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Last Activity

Id VisitTime IPAddress Area
11193004 2017-04-28 23.20.202.156 北美地区
11165415 2017-04-27 66.249.79.81 美国
11162045 2017-04-27 10.180.78.111 局域网
11157972 2017-04-27 180.153.236.51 上海市
11110561 2017-04-25 66.249.79.141 美国
11092969 2017-04-25 66.249.79.145 美国
11077136 2017-04-25 193.70.15.60 意大利
11052125 2017-04-24 61.135.217.121 北京市
11051336 2017-04-24 157.55.39.201 美国
11039939 2017-04-23 66.249.64.216 美国
11033851 2017-04-23 193.70.15.60 意大利
11033718 2017-04-23 52.43.156.53 美国
11032250 2017-04-23 52.43.156.53 美国
11012207 2017-04-22 66.249.64.208 美国
11009063 2017-04-22 207.46.13.139 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