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Infrastructure for Computing the Biome

Primary Investigators:
Janos Sztipanovits
Yogesh Barve
Brief Description of Project:

This summer research work is linked to the Computing the Biome project ( 
funded by NSF - Convergence Accelerator Program.  The Computing the Biome team is creating a data and AI platform for monitoring and predicting biothreats in a major U.S. city, and to 
drive economic sustainability by empowering businesses and advanced science 
missions to deliver valuable consumer apps and breakthroughs.

The focus of this summer research work will be to support the development of 
a software framework to facilitate the execution, testing,  validation, and 
visualization of simulation and AI/ML computational workflows on cloud computing platform. 
The student will work closely with a Research Scientist and undergraduate students 
working on this project to create modular and reusable software modules to manage, deploy and execute scientific workflows running on cloud computing platforms.

Desired Qualifications:
Sufficient programming experience, e.g., should have taken the course CS 3251 - Intermediate Software Design. CS/CmpE/EE background with familiarity with concepts and techniques of 
software design. Knowledge of the Java/Python/C++/Kotlin 
languages is a desired, as well as experience with Git, Docker, and Cloud technologies preferred.
Nature of Supervision:
The intern will work under the supervision of a researcher. 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: Getting familiarity with the project tools and softwares used.
Week 2-4: Learning about the specific tools used and being developed on the project.
Week 5-9: Development of an algorithm to solve the research problem.
Week 10: Preparing a final report and poster on the research results. Students will 
also present an oral presentation on their research work.
Number of Open Slots: 1
Contact Information:
Name: Yogesh Barve
Department: Computer Science