Last Activity

Id VisitTime IPAddress Area
17223757 2017-11-21 美国
17215786 2017-11-21 北京市
17213873 2017-11-20 北京市
17206693 2017-11-20 北京市
17180026 2017-11-19 北京市
17173787 2017-11-19 北京市
17163704 2017-11-19 欧洲和中东地区
17142457 2017-11-18 北京市
17139669 2017-11-18 北京市
17131896 2017-11-18 北京市
17129430 2017-11-18 北京市
17108960 2017-11-17 法国
17076049 2017-11-16 英国
17069559 2017-11-16 北京市
17043407 2017-11-15 辽宁省沈阳市


Kejie Huang received the B.Sc degree and M.Eng degree from the College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China, in 2003 and 2006, respectively, and the Ph.D degree from the Department of Electrical Engineering, National University of Singapore, Singapore, in 2014. He was working in Samsung Semiconductor, GalaxyCore, Xilinx Singpaore, A*STAR and SUTD from 2006 to 2016. Since Oct 2016, he has been a Principal Investigator with the College of Information Science and Electronic Engineering, Zhejiang University. He has authored or co-authored 20 scientific papers in international peer-reviewed journals and conference proceedings. He holds four granted international patents, and another three patent applications. He is the reviewer of many international journals such as IEEE TCAS, TVLSI, EDL.

Research work

Energy consumption in general computing environment, such as home electronics, data centre, internet of things, artificial intelligence, etc., has been one of the most critical issues. The key underlying problem is that the memory and the processing unit are separated in the conventional Von Neumann system. New computing systems are under focused development to meet the rapidly growing demands of low power, high computing power and intelligent systems. Technological advancements are the major propellant for architectural innovations. The recent resistive non-volatile memory technologies open a new paradigm of the computing system and may revolutionize the computer architecture in near future. My research interests, including but not limited to: 1. Emerging resistive non-volatile memory (PCM, RRAM, etc.) array design 2. Low power circuits and system design with the emerging technologies 3. Neuromorphic computing chip design 4. Deep learning software and hardware development


Phone:0571 87951754