better understand human cognition as well as to advance the capabilities of autonomous and interactive technology systems.

    Some of our current work includes (for example): 1) designing a new educational technology platform for teaching social skills to middle school students on the autism spectrum; 2) studying how neural networks can be modified to model early visual learning in infants; 3) developing new techniques for analyzing the types of visual information humans receive from the world, using wearable cameras and eye tracking; 4) investigating cognitive strategy differences on standardized intelligence tests, i.e., how different people might solve the same problem in very different ways; and 5) studying how scientists interpret and interact with data visualizations, initially looking at the domain of astronomy.

    For more information on specific projects, please visit our lab website: https://my.vanderbilt.edu/aivaslab/

    Desired Qualifications:
    We are seeking students with various types of experience, including computer science / engineering but also psychology / cognitive studies, education, astronomy, etc.
     
    Nature of Supervision:
    Students will work as part of project teams that includes postdocs, graduate students, and other undergraduates. There will be weekly small project meetings to plan specific tasks and provide updates, as well as weekly full lab meetings to discuss broader research topics, with one-on-one meetings scheduled as needed.
     
    A Brief Research Plan (period is for 10 weeks):
    Week 1: Introduction, getting acquainted with the project and team
    Weeks 2-5: Learning about and working on system design, data collection, etc.
    Weeks 6-9: Working on analysis and further investigations
    Week 10: Preparing a final report on the research results

    Number of Open Slots: 1
     
    Contact Information:
    Name: Maithilee Kunda
    Department: Electrical Engineering and Computer Science
    Email: mkunda@vanderbilt.edu

  • Segmentation of Clinically Acquired Medical Images

    Primary Investigator/s:
    Bennett Landman

    Brief Description of Project:

    The Human BioMolecular Atlas Program (HuBMAP) provides an opportunity to contextualize findings across cellular to organ systems levels. Constructing an atlas target is the primary endpoint for generalizing anatomical information across scales and populations. An initial target of HuBMAP is the kidney organ and arterial phase contrast-enhanced computed tomography (CT) provides distinctive appearance and anatomical context on the internal substructure of kidney organs such as renal context, medulla, and pelvicalyceal system. With the confounding effects of demographics and morphological characteristics of the kidney across large-scale imaging surveys, substantial variation is demonstrated with the internal substructure morphometry and the intensity contrast due to the variance of imaging protocols. Such variability increases the level of difficulty to localize the anatomical features of the kidney substructure in a well-defined spatial reference for clinical analysis. In order to stabilize the localization of kidney substructures in the context of this variability, we propose a high-resolution CT kidney substructure atlas template. This project will study deep learning preprocessing techniques to extract the volumetric interest of the abdominal regions and further perform a deep supervised registration pipeline to stably adapt the anatomical context of the kidney internal substructure.

    Desired Qualifications:
    Python
    Programming
    Experience with imaging

    Nature of Supervision:
    Summer internship (full time)

    A Brief Research Plan (period is for 10 weeks):
    2 weeks - project overview and plan development
    6 weeks - project implementation
    1 week - statistical evaluation
    1 week - project write-up

    Number of Slots: 2

    Contact Information
    Bennett Landman
    Department/s: Electrical & Computer Engineering
    Email: bennett.landman@vanderbilt.edu

  • Internship in Software Engineering for Medical Image Analysis

    Primary Investigators:
    Dr. Bennett Landman 

    Brief Description of Project:
    The overall objective of this project is to eliminate technical and societal translation impediments of rapid development, assessment, and deployment of AI models in medical imaging. The aims of this project are: 1) develop a collaborative model-centric AI platform with a novel technical backbone that reduces silos and barriers to translation by streamlining validation of AI models in medical imaging, and 2) build a community-driven ecosystem to establish AI trust and bridge the gap between AI developers, industry and healthcare providers. To address these fundamental challenges, convergent infrastructure is needed to streamline validation at each stage and allow for rapid development, assessment, and dissemination of model-centric AI tools. We invite motivating students with strong programming and systems engineering skills to help build the infrastructure for future large scale analysis systems.

    Desired Qualifications:
    Linux experience 
    Interest in cluster/cloud computing 
    Python programming

    Nature of Supervision:
    Weekly meetings. Collaboration with graduate students.

    A Brief Research Plan (period is for 10 weeks):
    2 weeks - project overview and plan development
    6 weeks - project implementation
    1 week - statistical evaluation
    1 week - project write-up

    Positions Available: 2

    Contact Information:
    Name: Bennett Landman
    Department: Electrical and Computer Engineering
    email: bennett.landman@vanderbilt.edu

  • Understanding Human Error in Software Vulnerabilities

    Primary Investigators:
    Kevin Leach, Assistant Professor, Computer Science
     
    Brief Description of Project:

    Software defects lead to critical vulnerabilities that threaten disclosing sensitive information, disabling critical infrastructure, or risk human life and limb.  While many complex systems and techniques have been developed to automatically find certain classes of vulnerabilities automatically in software, little work has investigated the role the human developer plays in creating software defects.  This project focuses on understanding how and why human software developers mistakenly create software defects that lead to security vulnerabilities. 

    During this project, the student will develop an interface for collecting human subject data.  In particular, we will design experiments that measure which defects humans are more likely to overlook, and what analyses we can conduct on source code to make vulnerabilities more apparent.  The end result will be a suite of indicative software vulnerabilities as well as a web-based interface for collecting human subject data.  We will run a pilot study by the end of the study, which will directly contribute to a longer-term study suitable for publication.

    Desired Qualifications:
    Students who are studying computer science and/or psychology are preferred.  Sophomore standing or higher is preferred.  Students should be willing to learn Python and Bash scripting, as well as tools for understanding software vulnerabilities like Ghidra or Infer.
     
    Nature of Supervision:
    Prof. Kevin Leach will routinely meet with the student once per week, where we will discuss plans to execute tasks.  In particular, the first few weeks will establish a plan to building a human subject study, and the student will spend the summer executing on that plan with regular progress expected.
     
    A Brief Research Plan (period is for 10 weeks):
    Week 1 - Study software vulnerabilities and software engineering practices
    Weeks 2/3 - Develop indicative suite of vulnerabilities
    Week 4 - Analyze candidate vulnerabilities and taxonomize as appropriate
    Weeks 5/6 - Develop concrete research questions for quantifying human subject performance
    Week 7 - Incorporate vulnerabilities into a web-based interface
    Weeks 8/9 - Recruit pilot study participants, Analyze pilot study data and incorporate feedback into interface
    Week 10 - Write up documentation, a final summary, and a presentation of accomplishments
     
    Number of Open Slots: 2
     
    Contact Information:
    Name: Kevin Leach
    Department: Computer Science
    Email: kevin.leach@vanderbilt.edu

  • Explainable AI in Healthcare

    Primary Investigators:
    Meiyi Ma
     
    Brief Description of Project:
    Explainability is important when applying AI to healthcare. However, modern deep learning-based solutions for healthcare often do not explain the decision-making process sufficiently, making it difficult for patients and therapists to understand and trust the results. This project develops a monitoring, modeling, and interactive virtual physical therapist assistant (VPTA) to assess a patient’s HEP focusing on the quality of exercise with robust and explainable AI.

    Desired Qualifications:
    Previous knowledge in software development. AI and the Foundation of ML are recommended. Please let us know if you have other related experiences.

