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Human Body Thermal Model for Fat Metabolism

Primary Investigators:
Greg Walker
Brief Description of Project:
Many pathologies are manifest in deviations from homeostasis.  That is, we got hot when we have a fever.  Although physiologists have a good idea of how our body regulates our internal temperature, they don't have a good idea of how to model it.  We will use data collected from brown adipose tissue studies being performed by the medical center for possible understanding and treatment of obesity combined with artificial neural networks and heat transfer models of the body to examine a range of thermoregulation modalities

Desired Qualifications:
programming experience a must; python desired but not necessary
Nature of Supervision:
weekly meetings with a graduate student and faculty adviser
A Brief Research Plan (period is for 10 weeks):
1. implement neural network on thermal model of the human body (thermal model already exists).
2. train thermal model with data from medical center
3. test thermal model against known pathologies
4. use combined ANN and thermal model to predict thermal behavior in people 

Number of Open Slots: 1
Contact Information:
Name: Greg Walker
Department: Mechanical Engineering