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Last Activity

Id VisitTime IPAddress Area
14883907 2017-08-23 54.161.82.122 美国
14883877 2017-08-23 203.208.60.241 北京市
14878764 2017-08-22 203.208.60.239 北京市
14851334 2017-08-22 203.208.60.238 北京市
14843032 2017-08-21 207.46.13.42 美国
14840936 2017-08-21 203.208.60.238 北京市
14839990 2017-08-21 137.132.3.10 新加坡
14836087 2017-08-21 137.132.250.9 新加坡
14834902 2017-08-21 123.123.219.52 北京市
14834810 2017-08-21 203.208.60.242 北京市
14831238 2017-08-21 203.208.60.238 北京市
14828843 2017-08-21 207.46.13.42 美国
14824826 2017-08-21 223.255.127.140 北京市
14822326 2017-08-21 137.132.250.12 新加坡
14817405 2017-08-21 203.208.60.239 北京市

Profile

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

Contact

Phone:0571 87951754
E-mail:huangkejie@zju.edu.cn