    Nature of Supervision:
    PI supervises the project, and students will closely work with a Ph.D. student and our research group. Additionally, there will be weekly group meetings and periodic one-to-one meetings with the graduate student as milestone checkpoints. Additional meetings and supervision might be needed in a timely manner.
     
    A Brief Research Plan (period is for 10 weeks):
    This is a 10-week project. We expect the students to get familiar with our projects in the first two weeks, including software applications and the simulation generation process. Weeks 3-7 will be spent developing environments and code to support the automatic simulation pipeline, providing functionality to the software, and presenting research discoveries along the way.  The last three weeks will be spent refining and improving the robustness of the code as well as summarizing the work.
     
    Number of Open Slots: 2
     
    Contact Information:
    Name: Meiyi Ma
    Department: Computer Science
    Email: meiyi.ma@vanderbilt.edu

  • Heterogeneous Simulation Integration for Analyzing Critical Infrastructures

    Primary Investigators:
    Himanshu Neema
     
    Brief Description of Project:
    This project is about enabling simulation-based evaluation of large-scale systems. These systems (e.g., critical infrastructures such as the transportation networks, electricity networks, or the water distribution networks, or even large command-and-control organizations such as in the military or the air-force) have many different subsystems, which themselves are quite complex. Thus, each of these subsystems require their own specific simulation tools to model and analyze them. For evaluating the large systems (or as we call them 'system-of-systems'), evaluating their different parts in isolation is not sufficient. What is really needed is to integrate different simulators in a logically and temporally coherent manner so that they work together and provide us with the mechanisms to evaluate these large systems as a whole. In this project, in the last many years, we have developed a model-based framework that allows to model these large systems-of-systems and its code-generation tools automatically synthesize the integrated system-of-systems simulations. When executed, the integrated simulations all run concurrently, are time synchronized, and exchange data corresponding to their system-level interdependence. These different simulators are highly heterogeneous in nature as they use different modeling languages, represent different real-world systems, have different models of computation, and are written in different programming languages. Hence, wiring them together in a consistent manner is extremely challenging. The project involves heavy use of meta-modeling, automated simulation configuration, web-programming using NodeJS, JavaScript, and REST APIs, and general programming using Java, C++, and Python.

    Desired Qualifications:
    Selection in this project will be competitive and familiarity with full-stack development, Java, C++, Python, and simulation tools are desired for successful internship.
     
    Nature of Supervision:
    1-2 weekly meetings; Assigned tasks; Regular presentation required on research work.
     
    A Brief Research Plan (period is for 10 weeks):
    Weeks 1-2: Familiarization with project, setup of frameworks and tools, literature review.
    Weeks 3-4: Task assignment in simulation; cybersecurity; model-based engineering; or machine learning; Develop methods, algorithms, approaches to solve research problems; Prepare a plan for successful completion of assigned tasks.
    Weeks: 5-8: Working on completing assigned research tasks; Team discussions to collaborate; One-on-one sessions with Principal Investigators for debugging, troubleshooting; Weekly presentations on ongoing research work; Managed success through task completion; Planning to publish research work.
    Weeks 9-10: Documentation (source-code, tool, architecture, APIs, etc.); Final report; Final presentation; Potential academic paper publication.
     
    Number of Open Slots: 3
     
    Contact Information:
    Name: Himanshu Neema
    Department: Computer Science
    Email: himanshu.neema@vanderbilt.edu

  • Scalable Reactive Micro-Services

    Primary Investigators:
    Doug Schmidt
    Jules White
    Dana Zhang
     
    Brief Description of Project:
    This project focuses on techniques, patterns, and tools for reactive micro-services that run scalably on multi-core processors in cloud computing platforms using machine learning models and tools.  In particular, this project will combine the functional features supported by modern Java reactive streams frameworks (such as Project Reactor and Spring WebFlux) and reactive micro-services that host machine learning models that provide personalized recommendations to end-users.  This project will explore how to apply and test these reactive micro-service models that run multiple asynchronous operations concurrently in pools of threads across nodes in computing clouds, process their results concurrently, and provide useful information to clients.

    Desired Qualifications:
    This project focuses on techniques, patterns, and tools for reactive micro-services that run scalably on multi-core processors in cloud computing platforms using machine learning models and tools.  In particular, this project will combine the functional features supported by modern Java reactive streams frameworks (such as Project Reactor and Spring WebFlux) and reactive micro-services that host machine learning models that provide personalized recommendations to end-users.  This project will explore how to apply and test these reactive micro-service models that run multiple asynchronous operations concurrently in pools of threads across nodes in computing clouds, process their results concurrently, and provide useful information to clients.
     
    Nature of Supervision:
    Student(s) will work with the faculty mentor and other team members on the project. They will participate in the weekly meetings.
     
    A Brief Research Plan (period is for 10 weeks):
    Weeks 1-2: Student will learn about the reactive micro-service technologies in general and reactive streams platforms such as Project Reactor and Spring WebFlux.
    Weeks 3-4: Student will learn about machine learning platforms, such as BERT and TensorFlow.
    Weeks 5-6: Student will complete an initial implementation of an intelligent reactive micro-service app, which will be decided based on the interest of the student and discussion with the faculty mentor. 
    Weeks 7-8- Student will finalize the application implementation and particulate in writing  white-box and black-box unit tests using advanced testing frameworks such as Mockito and MockK.
    Week 9-10- Student will finalize their app and write up a short report of their results.
     
    Number of Open Slots: 2
     
    Contact Information:
    Name: Douglas C. Schmidt
    Department: Computer Science
    Email: d.schmidt@vanderbilt.edu

  • Kidney Reconstruction From Endoscope Videos

    Primary Investigators:
    Jie Ying Wu
     
    Brief Description of Project:
    Kidney stone surgery is difficult as clinicians need to map 3D structures from CT scans to the intraoperative visualization they have from the endoscope video. This results in high reoperation rates (up to 30% of patients need another surgery within 6 months following the initial surgery). We aim to make this process easier by localizing endoscope videos within the 3D structure and showing clinicians where they are in relation to stones. Students will look at using structure from motion to reconstruct a kidney from endoscope videos. This is made challenging by numerous artifacts in the video from the fluids and deformations of the kidney. Students will look at filtering techniques to reduce the noise.

    Desired Qualifications:
    Have taken a computer vision or deep learning course. Has a passion for improving health technologies and surgical outcomes.
     
    Nature of Supervision:
    The students will meet with the PI once a week and more often with the graduate student leading the project.
     
    A Brief Research Plan (period is for 10 weeks):
    In the first two weeks, the student will get an introduction to the project and the existing pipeline to run the structure-from-motion code. They will develop an understanding of the challenges in using existing structure-from-motion algorithms on the endoscope images. They will then spend six weeks researching and implementing different pre-processing pipelines and evaluate whether they improve the result from structure from motion. In the last two weeks, the student will compare the different preprocessing pipelines and work to integrate the most promising one into the existing structure-from-motion method. They will also document their findings and prepare the poster for the presentation.
     
