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Priyadarshini Panda is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Southern California. Her academic journey includes a Doctoral Degree from Purdue University, completed in 2019, following her Master's and Bachelor's degrees from Birla Institute of Technology and Science in 2012. Dr. Panda's research focuses on algorithm-hardware co-design, with applications in energy-efficient artificial intelligence, neuromorphic computing, and spiking neural networks. She has worked at prominent institutions, including a visiting researcher position at Google DeepMind and prior roles at Yale University and Intel. Her notable awards include the 2023 NSF CAREER Award and the 2022 Google Research Scholar Award. She is an active contributor to various technical program committees for AI/ML hardware design conferences and has published extensively on her research interests. Dr. Panda aims to integrate nature-inspired principles into intelligent systems design, striving for robustness and adaptability in her work. She is dedicated to mentoring students and advancing the field of sustainable AI.
GRE is NOT required for Master's applicants for 2025-2026.