专用集成电路与系统国家重点实验室
讲座信息

题  目:Random Forest Method and its Applications
报告人:Sheng-Guo Wang(University of North Carolina)
时  间:2014年5月22日(周四)上午10:00-11:00
地  点:张江校区微电子楼369室


Abstract
This talk presents Random Forest Method and its applications. Random Forest method is an ensemble of random decision trees/classifiers. It also utilizes statistical learning technique. Therefore it is a new powerful method for modeling and prediction. This presentation will take an interactive way for discussions on its possible applications to circuits.

Biography
Prof. Sheng-Guo Wang received the B.S. and M.S. in EE from University of Science and Technology of China in 1967 and 1981, respectively, and the Ph.D. in ECE from University of Houston in 1994.
He is a tenured Full Professor at University of North Carolina at Charlotte. He has published more than 100 papers in journals and conferences, and been the PI for numerous research projects since 1974. His research work has been supported by NSF, NCDOT, Tellabs, HP, Agilent, NASA, ARO, British Council, and China Railway.
He is a frequent reviewer for more than 30 international journals and more than 10 international conferences. He has served as a Program Committee Member (IPC) for more than 10 times, and more than 10 times as Session Chair/co-Chair for international conferences. He has also served as an Associate Editor for JDSMC, JCTA, and IEEE MSC, etc.
His current research interests include systems, circuits, control, modeling, robust control, mathematical and numerical analysis, algorithms, applications, etc.
Prof. Wang is a recipient of China National Science Conference Prize 1978 (one of the highest academic awards in China) and many other academic awards, including the Best Session Paper Presentation Award of 2001 ACC, the inventor award for UNC Charlotte Invention 2001, an Outstanding Faculty Award at PVAMU 1997, Sigma Xi Research Excellence Award (UH Chapter) 1994, British Council Scholarship 1989. His membership includes IEEE, ASME, ASEE, Sigma Xi, and Tau Beta Pi. He has been a senior member of IEEE since 1997.


 
 
 
 

 

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