    Number of Open Slots: 1
     
    Contact Information:
    Name: Jie Ying Wu
    Department: Computer Science
    Email: jieying.wu@vanderbilt.edu

  • Interoperable Sharing of Healthcare Data Using Distributed Ledger Technologies

    Primary Investigators:
    Dana Zhang
     
    Brief Description of Project:
    Patient identity matching is a process that locates a patient in a healthcare database using a unique set of personal information. Rare diseases are conditions that affect fewer than 200,000 people in the US, and due to the small patient populations, they receive significantly less scientific and commercial attention compared to more commonly studied medical conditions. As a result, highly motivated and active patient communities often form around rare diseases, creating and maintaining patient registries for patients to share data and knowledge about their conditions to promote disease discovery. However, many registries have been one-off solutions that identify patients in disparate ways, creating a major barrier to linking patients across multiple highly centralized registries. The main objective of this project is to address this need by developing an interoperable and efficient identity system using distributed ledger technologies to support necessary communications around rare diseases.

    Desired Qualifications:
    CS/CmpE/EE majors with strong interest in blockchain/distributed ledger technologies and concepts and knowledge of a programming language such as Java/Python. Experience with Git/GitHub, cloud technologies is a plus.
     
    Nature of Supervision:
    The undergraduate researcher will work closely with the PI and other undergraduate researchers. The intern will be given weekly tasks and report on them during the project meetings.
     
    A Brief Research Plan (period is for 10 weeks):
    Week 1: Background research and overview of software packages used
    Week 2-4: Learning relevant tools and standards used in the project
    Week 5-9: Development of a prototypical framework and a decentralized web/mobile app
    Week10: Project report and poster presentation preparation. The researcher will also deliver an oral presentation on their research work.
     
    Number of Open Slots: 2
     
    Contact Information:
    Name: Dana Zhang
    Department: Computer Science
    Email: peng.zhang@vanderbilt.edu

Electrical and Computer Engineering Projects

  • Radiation Effects in Microelectronics

    Primary Investigators:
    Michael Alles and the team at the VU Institute for Space and Defense Electronics (ISDE)
     
    Brief Description of Project:
    ISDE leads a government-funded workforce development program in the area of Radiation-Hardened Microelectronics.  The goal of this summer project wil be to introduce the student to the technical area, or to build on and advance their existing experience.  Specific technical details of the research project wil be tailored to the student's experience and direction of intrerest. The student will be paired with one or more mentors for technical guidance and support.  The student will paritipate in weekly SCALE programming during the 10 week period.

    Desired Qualifications:
    Undergrad in STEM field with a preference for EE. US Citizen.
     
    Nature of Supervision:
    Professor Alles will serve as the primary supervisor. The student will be paired with one or more additional mentors (may include other students/grad students, faculty, and straff, depending on the specific project.
     
    A Brief Research Plan (period is for 10 weeks):
    The student will interact with the SCALE student cohort and participate in weekly programming (multi-university, hybrid-virtual).  A project suitable for the student's specific experience and interestst will be defined and one or more mentors assigned for technical support. The workforce development mission allows for wide technical latitude for the speficfic projects, allowing us to define a project that has synergy with our exisitng funded research programs.

    Number of Open Slots: 1
     
    Contact Information:
    Name: Michael Alles
    Department: Electrical and Computer Engineering
    Email: mike.alles@vanderbilt.edu

  • Circuit Simulation of Radiation Effects on CMOS designs

    Simulation and testing for radiation effects at advanced technology nodes

    Primary Investigators:
    Bharat Bhuva
     
    Brief Description of Project:
    Our main research thrust is in the area of soft-error immune circuit design and single-event related simulations. The Student will need to design circuits that are immune to the single-event transient pulses generated when a heavy-ion traverses through an electronic transistor. The students must have excellent knowledge of digital  design and must be familiar with single-event effects. This project is aimed towards combinational logic and latch designs. Students will need to understand a little bit of CMOS layout and should be somewhat familiar with circuit simulations. Students will be required to carry out circuit-level simulations using Cadence tool suite.

    Desired Qualification:
    Junior/senior standing with digital circuit design and analysis experience.  Familiarity with CMOS layout is desired.  Strong self motivation, and the ability to work both independently and as part of a team are essential.

    Nature of Supervision:
    The student will interact with VU microelectronic circuits faculty and ISDE engineers in the analysis of radiation effects in advanced circuit designs.  The student will be assigned an RER graduate student as a day-to-day mentor.  Student will attend weekly technical research meetings with faculty, staff, graduate students, and other summer interns.

    A Brief Research Plan (period is for 10 weeks):
    Work with ISDE circuits faculty and engineers on a 10-week analysis project.  Present results at weekly group meetings.

    Number of Slots: 2

    Contact Information:
    Bharat Bhuva
    Professor
    (615) 343-3184
    Bharat.bhuva@vanderbilt.edu

  • Sources of fMRI Signal Fluctuations

    Primary Investigators:
    Catie Chang
     
    Brief Description of Project:
    Functional magnetic resonance imaging (fMRI) is a widely used technology for studying human brain activity in health and disease. Yet, fMRI provides an indirect measure of neural activity, and fMRI signals also reflect blood-flow changes associated with physiological processes such as breathing and cardiac activity. This project uses signal processing methods to characterize specific neural and physiological contributions to fMRI data, and to relate these variables to cognitive and clinical measures.

    Desired Qualifications:
    Programming experience (preferably Matlab or Python), and a strong interest in brain imaging data.
     
    Nature of Supervision:
    The student will work closely with the PI, with assistance from graduate students and postdocs in the lab.
     
    A Brief Research Plan (period is for 10 weeks):
    The first couple of weeks will involve becoming familiar with fMRI and learning relevant data analysis techniques. The remainder of the program will focus on analyzing neuroimaging and physiological signals, and preparing a final report and poster.
     
    Number of Open Slots: 2
     
    Contact Information:
    Name: Catie Chang
    Department: Electrical Engineering and Computer Science
    Email: catie.chang@vanderbilt.edu

  • Contacts Testing

    Primary Investigators:
    Mona Ebrish
     
    Brief Description of Project:
    The student will work at both the clean room at VINSE and at my lab. They will fabricate contacts on different semiconductor materials using 3 steps fabrication process and then measure the contact resistance using current versus voltage measurements. They will gain knowledge on material science, fabrication processes and testing.

    Desired Qualifications:
    Semiconductor physics basics 
    Some clean room experience will be desired but not required
    Some coding skills
    Electrical testing skills.
     
    Nature of Supervision:
    I go through the basic steps and facilitate the training at VINSE if needed. My graduate student will be working closely with the summer student/s
     
    A Brief Research Plan (period is for 10 weeks):
    In the first couple of week we will focus on training and getting the student familiarized with the equipment in the lab. 
    Between the 3rd and 7th week we will conduct several experiments and splits to measure.

    At the last couple of weeks we will work on summarizing the results and preparing a presentation to the group with our finding and I will gouge if the findings are worthy of peer reviewed publication.
     
    Number of Open Slots: 2
     
    Contact Information:
    Name: Mona Ebrish
    Department: Electrical and Computer Engineering
    Email: mona.ebrish@vanderbilt.edu

  • Harmonization of Diffusion Weighted MRI

    Primary Investigator/s:
    Bennett Landman

    Brief Description of Project:
    Alzheimer’s Disease and related dementia are a growing public health crisis affecting 5.8 million Americans, yet there are only four FDA-approved medications for Alzheimer’s Disease, none of which are disease-modifying. Hence, early detection and diagnosis are key to successful patient management and biomarkers are needed for evaluating new therapies in clinical trials. White matter changes are increasingly implicated in early Alzheimer’s Disease progression, and diffusion weighted magnetic resonance imaging (DW-MRI) has been included in many national-scale studies. Yet, quantitative investigation of DW-MRI data is hindered by a lack of consistency due to variation in acquisition protocols, sites, and scanners. DW-MRI enables quantification of brain microstructure and facilitates structural connectivity mapping. Substantial recent progress has been made with calibration and harmonization to reduce inter-subject variance and improve interpretability of computed measures. Yet, the fundamental challenge remains that clinical application of DW-MRI (as currently implemented) is confounded by inter-scanner and inter-site effects.

