My name is Can Li (Chinese: 李燦), and I am currently an assistant professor at the Department of Electric and Electronic Engineering (EEE) of the University of Hong Kong (HKU), working on analog and neuromorphic computing accelerators based on post-CMOS emerging devices (e.g., memristors), for efficient machine/deep learning, network security, signal processing, etc. Before that, I spent two years at Hewlett Packard Labs in Palo Alto, California, and obtained my Ph.D. from University of Massachusetts, Amherst, and B.S./M.S. from Peking University.
Professional Activities
Conferences
- “Neuromorpihc hardware” session chair for EIPBN 2018.
Journal Reviewer
- Nature Electronics
- Nature Communications
- Nanoscale
- Journal of Materials Chemistry C
- Scientific Reports
- Nanotechnology
- Applied Physics A
- Journal of Appied Physics
- Flexible and Printed Electronics
- Nano Futures
- IEEE EDL
- IEEE TED
- IEEE JEDS
- IEEE TNano
- IEEE TVLSI
- IEEE TCAD
- IEEE JxCDC
- IEEE TETC
- …
Awards
- RGC Early Career Awards (HKSAR), 2021
- NSFC Excellent Young Scientists Fund (港澳優青), 2021
Contest
- 1st Prize in National Undergraduate Electronic Design Contest (China), 2008
- 2nd Prize in PKU Programming Contest, 2006
- 1st Prize in Chinese Physics Olympiad (Province), 2004