Summary
Priyadarshini Panda is a noted researcher and educator specializing in energy-efficient AI and neuromorphic computing. Based in Los Angeles, she is Associate Professor and Lloyd F. Hunt Early Career Chair of Electrical & Computer Engineering at USC, where she leads algorithm-hardware co-design for scalable, energy-aware AI and IoT applications. Her work spans scalable deep learning, spiking neural networks, and novel architectures for spatio-temporal data processing, with a focus on secure, resource-constrained inference. She has held roles at Yale University and Google DeepMind as visiting faculty, reflecting strong cross-institutional and industry engagement. With a PhD from Purdue under Kaushik Roy and industry internships at Intel and NVIDIA, she combines rigorous academics with hands-on engineering and mentorship.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Electrical and Computer Engineering, Doctor of Philosophy - PhD Electrical and Computer Engineering at Purdue University