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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 using novel functional materials, particularly two-dimensional materials. She models computer architectures that mimic the basic structures of biological synapses and neurons, creating hardware that is adapted to pattern recognition algorithms. Her work emphasizes high-power electronics made from gallium nitride, a wide bandgap semiconductor, and she investigates defects produced by ionizing radiation in GaN devices. Tania is particularly interested in studying the reliability of emerging devices and materials systems using electrical characterization techniques. Her significant contributions to the field have led to numerous publications and she has received various awards for her work, including the Presidential Early Career Awards for Scientists and Engineers.
Georgia Institute of Technology • Atlanta, GA
Conducted research in semiconductor materials and device reliability.
University of California, Berkeley • Berkeley, CA
Focused on advanced materials for neuromorphic computing.
Department of Biomedical Engineering (MS program)