Abhidnya is an Industrial Engineering Ph.D. student in the School of Computing and Augmented Intelligence at Arizona State University. She is majoring in Information Management and Systems, and minoring in Operations Research and Mechanical Engineering. Her research interests include machine learning, deep learning, time-series analysis. Her Ph.D. thesis is focused on building machine learning models for clinical temporal datasets.
One of the projects that she is currently working on involves developing a forecasting model to predict kidney failure in patients based on changes in their physiological behavior. The other projects include sleep apnea detection from the sleep data captured with RADAR system, and gait analysis for patients affected with Alzeimer’s Disease (AD).
She completed her Master’s degree in Mechanical Engineering from the University of Utah majoring in Solid Mechanics and Biomechanics. Her M.S. thesis focused on studying change in orientation of adventitial collagen fibers in cerebral blood vessels during & post-axial overstretch. She has her Bachelor’s degree in Mechanical Engineering from the University of Pune.