    To improve understanding of structural changes in Alzheimer’s Disease, we will construct and evaluate three separate analysis strategies to characterize, calibrate, and optimize DW-MRI for single-subject biomarker development for Alzheimer’s Disease. We will integrate and optimize our strategies using large retrospective multi-site studies and validate the approaches on two distinct prospective cohorts. 

    Specifically, we aim to: 
    Aim 1: Optimize data-driven techniques for stability across sessions, scanners/sites, and field strengths Impact: Harmonized DW-MRI methods will increase sensitivity to Alzheimer’s Disease and its prodromal stages. 
    Aim 2: Translate innovations in microstructural harmonization to structural connectivity (tractography)
    Impact: Harmonizing structural connectivity will improve understanding of white matter in Alzheimer’s Disease.
    Aim 3: Advance statistical tools for single-subject inference through normative database construction 
    Impact: Data-driven resources for uncertainty estimation will enable robust single-single subject inference. 
    Relevance and Impact on Healthcare: The proposed research will advance understanding of Alzheimer’s Disease through (1) quantitative harmonization of DW-MRI biomarkers, (2) protocols for harmonization of retrospective and prospective DW-MRI studies, and (3) new tools for single subject inference targeting older cohorts. We will organize workshops/challenges to maximize the translational impact on clinical science. The long-term goal of our research is to (1) provide a well-validated strategy to quantitatively evaluate DW-MRI data across sites, (2) enhance DW-MRI biomarkers for Alzheimer’s Disease, and (3) advance patient care. Our research strategy will transform the manner in which DW-MRI data are interpreted and enable single-subject machine learning to interpret brain properties. The resources, software, and visualization tools will be made freely available in open source through DIPY to facilitate continued innovation.

    Desired Qualifications:
    MRI, neuroscience OR 3-D imaging experience 
    Interest in quantitative imaging
    Python programming

    Nature of Supervision:
    Weekly meetings. Collaboration with graduate students.

    A Brief Research Plan (period is for 10 weeks):
    2 weeks - project overview and plan development
    6 weeks - project implementation
    1 week - statistical evaluation
    1 week - project write-up

    Number of Slots: 2

    Contact Information
    Bennett Landman
    Electrical & Computer Engineering
    Email: bennett.landman@vanderbilt.edu

  • Radiation Hardness Assurance for Spacecraft Electronics

    Primary Investigators:
    Brian Sierawski
     
    Brief Description of Project:
    Student will support NASA models and software tools for microelectronics radiation hardness assurance. Electronics used in space systems must be robust in order to reliably operate in the natural space environment. In particular, ionizing radiation degrades and disrupts microelectronics. Commercial electronics are especially at risk but are desirable for their size, power, and cost reductions. Assessments of on-orbit failures are made from ground-based tests and simulations. This project will support the development of hardware systems for radiation effects assessment. The thrust of this summer project is to involve the student in graduate research and introduce the student to radiation hardness assurance activities.

    Desired Qualifications:
    EECS students with programming experience
     
    Nature of Supervision:
    The student will interact with VU faculty (Sierawski, Reed) and ISDE engineers. Student will attend weekly technical research meetings with faculty and graduate students.
     
    A Brief Research Plan (period is for 10 weeks):
    1. Become familiar with radiation effects and the space environment
    2. Learn how to model radiation effects
    3. Assist with the analysis or development of models
    4. Perform tests and document efforts

    Number of Open Slots: 1
     
    Contact Information:
    Name: Brian Sierawski
    Title: Research Assistant Professor
    Department: EECS
    Email: brian.sierawski@vanderbilt.edu

  • Nanoscal Silicon Photonics for Datacom or Biosensing

    Primary Investigator/s:
    Sharon Weiss

    Brief Description of Project:

    This project will be tailored to best meet the interests of the student and Professor Weiss' research group. Silicon is the primary material that underlies modern electronics but the photonic capabilities of silicon for applications in datacom and medicine have not been fully explored. Two possible opportunities exist for this project:

    (1) Silicon photonic modulators. This research is motivation by the desire to increase data transfer speeds using less power by employing light to carry information instead of electrons. The goal of this research is to examine through simulation and measurement silicon photonic crystals and/or ring resonators with tailored light-matter interaction that have the potential to control the flow of light for future datacom applications.

    (2) Silicon-based biosensors. This research is motivated by the need to detect small amounts of material for medical diagnostics, food safety, and homeland security. In this project, nanoscale silicon-based optical structures - with potential integration into smartphones - will be investigated as elements in sensor arrays for the detection of biomolecules in complex media. Machine learning algorithms will be explored to guide the biosensor design and analyze experimental sensing data.

    Desired Qualifications:
    Highly motivated students interested in an interdisciplinary research experience

    Nature of Supervision:
    Work with Professor Weiss and her research group

    A Brief Research Plan (period is for 10 weeks):
    Lab safety training and learning necessary background for project
    Training on experimental and computational methods necessary for the project
    Fabrication, measurements, and analysis
    Written summary of results and poster preparation

    Number of Slots: 1

    Contact Information
    Sharon Weiss
    Electrical and Computer Engineering
    Email: sharon.weiss@vanderbilt.edu

  • Development of High-density Coils for Lumbar Spinal Cord Imaging in 7 Tesla MRI

    Primary Investigators:
    Xinqiang Yan
     
    Brief Description of Project:
    Spinal cord functional magnetic resonance imaging (MRI) has recently been shown to also be a powerful tool to study motor and sensory/pain pathways in the healthy spinal cord and to understand the changes in patients, e.g., with spinal cord injury and multiple sclerosis. Recently, it was demonstrated that low-frequency blood oxygenation level-dependent (BOLD) fluctuations are inherent in the spinal cord as well as the brain, which may offer insight into the execution and maintenance of sensory and motor functions both locally and within the cerebrum. The 7T tesla ultrahigh field scanner is the most powerful and state-of-art imaging tool in MRI, providing much higher spatial resolution, contrast, and signal-to-noise ratio. however, MRI of the spine at 7T is hampered by a lack of radio-frequency (RF) receive coils and a body transmit coil. In this project, the student will work closely with the PIs to develop the transmit, receive and B0 shimming coil for 7T lumbar spinal cord imaging.

    Desired Qualifications:
    Some knowledge of radiofrequency circuit. Interested in medical imaging such as magnetic resonance imaging or circuit design. Strong motivation for academic research and scientific publication.
     
    Nature of Supervision:
    Working closely with the PI and graduate students. Weekly individual meetings and group meetings.
     
