Focus of research is neuromorphic computing and deep learning algorithms, stochastic computing, coupled-oscillatory systems, energy efficient deep learning
AI is hitting a “memory wall” as models grow. @wef highlights Roy, Raghunathan & Raychowdhury’s push for brain-inspired, efficient hardware—AI’s future is smarter, not bigger. Read more: tinyurl.com/ywwm5kd3
Congrats Manish Nagaraj on successfully defending his PhD thesis, “Exploring Data Efficiency for Deep Learning Systems,” earning high praise from committee and NRL peers!
Shristi Das Biswas successfully defended her Ph.D., presenting impactful work on sustainable, efficient AI training and inference. Congrats, Dr. Biswas!
New story highlights Kaushik Roy and his NRL lab advancing faster, energy‑efficient AI hardware built for independent operation. Read more: tinyurl.com/vhy9fx3w
Congrats to Dr. Kang He on passing his defense today! Amazing presentation on “Scaling Language Intelligence: From Foundation Models to Agentic Systems.” Great work, Kang!
Discover how next-generation AI hardware—powered by brain-inspired algorithms—can break the memory wall and enable faster, more efficient, and adaptable AI with Kaushik Roy and Arijit Raychowdhury. Register: fro.ntiers.in/HFO2oCKm7Yb#FrontiersIn
AI is getting smarter — and far more energy-hungry.
Join Purdue ECE Prof. Kaushik Roy on Feb. 12 for a live webinar on brain-inspired AI hardware and compute-in-memory architectures.
👉 Register here bit.ly/roywebinar-reg@NRL_labbit.ly/roy-webinar
Congrats to Soumyadeep Chandra on successfully presenting his prelim, ‘Encoding Physics and Procedure’! A big milestone in his PhD journey—well done, Soumyadeep! #PurdueUniversity#PurdueEngineering#purdueece
Our lab’s latest work, “Breaking the Memory Wall,” is out in Frontiers in Science! Explore next-gen AI hardware solutions: frontiersin.org/journals/sci…
Closing the AI–hardware gap needs true co-design across devices, circuits & models. Proud to share our study! Read more: lnkd.in/gPfdVyQEtinyurl.com/yk8bbv3v
Congrats to Amogh Joshi on acing his prelim! His talk on “Resilient Robot Learning” impressed labmates & committee. The future of robotics looks bright! #PurdueECE#PurdueEngineering
Big congrats to Dr. Dong Eun Kim on defending his PhD: In-Memory Computing-based Deep Learning Accelerator! Huge milestone for him! #PhDSuccess#PurdueECE
Congrats to Dr. Utkarsh Saxena on defending his PhD: Algorithms for Efficient Deep Learning Inference! A proud moment for NRL & his stellar committee. #PurdueECE#PhDJourney
Congrats to Dr. Tanvi Sharma for successfully defending her PhD on Compute-in-Memory based ML Inference Accelerators! A proud day for NRL and her amazing committee. #PhDSuccess#PurdueECE
Congrats to Dr. Shubham Negi on defending his PhD: Transforming ML Systems via Hardware-Software Co-design! Proud moment for NRL & his stellar committee. #PhDSuccess#PurdueECE
Spotted at #ICML in Vancouver! Utkarsh Saxena & Deepak Ravikumar presented cutting-edge work on LLM quantization & memorization. Big ideas, big stage! #AIResearch#PurdueNRL