报告人: Prof. Xin Li (Duke Kunshan University)
时间: 2018年9月21日(星期五)16:30—17:30
地点: 苏州大学本部精正楼二楼报告厅
报告摘要:
Big data analytics is an important areathat has been continuously growing during the past decade. It has been successfullyapplied to a variety of commercial applications. This keynote will presentnovel statistical algorithms and methodologies for several application domains:manufacturing, automobile, etc., where machine learning is playing an extremelyimportant role. Technical challenges, proposed solutions and future directionswill be discussed and supported by successful case studies from industrialcompanies.
报告人简介:
Xin Li received the Ph.D. degree inElectrical and Computer Engineering from Carnegie Mellon University,Pittsburgh, PA in 2005, and the M.S. and B.S. degrees in ElectronicsEngineering from Fudan University, Shanghai, China in 2001 and 1998,respectively. He is currently a Professor in the Department of Electrical andComputer Engineering at Duke University, Durham, NC, is leading the Instituteof Applied Physical Sciences and Engineering (iAPSE), and is the Director ofthe Data Science Research Center (DSRC) at Duke Kunshan University, Kunshan,Jiangsu, China. In 2005, he co-founded Xigmix Inc. to commercialize his PhDresearch, and served as the Chief Technical Officer until the company wasacquired by Extreme DA in 2007. From 2009 to 2012, he was the AssistantDirector for FCRP Focus Research Center for Circuit & System Solutions(C2S2), a national consortium working on next-generation integrated circuitdesign challenges. His research interests include integrated circuit, signalprocessing and data analytics. Dr. Xin Li is the Deputy Editor-in-Chief of IEEETCAD. He was an Associate Editor of IEEE TCAD, IEEE TBME, ACM TODAES, IEEED&T and IET CPS. He served on the Executive Committee of DAC, ACM SIGDA,IEEE TCCPS, and IEEE TCVLSI. He was the General Chair of ISVLSI, iNIS and FAC,and the Technical Program Chair of CAD/Graphics. He received the NSF CAREERAward in 2012, two IEEE Donald O. Pederson Best Paper Awards in 2013 and 2016,the DAC Best Paper Award in 2010, two ICCAD Best Paper Awards in 2004 and 2011,and the ISIC Best Paper Award in 2014. He also received six Best PaperNominations from DAC, ICCAD and CICC. He is a Fellow of IEEE.
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