    A Brief Research Plan (period is for 10 weeks):
    2 weeks - project overview and plan development
    7 weeks - project implementation
    1 week - project write-up and presentation
     
    Number of Open Slots: 1
     
    Contact Information:
    Name: Xinqiang Yan
    Department: Electrical and Computer Engineering
    Email: xinqiang.yan@vanderbilt.edu

  • DC Shim Coil for 3T Prostate MRI in Patients With Metallic Hip Prostheses

    Primary Investigators:
    Xinqiang Yan
     
    Brief Description of Project:
    Prostate cancer is one of the most frequently diagnosed cancers and a leading cause of cancer deaths in men. In the United States, prostate cancer accounted for more than 32,000 deaths in 2020, which amounted to almost 5% of all cancer deaths. MRI is a frontline tool for the assessment of prostate cancer and has been shown to add significant value to clinical biomarkers such as the prostate-specific antigen (PSA). At the same time, hip arthroplasty (HA) is one of the most commonly performed procedures in the aging population. Approximately 3% of the older adult population in the United States will undergo HA. Hip prostheses are commonly made of a Cobalt-Chromium head and a Titanium stem that have high magnetic susceptibilities.

    Desired Qualifications:
    Some knowledge of circuits. Interested in medical imaging such as magnetic resonance imaging or circuit design. Strong motivation for academic research and scientific publication.
     
    Nature of Supervision:
    Working closely with the PI and another professor Saikat Sengupta (Co-PI). Weekly individual meetings.
     
    A Brief Research Plan (period is for 10 weeks):
    1 week - project overview and plan development
    8 weeks - project implementation
    1 week - project write-up and presentation
     
    Number of Open Slots: 1
     
    Contact Information:
    Name: Xinqiang Yan
    Department: Electrical and Computer Engineering
    Email: xinqiang.yan@vanderbilt.edu

  • Wearable Antenna for MRI

    Primary Investigators:
    Xinqiang Yan
     
    Brief Description of Project:
    This project is to develop flexible, lightweight, wearable, and stretchable radiofrequency (RF) antenna arrays for 7T in extremity magnetic resonance imaging (MRI), such as thigh and leg. Wearable antennas improve patient comfort and can be formed into desired shapes to match the human anatomy of interest. Therefore, compared to conventional rigid designs, they exhibit improved filling factors and signal-to-noise ratios. The first aim of this project is to build near-field wearable antennas made of loop resonators and dipoles, and miniature and flexible balance-to-unbalance (balun) circuits. The second aim of this project is the test the coil on the workbench and on the state-of-art 7T whole-body MRI scanner located at Vanderbilt University Institute of Imaging Science (VUIIS).

    Desired Qualifications:
    Some knowledge of circuits. Interested in medical imaging such as magnetic resonance imaging or circuit design. Strong motivation for academic research and scientific publication.
     
    Nature of Supervision:
    Working closely with the PI, graduate students, and other neuroimaging scientists. Weekly individual meetings.
     
    A Brief Research Plan (period is for 10 weeks):
    2 weeks - project overview and plan development
    7 weeks - project implementation
    1 weeks - project write-up and presentation
     
    Number of Open Slots: 1
     
    Contact Information:
    Name: Xinqiang Yan
    Department: Electrical and Computer Engineering
    Email: xinqiang.yan@vanderbilt.edu

  • Radiation Effects and Reliability Study on GaN HEMTs

    Primary Investigators:
    Ron Schrimpf
    Dan Fleetwood
    Enxia Zhang
     
    Brief Description of Project:
    This work explores DD and TID radiation effects combination of electrical stress induced reliability and failures in state of art GaN HEMTs. The project requires skills and experiments with characterizing equipment and data analysis to study defects generation in these devices during application

    Desired Qualifications:
    VU students in ECE department with skills of semiconductor parameter analyzers and power sources, spectrum analyzers, as well as basic data plotting and programing skills.
    basic EE skills and easy communication.
     
    Nature of Supervision:
    The hired undergraduate student will be trained with hands on skills of semiconductor device characterizing, data analysis, low frequency noise with circuit setup skills.

    Enxia Zhang and graduate students in RER group will work closely with the undergraduate student till he/she can work independently on the study, which will benefit both the school, student and our program.
     
    A Brief Research Plan (period is for 10 weeks):
    Week 1, training characterizations of semiconductor devices, including B1505A, LFN setup
    Week2~3, temperature dependence reliability measurements to study basic reliability on the new GaN HEMTs from our collaborators (Qorvo, Cree, ect.)
    Week4~5 data analysis and prepare for TID, and irradiate the devices with different electrical conditions to meet the application requirement
    Week 6-7: TID analysis and LFN measurement to study defects generated during the combination of electrical stress and irradiation that possibly affect the reliability issues for GaN HEMTs application in harsh environment.
    week 8-9: proton irradiation and data analysis along with LFN and temperature dependence study.
    Week 10: wrap up with report and a potential Journal paper if possible.
     
    Number of Open Slots: 1
     
    Contact Information:
    Name: Enxia Zhang
    Department: Electrical and Computer Engineering
    Email: enxia.zhang@vanderbilt.edu

Mechanical Projects

  • Lubricant Health Monitoring

    Primary Investigators:
    Amrutur Anilkumar
     
    Brief Description of Project:
    The student will be conducting research on Engine Health Monitoring using two laboratory experiment facilities. He will be instrumenting a Diesel Engine Test Facility to study the lubricant characteristics. He will also be running parallel experiments on a Bench Top Oil Quality Test facility, which will be used for calibration of the Oil Quality, and lubricant physical property, measuring Instrumentation. Different engine oils, both fresh and degraded through long term use in car engines, will be used for this purpose. The outcome of the experimental studies will be both fundamental thermo-fluid science studies in lubricant flow calibration, and the development of neural network models for for autonomous monitoring of oil quality.

    Desired Qualifications:
    ME Senior Standing

    Nature of Supervision:
    Working with a Graduate Student and assisting him, and learning to operate the facility, collect and analyze data
     
    A Brief Research Plan (period is for 10 weeks):
    (1) Week 1 - Literature survey, Lab training, Safety Training
    (2) Week 2-6 – Benchtop Facility operation, Data Acquisition, and Analysis
    (3) Week 7-10 – Engine Implementation & Testing
     
    Number of Open Slots: 2
     
    Contact Information:
    Name: Amrutur Anilkumar
    Department: Mechanical Engineering
    Email: amrutur.v.anilkumar@vanderbilt.edu

  • Soft Robotics

    Primary Investigators:
    Eric J. Barth
     
    Brief Description of Project:
    Soft robots hold the promise of interacting with humans and delicate structures in ways that traditional rigid robots fall short. This project has several avenues of possible research exploration. Experimental platforms include both micro 3D printed surgical soft robots for accurate movements, or larger bio-inspired soft robots with quick dynamic motions. There is also an opportunity to control micro-hydraulic pumps to provide the time-varying pressures to the soft actuators. An exploration of 3D printing techniques is also possible. The student will determine the area that they are most passionate about to contribute. 

    General description of the NSF funding that supports this research: This project will create improved methods of dynamic modeling for highly deformable structures. It will show how miniature hydraulic systems can be customized for power transmission in challenging soft robotic applications, and how textiles and elastic rubbers can be combined to manufacture novel fluid-powered soft actuators. It will demonstrate the use of embedded fiber optic sensors to measure soft robot shape. These advances will be integrated into a design framework for a new class of soft robots that can safely work with and around people, and that can reconfigure themselves to adapt to a changing environment. This project will be a significant advance towards realizing the transformative potential of soft robots in healthcare, manufacturing, agriculture, exploration, environmental monitoring, and national security. Two experimental testbeds representing the diversity of applications will validate the results of the project -- a soft tentacle-like robot will perform simulated orthopedic surgery and a soft eel-like robot will demonstrate swimming and climbing for navigating and exploring challenging environments.

