Neuromorphics Technical Committee
Objective
Advance computing with inspirations from the brain and natural intelligent systems.
Membership
Members are volunteers who serve for a two-year renewable term at the invitation of the committee chair. Membership is limited to two consecutive terms so that new ideas can be generated, incorporated, and executed.
History
The committee on Neuromophic Computing was recently added to EDS as a technical committee.
Conferences
Contact
If you have ideas that you would like to have considered by this committee (e.g. a new workshop, aspecial issue, topics for special sessions, etc.) please contact any current committee member. If you would like to volunteer on the committee, please contact the committee chair.
Neuromorphics Technical Committee Chair
Neuromorphics Technical Committee Member
Shimeng Yu is an associate professor of electrical and computer engineering at the Georgia Institute of Technology. He received the B.S. degree in microelectronics from Peking University in 2009, and the M.S. degree and Ph.D. degree in electrical engineering from Stanford University in 2011 and 2013, respectively. From 2013 to 2018, he was an assistant professor at Arizona State University. Prof. Yu’s research interests are nanoelectronic devices and circuits for energy-efficient computing systems. His expertise is on the emerging non-volatile memories (e.g., RRAM, ferroelectrics) for different applications such as deep learning accelerator, neuromorphic computing, monolithic 3D integration, and hardware security. Among Prof. Yu’s honors, he was a recipient of the NSF Faculty Early CAREER Award in 2016, the IEEE Electron Devices Society (EDS) Early Career Award in 2017, the ACM Special Interests Group on Design Automation (SIGDA) Outstanding New Faculty Award in 2018, the Semiconductor Research Corporation (SRC) Young Faculty Award in 2019, etc. Prof. Yu served the technical program committee of many EDS conferences including IEDM, Symposium on VLSI and IRPS. He is a senior member of the IEEE.
Lecture Topics:
- Neuromorphic/Brain-inspired computing
