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Baskin School of Engineering
Electrical and Computer Engineering
Assistant Professor
Faculty
Regular Faculty
Jack Baskin Engineering Building
Room 239
SOE2
Jason Eshraghian is an Assistant Professor in Electrical and Computer Engineering at the University of California Santa Cruz. He received the Bachelor of Engineering (Electrical and Electronic) and Bachelor of Law, and PhD in Electrical Engineering, all from the University of Western Australia. He then joined the University of Michigan as a Post-Doctoral Researcher between 2019 - 2022. Dr. Eshraghian is the developer of snnTorch, a widely used deep learning framework for training biologially inspired neural networks (downloaded >100,000 times). His research interests are in neuromorphic algorithm and accelerator design, where he seeks to draw principles from neuroscience to make computation more efficient.
He was awarded the 2023 IEEE Darlington Circuits and Systems Best Paper Award, 2019 IEEE TVLSI Best Paper Award, the 2019 IEEE AICAS Best Paper Award, and the 2020 IEEE ICECS Best Live Demonstration Award. He was also the recipient of the Fulbright Research Fellowship (Australian-American Fulbright Commission), the Forrest Research Fellowship (Forrest Research Foundation), and the Endeavour Fellowship (Australian Government). He currently serves as the secretary of the IEEE Neural Systems and Applications Committee and is an Associate Editor of APL Machine Learning.
- Neuromorphic Computing
- Spiking Neural Networks
- Brain-Inspired Learning Algorithms and Hardware
- Memristors & RRAM
- FPGA/ASIC Design
ECE183/293: Brain-Inspired Machine Learning
ECE171: Analog Electronics
ECE173: High-Speed Digital Design
- Fulbright Fellowship (US-Australian Fulbright Commission)
- Forrest Research Fellowship (Forrest Research Foundation)
- 2023 IEEE CAS Darlington Best Paper Award
- 2020 IEEE ICECS Best Live Demonstration Award
- 2019 IEEE TVLSI Best Paper Award
- 2019 IEEE AICAS Best Paper Award
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