    Desired Qualifications:
    Knowledge of system dynamics.
    An interest in robotics and controls.
    Optional interest in mechanical design and 3D printing.
    Optional interest in minimally invasive surgery.
    Optional interest in fluid power and miniature hydraulic pumps. 
    Optional interest in Lagrangian mechanics.
     
    Nature of Supervision:
    You will work with a graduate student on a daily basis and have weekly meetings with the faculty member.
     
    A Brief Research Plan (period is for 10 weeks):
    1 Survey current projects being conducted in the lab and determine which you want to work on.
    2 Conduct literature review of current knowledge.
    3 Work with graduate student to define research goals.
    4-9 Conduct research
    10 Report (options also may include participation in a conference paper or journal paper).
     
    Number of Open Slots: 1
     
    Contact Information:
    Name: Eric J. Barth
    Department: Mechanical Engineering
    Email: eric.j.barth@vanderbilt.edu

  • Fabrication of Endothelialized Capillary-Like Channel Networks in Cell-Laden Hydrogels Using Sacrificial Microfibers

    Primary Investigators:
    Leon Bellan
     
    Brief Description of Project:
    Using sacrificial fibrous networks formed using a cotton candy machine, we form 3D microfluidic networks in biocompatible hydrogels. These microfluidic networks will be lined with endothelial cells and serve as artificial capillary beds that can provide nutrients to thick artificial tissues.

    Desired Qualifications: 
    We are looking for highly motivated undergraduate researchers who would like hands-on experience working with soft biomaterials.

    In particular, prospective students should should have:
    -Interest in interdisciplinary engineering and science
    -Interest in hands on experimental work
    -Good time management
    -Experience with data analysis (ie Matlab)
    -Interest in learning cell characterization techniques/microscopy/non-traditional microfabrication 

    Nature of Supervision:
    Student will work directly with a graduate student and be mentored by Prof. Leon Bellan and the graduate student
     
    A Brief Research Plan (period is for 10 weeks):
    (1) Week 1 - Literature survey, Lab training, Safety Training
    (2) Week 1-5 – Microfiber spinning, microfluidic hydrogel fabrication 
    (3) Week 5-10 – Fluorescence widefield and confocal microscopy, cell culture and characterization 

    Number of Open Slots: 2
     
    Contact Information:
    Name: Leon Bellan
    Department: Mechanical Engineering
    Email: Leon.Bellan@vanderbilt.edu

  • Cooling-Triggered Release of Therapeutics for Local Pain Management

    Primary Investigators:
    Leon Bellan
     
    Brief Description of Project:
    We are developing an approach to enable cooling-triggered release of therapeutic molecules from macroscopic polymeric implants.  When the implant is at body temperature, it stays gelled and the payload molecule (drug to be delivered) stays sequestered in the polymeric matrix.  When local cooling is applied (i.e. ice on the skin), the thermoresponsive polymer liquefies and allows the payload to be released into the surrounding area.  Initial prototyping will involve the release of model drugs such as fluorescent molecules, after which formulations containing anesthetics for local pain management will be investigated.

    Desired Qualifications: 

    We are looking for highly motivated undergraduate researchers who would like hands-on experience working with soft biomaterials.

    In particular, prospective students should should have:
    -Interest in interdisciplinary engineering and science
    -Interest in hands on experimental work
    -Good time management
    -Experience with data analysis (ie Matlab)
    -Interest in learning biomaterials patterning and drug release characterization techniques

    Nature of Supervision:
    Student will work directly with a graduate student and be mentored by Prof. Leon Bellan and the graduate student
     
    A Brief Research Plan (period is for 10 weeks):
    (1) Week 1 - Literature survey, Lab training, Safety Training
    (2) Week 1-5 – Thermoresponsive polymer drug delivery vehicle fabrication and model drug loading
    (3) Week 5-10 – Cooling-triggered drug release characterization

    Number of Open Slots: 2
     
    Contact Information:
    Name: Leon Bellan
    Department: Mechanical Engineering
    Email: Leon.Bellan@vanderbilt.edu

  • Design and Control of Wireless Miniature Soft Robots for Biomedical Application

    Primary Investigators:
    Xiaoguang Dong
     
    Brief Description of Project:
    Small-scale robots with an overall size less than one centimeter that can be wirelessly actuated, monitored and controlled, could revolutionize minimally invasive medical operations by allowing access to enclosed small spaces inside the human body and performing medical operations such as drug delivery, onsite biofluid pumping and biopsy. Wirelessly powered small-scale robots using stimuli-responsive material and mechanisms which can be actuated by magnetic fields are especially promising, as magnetic fields can penetrate most nonmagnetic materials such as biological tissue and induce relatively large magnetic forces and torques on the robot body for remote and precise actuation. Despite recent advances in this field, critical challenges still exist in creating intelligent miniature robots that could navigate through complex confined fluid-filled environments and demonstrate practical medical functionalities. This project aims to develop wirelessly actuated shape-morphing material and mechanisms, and their enabled devices and robots for specific biomedical application. These robots or devices will be designed by developing fundamental mechanisms of generating complex, large, and reconfigurable shapes, with the guidance of computational models. They are fabricated with advanced micro-fabrication techniques and controlled to move to target locations using a desired locomotion in challenging environments, to further perform medical operations such as drug delivery, biopsy, biofluids pumping, and other functions. Project outcomes include a project report which could potentially be turned out to a manuscript to be submitted to a proper journal or a top robotic conference such as RSS, ICRA, etc.

    Desired Qualifications:
    We are interested in self-motivated, responsible and independent students, who are particularly interested in miniature robotics, soft robotics and medical robotics for the 2022 SUGRE program (VUSE Summer Undergraduate Research Experience program). The student should be comfortable with mechatronic systems, and ideally have experience related to control, mechatronics, flexible electronics or smart materials. Knowledge on Robot Operation Systems, NI Labview, Arduino, Matlab Python, and other software or programming languages are preferred. Previous experience on soft robots or flexible electronics is a plus. He/she should be prepared to learn new skills such as miniature soft robot fabrication, modeling and control which are needed to complete the project(s). For existing projects, please visit our website: https://xgdongcmu.github.io/research.html. You are welcome to contact Prof. Xiaoguang Dong for further discussion about your background via email.
     
