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