Priyadarshini Panda
Associate Professor, Lloyd F. Hunt Early Career Chair Of Electrical & Computer Engineering
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolPriyadarshini Panda is an Associate Professor and Lloyd F. Hunt Early Career Chair in Electrical & Computer Engineering at USC, specializing in algorithm-hardware co-design for energy-efficient AI and neuromorphic computing. With a PhD from Purdue and prior faculty experience at Yale, she develops scalable, low-power architectures and novel learning algorithms for spiking and dynamic reservoir networks to process spatio-temporal data. Her work bridges theory and silicon, targeting IoT-constrained deployments and adversarial robustness through co-designed algorithms and hardware. She has collaborated with industry labs including Intel and NVIDIA and is a current visiting faculty at Google DeepMind, reflecting strong ties between academic research and industrial practice. Known for blending supervised and unsupervised approaches, she pursues stochastic and neuromorphic models that rethink planning and decision-making beyond standard deep learning. Her research trajectory emphasizes practical energy-aware intelligence rather than purely algorithmic gains, making her contributions especially relevant for resource-limited real-world systems.
8 years of coding experience
7 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceBoard of Intermediate Education Science, Board of Intermediate Education Science at Narayana Junior CollegeDoctor of Philosophy - PhD Electrical and Computer Engineering, Doctor of Philosophy - PhD Electrical and Computer Engineering at Purdue UniversityGithub contributions (4)
panda1230/Adversarial_NoiseLearning_NoL
May 2019 - Nov 2019
Contributions:22 commits, 7 pushes in 5 months
panda1230/CombinedHebbian_NonHebbianPlasticity-in-Spiking-Neural-Networks
Oct 2017 - Sep 2018
Contributions:27 commits, 22 pushes, 1 branch in 11 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.