I am Deepak, a Ph.D. candidate at Purdue Univeristy’s Neuro(nano) Research Laboratory advised by Prof. Kaushik Roy. My research focuses on trustworthy AI.

Deepak is currently pursuing his Ph.D. under the guidance of Prof. Kaushik Roy at Purdue University, where his research has gained significant recognition. His work has been spotlighted at leading conferences, earning the 2024 NeurIPS Spotlight Paper Award (Top 2%), the 2024 ICML Spotlight Paper Award (Top 3.5%) and Estus H. and Vashti L. Magoon Research Excellence Award 2025. At Purdue, he has been awarded the College of Engineering Scholarship and the ECE Summer Research Grant. His research focuses on deep learning algorithms, with a particular emphasis on deep learning memorization and trustworthy machine learning.

He previously worked as an ML Research intern at Microsoft, where he focused on predictive time-series machine learning models. Prior to that, at National Instruments R&D, he developed innovative signal acquisition and processing frameworks, with his work being recognized as one of the Top 3 Best Papers at the National Instruments Tech Conference in 2017.

Deepak earned his M.S. in Electrical and Computer Engineering from Purdue University in 2019, where he received the prestigious Magoon Teaching Excellence Award for his outstanding contributions as a teaching assistant. He completed his B.E. in Electronics Engineering from M. S. Ramaiah Institute of Technology, India, in 2016, graduating as a bronze medalist for academic excellence.