Big Data Analytics: Practices and Applications
李 昕 教授
Big data analytics is an important area that has been continuously growing during the past decade. It has been successfully applied to a variety of commercial applications. This seminar will present novel statistical algorithms and methodologies for several application domains: manufacturing, brain, automobile, etc., where machine learning is playing an extremely important role. Technical challenges, proposed solutions and future directions will be discussed and supported by successful case studies from industrial companies.
Xin Li received the Ph.D. degree in Electrical & Computer Engineering from Carnegie Mellon University in 2005. He is currently a Professor in the ECE Department at Duke University and is leading the Institute of Applied Physical Sciences and Engineering at Duke Kunshan University. His research interests include integrated circuit, signal processing and data analytics. Dr. Li is the Associate Editor of IEEE TBME, IEEE TCAD, ACM TODAES, IEEE D&T and IET CPS. He was the General Chair of ISVLSI and FAC. He received the NSF CAREER Award in 2012 and six Best Paper Awards from IEEE TCAD, DAC, ICCAD and ISIC. He is a Fellow of IEEE.