    Nature of Supervision:
    You are expected to be self-motivated to constantly sustain progress on your project and incorporate feedback from Prof. Dong and the PhD students in the lab. You will work in a very collaborative environment with other undergraduate and graduate students. Weekly research summary reports to the Principal Investigator (PI) help the student to track their progress and get prompt feedback from the PI. Weekly group meetings are held with Prof. Dong and other members of the team. The group meeting includes presentations and discussions of ongoing research projects. You are expected to present your project progress as well as actively giving feedback to other students’ projects in the group meetings. For additional details on the undergraduate research experience and expectations please visit our lab website: https://xgdongcmu.github.io/opportunity.html
     
    A Brief Research Plan (period is for 10 weeks):

    Weeks 1: Read background literature, learn to use core equipment, software, and customized experimental setup in the lab
    Weeks 2-5: Perform experiments, simulation, and/or device instrumentation and control depending on the project tasks and progress
    Weeks 6-8: Perform characterization of robots/devices, and collect experimental and simulation data 
    Weeks 9-10: Analyze experimental and simulation results, and finalize/report findings 

    (More details on the project plan will be provided when contacting the PI)

    Number of Open Slots: 1
     
    Contact Information:
    Name: Xiaoguang Dong
    Department: Mechanical Engineering
    Email: xiaoguang.dong@vanderbilt.edu

  • Intelligent Human-Machine Interface for Teleoperating a Mobile Magnetic Actuation System

    Primary Investigators:
    Xiaoguang Dong
     
    Brief Description of Project:
    This project aims to develop an intelligent human-machine interface for teleoperating a mobile magnetic actuation system in Robot Operation System (ROS). The mobile robotic system consists of a 7-DOF robotic arm and a permanent magnet, which is controlled in ROS. A joystick is used to provide the human-machine interface together with a visualization software module. Project outcomes include a project report and a software module which could be used for controlling wireless miniature robots in a friendly manner.

    Desired Qualifications:
    The student should be comfortable with mechatronic systems and mechanical design (e.g. SolidWorks), and ideally have experience related to control and dynamics.

    Knowledge on Robot Operation Systems, NI LabView, Arduino, Matlab, Python, and other software or programming languages are NOT required but are a plus. 

    He/she should be prepared to learn new skills such as magnetic actuation, kinematics, dynamics, and control, which are needed to complete the project(s).

    Nature of Supervision:
    You are expected to be self-motivated to constantly sustain progress on your project and incorporate feedback from Prof. Dong and the PhD students in the lab. You will work in a very collaborative environment with other undergraduate and graduate students. Weekly research summary reports to the Principal Investigator (PI) help the student to track their progress and get prompt feedback from the PI. Weekly group meetings are held with Prof. Dong and other members of the team. The group meeting includes presentations and discussions of ongoing research projects. You are expected to present your project progress as well as actively giving feedback to other students’ projects in the group meetings. For additional details on the undergraduate research experience and expectations please visit our lab website: https://xgdongcmu.github.io/opportunity.html
     
    A Brief Research Plan (period is for 10 weeks):
    Weeks 1: Read background literature, learn to use core equipment, software, and customized experimental setup in the lab
    Weeks 2-5: Perform experiments, simulation, and/or device instrumentation and control depending on the project tasks and progress
    Weeks 6-8: Perform characterization of robots/devices, and collect experimental and simulation data 
    Weeks 9-10: Analyze experimental and simulation results, and finalize/report findings 

    (More details on the project plan will be provided when contacting the PI)

    Number of Open Slots: 1
     
    Contact Information:
    Name: Xiaoguang Dong
    Department: Mechanical Engineering
    Email: xiaoguang.dong@vanderbilt.edu

  • Mechanism Design and Build for Undergraduate Teaching

    Primary Investigators:
    Jason Mitchell
     
    Brief Description of Project:
    Design and build several example linkages for use in an undergraduate Machine Analysis and Design course. 

    Linkages will include straight line, quick return mechanisms. 2-Position and 3-Position synthesis problems. Coupler curve mechanisms.

    Document designs and put together some hands on labs.

    Desired Qualifications:
    Completed Machine Analysis and Design or Kinematics.
     
    Nature of Supervision:
    On site and weekly meetings. as needed.
     
    A Brief Research Plan (period is for 10 weeks):
    Weeks 1-3 Design mechanisms 
    Weeks 4-8 Build and test
    Weeks 9-10 Document.
     
    Number of Open Slots: 1
     
    Contact Information:
    Name: Jason Mitchell
    Department: Mechanical Engineering
    Email: jason.e.mitchell@vanderbilt.edu

  • Comparison Study of User Interfaces for Tele-operated Surgical Robot

    Primary Investigators:
    Dr. Robert Webster
     
    Brief Description of Project:
    The Vanderbilt Medical Engineering and Discovery Lab (MED Lab) is currently working on developing continuum robots to perform complicated minimally invasive surgeries. One aspect of this research is providing surgeons with a user interface (UI) to control the robot in an intuitive and natural manner. We have developed a novel touchpad-based UI with 3 DoF and have validated it against two other similar UIs. We plan on extending this project in a larger comparison study of a variety of UIs for surgical robots. This research project will involve the implementing of several UIs into our robotic system. These UIs will be compared to each other in virtual reality, where surgeon participants will complete a series of exercises with each. The project will involve setting up and running these experiments.

    Desired Qualifications:
    We are interested in motivated, curious, and resourceful individuals. It is preferred that the student be familiar with object-oriented programming (C++ preferably) and have experience with basic electronics (Arduino and breadboard). However, most importantly, they should be open to learning and hands-on work.
     
    Nature of Supervision:
    You will work with Dr. Webster and Jesse d'Almeida (PhD Student) along with several others on the project. General guidelines and assistance will be provided as it is a collaborative project but you are encouraged to make this project your own and improve it how you see fit.
     
    A Brief Research Plan (period is for 10 weeks):
    1) Become familiar with lab environment and background
    2-5) Implement UIs into the current robot environment
    5) Develop a plan to conduct user studies
    6-8) Conduct surgeon user studies
    9-10) Analyze the data from the studies
     
    Number of Open Slots: 1
     
    Contact Information:
    Name: Jesse d'Almeida
    Department: Mechanical Engineering
    Email: jesse.f.dalmeida@vanderbilt.edu

  • Machine Learning for Bleeding Detection with Surgical Robot

    Primary Investigators:
    Dr. Robert Webster
     
    Brief Description of Project:
    The Vanderbilt Medical Engineering and Discovery Lab (MED Lab) is currently working on developing continuum robots to perform complicated minimally invasive surgeries. One avenue of research being explored is the application of machine learning to autonomously detect and cauterize simulated bleeding tissue in prostate phantoms. This project involves a substantial amount of software development and data collection for training machine learning models, as well as hands-on phantom fabrication and interaction with physical robotic hardware.

    Desired Qualifications:
    We are looking for a motivated, curious, and creative student to assist with research this summer. The student should have some familiarity with MATLAB or Python, Solidworks, and basic electronics (Arduino and breadboard). The ideal candidate will be open to learning through a combination of software programming and hands-on work.
     
    Nature of Supervision:
    You will work with Dr. Webster and Jason Shrand (PhD Student) along with several others on the project. General guidelines and assistance will be provided since the project is highly collaborative, but you are encouraged to think creatively and implement your own ideas to further the research.
     
    A Brief Research Plan (period is for 10 weeks):
    1) Become familiar with lab environment and background
    2-4) Investigate machine learning models for surgical image processing
    4-6) Design procedures to collect training data with robot and prostate phantom
    6-8) Train and refine machine learning models
    8-10) Implement validation experiments on physical robot
     
    Number of Open Slots: 1
     
    Contact Information:
    Name: Jason Shrand
    Department: Mechanical Engineering
    Email: jason.a.shrand@vanderbilt.edu

  • Developing a Controller for a Selectively Stiffening Manipulator Designed for Minimally Invasive Lung Surgery

    Primary Investigators:
    Dr. Robert Webster
     
    Brief Description of Project:
    The Vanderbilt Medical Engineering and Discovery Lab (MED Lab) conducts research on novel continuum robots to perform complicated minimally invasive surgeries. This project is investigating new designs of cable-driven continuum robots, which consist of flexible mechanisms that are pulled into different shapes by cables that run the length of the manipulator. In this project we’re looking at novel ways of changing the stiffness of the continuum robot during its operation in order to change the force and motion capabilities of the device. The student would be involved in prototyping these devices and working on a closed-loop control system and user interface design with an existing hardware setup.

