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Tania Roy is an Associate Professor in the Department of Electrical and Computer Engineering at Duke University. Her research focuses on developing hardware for artificial intelligence applications based on novel two-dimensional materials. She specializes in energy-efficient electronics and high-power electronics using wide bandgap materials such as gallium nitride. Her work includes modeling computer architecture and investigating the reliability of emerging devices and materials systems, particularly under the influence of ionizing radiation. She has been involved in several postdoctoral fellowships and has published extensively on topics such as neuromorphic computing and optoelectronics. Her contributions were recognized with the Presidential Early Career Awards for Scientists and Engineers from the National Science Foundation in 2024.
Georgia Institute of Technology • Atlanta, GA
Conducted research on electronic devices.
University of California, Berkeley • Berkeley, CA
Engaged in advanced research focusing on neuromorphic devices.
Department of Biomedical Engineering (MS program)