Dr. Abhronil Sengupta is an Associate Professor in the School of Electrical Engineering and Computer Science at Penn State University and holds the Joseph R. and Janice M. Monkowski Career Development Professorship. Dr. Sengupta received the PhD degree in Electrical and Computer Engineering from Purdue University in 2018 and the B.E. degree from Jadavpur University, India in 2013. He worked as a DAAD (German Academic Exchange Service) Fellow at the University of Hamburg, Germany in 2012, and as a graduate research intern at Intel Labs in 2016 and Meta Reality Labs in 2017.
The ultimate goal of Dr. Sengupta’s research is to bridge the gap between Nanoelectronics, Neuroscience and Machine Learning. He is pursuing an inter-disciplinary research agenda at the intersection of hardware and software across the stack of sensors, devices, circuits, systems and algorithms for enabling low-power event-driven cognitive intelligence. Dr. Sengupta has published over 100 articles in referred journals and conferences and holds 3 US patents. He has been awarded the ARO Early Career Award (2024), Purdue Engineering 38 by 38 Award (2024), NSF CAREER Award (2023), IEEE Electron Devices Society (EDS) Early Career Award (2023), IEEE Circuits and Systems Society (CASS) Outstanding Young Author Award (2019), Meta Faculty Award (2018), IEEE SiPS Best Paper Award (2018), Schmidt Science Fellows Award nominee (2017), Purdue Bilsland Dissertation Fellowship (2017), CSPIN Student Presenter Award (2015), Birck Fellowship from Purdue University (2013), and the DAAD WISE Fellowship (2012). His work on neuromorphic computing has been highlighted in media by MIT Technology Review, ZDNet, US Department of Defense, American Institute of Physics, IEEE Spectrum, and Nature Materials, among others. Dr. Sengupta is a Senior Member of the IEEE and ACM. He currently serves as an ACM Distinguished Speaker (2024-2027) and IEEE CASS Distinguished Lecturer (2025-2026).