    Desired Qualifications:
    The student should be self-motivated and capable of identifying design opportunities, and developing engineering solutions using a variety of techniques. The student should have coding experience in C++ and Python, experience with Robot Operating System (ROS) is an asset. Mechanical prototyping experience (Solidworks, 3D printing, machining) is also desirable.
     
    Nature of Supervision:
    You will work with Dr. Webster and Daniel Esser (PhD Student) along with several others on the project. General guidelines and assistance will be provided as it is a collaborative project but you are encouraged to make this project your own and improve it how you see fit.
     
    A Brief Research Plan (period is for 10 weeks):
    1) Become familiar with lab environment and background
    2-3) Develop a design plan for the controller and user interface.
    4-7) Implement controller in ROS with input device
    8-10) Prototype robot designs and test with controller.
     
    Number of Open Slots: 1
     
    Contact Information:
    Name: Daniel Esser
    Department: Mechanical Engineering
    Email: daniel.s.esser@vanderbilt.edu

  • Biomechanics of Wearable & Assistive Technology

    Primary Investigators:
    Karl Zelik
     
    Brief Description of Project:
    Wearable sensing and assistive devices such as exoskeletons, prostheses, and smart clothing offer exciting potential to improve well-being for individuals with physical disabilities, and to augment healthy human performance. We are interested in how wearable technologies (both robotic and passive) can be optimally integrated with the human body to assist movement and how wearable sensor devices can better monitor musculoskeletal health. The summer student will contribute to multidisciplinary research project(s) at the intersection of human movement biomechanics and wearable or assistive technology to help advance our understanding of how to design and evaluate these devices.

    Desired Qualifications:
    We are interested in highly-motivated, curious, resourceful, and responsible individuals. The student should be comfortable with Matlab, and ideally have experience with robotics and/or biomechanics. The student should be prepared to learn new software packages and additional skills (e.g., related to signal processing or electronics) needed to complete the project(s).
     
    Nature of Supervision:
    Due to the open-ended nature of research it is very different than typical academic courses. You will not be told exactly what to do each day, but you are expected to be self-driven, sustain progress on your project and incorporate feedback from Prof. Zelik and the PhD students, postdocs and staff in the lab. You will be responsible for your own sub-project, but you will also work in a collaborative environment with other undergraduate and graduate students, and you will likely assist with other experiments in lab. You will participate in weekly lab meetings with Prof. Zelik and other members of the team. The purpose of lab meeting is to have an inclusive discussion about ongoing research and design projects, to share ideas, disseminate lab information, practice communication skills, cultivate critical thinking, practice team problem-solving and maximize the success of all projects by combining the diverse skills/experience of all lab members. You are not expected to have field-specific research knowledge when you enter the lab, but you are expected to be independent, resourceful, curious, and to learn what you need to know for your project. For additional details on the undergraduate research experience and expectations please visit our lab website: https://lab.vanderbilt.edu/zelik/joining/
     
    A Brief Research Plan (period is for 10 weeks):
    Example research plan (but may vary based on project stage):
    Weeks 1: Read background literature, learn about devices and measurement equipment 
    Weeks 2-5: Assist with experiments, and/or device instrumentation and control
    Weeks 5-7: Refine testing protocol, perform experimental data collections
    Weeks 7-10: Analyze results, finalize and report findings
     
    Number of Open Slots: 1
     
    Contact Information:
    Name: Karl Zelik
    Department: Mechanical Engineering
    Email: karl.zelik@vanderbilt.edu


Program FAQs

  • When does the application become available?

    The Summer 2025 application will open by early January 2025 with applications due by early February 2025.

  • How will I be paid?

    Students that successfully complete the program will receive support totalling $8,000.

  • Is there housing available and how much will it cost?

    On campus student housing is available in Summer 2024, participants will schedule their own housing.

    If choosing  on Campus housing ,  Vanderbilt students and non Vanderbilt students actively involved in a summer research or internship program may sign up for on campus housing using this link: Registration page. Housing details are available at this link: Summer Academic Intern Housing

    For Off-Campus housing, there is a referral website provided by the Office of Housing and Residential Education. Current Vanderbilt students can log-in with their VUnet id and password. Non-Vanderbilt students accepting participation in VUSE Summer Research can create a log-in for the site. The Off-campus site may list short-term/summer sublet housing.

  • What is the minimum GPA requirement?

    All applicants who have attained a GPA of 3.5 or above are strongly recommended.

  • I am from another University, am I eligible to apply?

    Yes

  • Are applications from international students allowed?

    Applications from international students currently studying at a university in the U.S. are accepted.

  • Am I required to be in the U.S. to participate?

    Yes, students participating in the VUSE Summer Research Program are required to be in the U.S.

  • Are participants allowed to take courses during the summer?

    No, this is an intensive research experience and we expect your full-time commitment to the program.

  • Is the program binding? Am I required to participate if I am selected for the program?

    Once an award offer has been made, the students are given a window of time to accept or decline. This time is meant to give students the opportunity to weigh all options that may be available to them for the summer. We don’t encourage students to accept an offer if there is a strong likelihood they are more interested in another opportunity that would result in them wanting to leave the Program.

  • What kind of research would I be involved in?

    This is an on-campus experience with many research opportunities. In the left-side navigation column is a list of departments and there you will find all of the projects and names of faculty members. This list will be updated for Summer 2025 by early January 2025.

  • Do you have to be an engineering major to apply?

    No, although many projects have core engineering foundations. Given the interdisciplinary nature of the research projects non-engineering students who might be a good match to a project are encouraged to apply.

  • What are the requirements for acceptance into the program?

    This match is handled through multiple stages where academic performance and faculty input is taken into consideration.

  • Will this be an opportunity to find real work at the graduate level at VUSE or elsewhere?

    Absolutely! A large percentage of students participating in the program have gone on to graduate school and many of those are here at VUSE. Building an important network of contacts and gaining valuable graduate level research experience are just a few perks of the program.

  • Can this work be applied to undergraduate/future graduate studies for credit?

    Students must be current undergraduates enrolled in a four-year college or university to participate. They must be sophomores, juniors, or non-graduating seniors to apply. First-year students are welcome to apply, but priority is given to students with more academic experience.

  • Can high school students, community college students, college graduates or graduate students participate?

    Students must be current undergraduates enrolled in a four-year college or university to participate. They must be sophomores, juniors, or non-graduating seniors to apply. Freshmen are welcome to apply, but priority is given to the upperclassmen.

  • How are program placements made?

    The online application allows you to select three research programs in which you are most interested. Placement in those programs are not guaranteed.

  • What summer projects are available?

    Our list of projects can be found above, listed by department, or in the left-side navigation menus.

  • How long will the program run?

    The program runs for 10 weeks from late May through early August and culminates in a poster session. Specific weeks/travel plans can be negotiated with your supervisor.

  • Are students without previous research experience eligible?

    Yes!

Contact Us

Summer Research Coordinator
If you have questions about the program please contact vuse.summer.research@vanderbilt.edu.