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Last Activity

Id VisitTime IPAddress Area
13183463 2017-06-29 54.158.245.70 美国
13182394 2017-06-29 66.249.79.139 美国
13151810 2017-06-28 66.249.75.29 美国
13148437 2017-06-28 66.249.75.30 美国
13125782 2017-06-27 106.11.156.182 亚太地区
13125112 2017-06-27 106.11.153.177 亚太地区
13115202 2017-06-27 66.249.69.201 美国
13110917 2017-06-26 106.11.152.167 亚太地区
13110913 2017-06-26 106.11.154.173 亚太地区
13110330 2017-06-26 66.249.69.203 美国
13105706 2017-06-26 66.249.66.20 美国
13085684 2017-06-26 61.135.217.78 北京市
13084996 2017-06-26 61.135.217.125 北京市
13056953 2017-06-25 10.214.52.186 局域网
13054369 2017-06-25 66.249.73.218 美国

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