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

• Session chairs: EIPBN 18, IEEE ICTA 21, IUMRS 21, IEEE EDTM 22, …
• TPC member: DAC 22/23, ICCAD 23, ASP-DAC 24, IEEE EDTM 21/22, ICTA 20/21/22, ASP-DAC 23, …

Journals

• Editorial Advisory board of APL Machine learning
• Guest editor of IOP Neuromorphic Computing and Engineering
  • Focus issue on 3D Circuits for Neuromorphic Computing
  • Focus issue on Open Neuromorphic Simulations
• Reviewer:
  • Nature Electronics, Nature Communications, Science Adances, etc.

Recognition

• RGC Early Career Awards (HKSAR), 2021
• NSFC Excellent Young Scientists Fund (港澳優青), 2021
• Croucher Tak Wah Mak Innovation Award, 2023
• Top 1% worldwide by citation by Clarivate Analytics

Contest

• 1st Prize in National Undergraduate Electronic Design Contest (China), 2008
• 2nd Prize in PKU Programming Contest, 2006
• 1st Prize in Chinese Physics Olympiad, 2004