Abhronil Sengupta

Dr. Abhronil Sengupta serves as an Associate Professor in the School of Electrical Engineering and Computer Science at The Pennsylvania State University, holding the Joseph R. and Janice M. Monkowski Career Development Professorship. He maintains secondary appointments in the Department of Materials Science and Engineering and the Materials Research Institute (MRI).

His academic foundation includes a PhD in Electrical and Computer Engineering from Purdue University (2018) and a B.E. from Jadavpur University, India (2013), complemented by a DAAD Fellowship at the University of Hamburg (2012) and research internships at Intel Labs (2016) and Facebook Reality Labs (2017).

Dr. Sengupta's research pioneers the convergence of Nanoelectronics, Neuroscience, and Machine Learning to develop event-driven cognitive intelligence systems. His interdisciplinary work spans sensor-to-algorithm stacks with emphasis on neuromorphic hardware architectures for ultra-low-power applications, addressing critical challenges in energy-efficient AI.

His exceptional contributions have earned prestigious recognition:

• ARO Early Career Award (2024)
• NSF CAREER Award (2023)
• IEEE EDS Early Career Award (2023)
• Facebook Faculty Award (2018)
• IEEE SiPS Best Paper Award (2018)
• Purdue Bilsland Dissertation Fellowship (2017)

With over 95 peer-reviewed publications and 3 US patents, his research program attracts significant funding from agencies like NSF and ARO. His work has gained international visibility through features in MIT Technology Review, IEEE Spectrum, and Nature Materials.

He actively shapes the field through editorial roles at IEEE Transactions on Cognitive and Developmental Systems and Scientific Reports, plus technical committee service for 12+ conferences including DAC and ICCAD. His MRI affiliation enables cross-cutting collaboration in advanced materials for next-generation computing systems.