Jason Eshraghian is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of California, Santa Cruz. He holds dual degrees in Electrical and Electronic Engineering and Law from The University of Western Australia (2016) and earned his Ph.D. in 2019 from the same institution. From 2019 to 2022, he served as a Fulbright Research Fellow at the University of Michigan.

His research focuses on neuromorphic computing and brain-inspired machine learning, and has been recognized with seven IEEE Best Paper and Live Demonstration Awards. He is the developer of snnTorch, a Python library with over 200,000 downloads for training spiking neural networks.

He has served as the Area Chair of the Telluride Neuromorphic Cognition and Engineering Workshop (2023, 2024) and is a co-organizer of the NeuroAI workshop at NeurIPS 2024. He is an Associate Editor of APL Machine Learning, the Secretary of the IEEE Neural Systems and Applications Technical Committee, and a Scientific Advisory Board Member of BrainChip and Conscium.

Other IEEE Recognitions

• 2024 Proceedings of the IEEE Best Paper Award
• 2024 IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip Best Paper Award
• 2024 IEEE Nanotechnology Magazine Best Paper Award
• 2020 Best Live Demonstration Award at IEEE International Conference on Electronics Circuits and Systems
• 2019 Best Paper Award at IEEE International Conference on Artificial Intelligence Circuits and Systems