• The University of Western Australia (M002), 35 Stirling Highway,

    6009 Perth


  • Source: Scopus
  • Calculated based on number of publications stored in Pure and citations from Scopus
If you made any changes in Pure these will be visible here soon.

Personal profile


Jason K. Eshraghian (Member, IEEE) received the Bachelor of Engineering degree in electrical and electronic and the Bachelor of Laws degree from The University of Western Australia, WA, Australia, in 2017, and the Ph.D. degree from The University of Western Australia. He is jointly appointed as a Postdoctoral Researcher with the Department of Electrical Engineering and Computer Science, University of Michigan, in Ann Arbor, USA, and a Forrest Research Fellow with the Schools of Medicine and Computer Science, The University of Western Australia. He serves as the Secretary-Elect of the the IEEE Neural Systems and Applications Committee, and was the Track Chair of the IEEE International Symposium on Circuits and Systems in 2019 and 2020.

Jason was awarded the 2019 IEEE Very Large Scale Integration Systems Best Paper Award, the Best Paper Award at the 2019 IEEE Artificial Intelligence Circuits and Systems Conference, and the Best Live Demonstration Award at the 2020 IEEE International Conference on Electronics, Circuits and Systems. He was a recipient of the 2021 Fulbright Postdoctoral Fellowship, the 2021 Forrest Research Fellowship, and 2019 Endeavour Research Fellowship.

His research interests span the hardware and algorithm stacks, from neuromorphic computing to spiking neural networks. He is the developer of snnTorch which integrates modern deep learning techniques with spiking neural networks, and he has led the design of several RRAM-CMOS artificial intelligence accelerators.

Education/Academic qualification

Electronic Engineering, Ph.D., The University of Western Australia

Award Date: 26 Aug 2020

External positions

Post-Doctoral Fellow, University of Michigan, Ann Arbor

Aug 2019 → …

Industry keywords

  • Biotechnology
  • Medical Devices

Research expertise keywords

  • Neuromorphic engineering
  • RRAM
  • Spiking Neural Networks
  • Deep learning


Dive into the research topics where Jason Eshraghian is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles


Recent external collaboration on country/territory level. Dive into details by clicking on the dots or