Topic: Fractal Time Series

Presenter: 李明, PhD., Professor, East China Normal University

 

Ming Li received the Master degree in structural mechanics from the China Ship Scientific Research Center, and Ph.D. degree in computer science from the City University of Hong Kong, respectively. In 2004, he joined East China Normal University as a professor after several years’ experiences as a research fellow in the National University of Singapore.  His areas relate to 1) computer science, currently with the emphasis on teletraffic modeling, anomaly detection in network security, network calculus, statistics in computer communication networks, 2) applied statistics and signal processing, with the recent interests in  fractal time series and its applications, ocean waves,  3) measurement and control, currently focusing on error analysis, measurement fundamentals, optimal control of measurement systems, 4) experimental mechanics, mainly in fatigue, vibration. He is listed, by the Marquis Who's Who, in Who's Who in Science and Engineering, 9th Edition ·2006-2007, the First Edition of Who's Who in Asia-2007, Who's Who in Science and Engineering, 10th Anniversary Edition, 2008-2009, Who's Who in the World - 2008, 25th Silver Anniversary Edition, Who's Who in the World - 2009, 26th Edition. In addition, he is listed, by The International Biography Centre of Cambridge, England (IBC), 2000 Outstanding Scientists 2008/2009,  IBC FOREMOST SCIENTISTS OF the WORLD - 2008-, and Top 100 Scientists - 2009, respectively. He has the award of International Scientist of the Year for 2008, and the award of LEADING SCIENTISTS of the WORLD 2008, the 21st Centure Award for Achievement, by IBC, respectively.

　

Member of IEEE, Society of Systems, Man and Cybernetics, Computer Society, Communication Society; Senior member of China Electrotechnical Society; Member of Chinese Institute of Electronics (CIE); Member of The Chinese Society of Theoretical and Applied Mechanics (CSTAM); Member of Working Group on Computer Science, The World Scientific and Engineering Academy and Society. 

　

 

 

 

Topic: Blind Signal Separation based on Statistical Properties with Real Life Applications

Presenter: Thomas Yang, Ph.D., Associate Professor of Electrical Engineering, Embry-Riddle Aeronautical University, Daytona Beach, Florida, USA

 

Bio: Dr. Thomas Yang received his B.S. in Electrical Engineering from Zhejiang University, Hangzhou, China in 2001, and his Ph.D. in Electrical Engineering from the University of Central Florida, Orlando, Florida, USA in 2004. In January 2005, he joined the Department of Electrical and Systems Engineering at Embry-Riddle Aeronautical University (ERAU) in Daytona Beach, Florida, USA, where he is currently an Associate Professor of Electrical Engineering. Dr. Yang’s main research interests include adaptive signal processing with applications in wireless communications and automatic target recognition. He has published more than 40 papers in refereed journals and conference proceedings, and has served as PI or Co-PI in two research projects funded by NASA and the Next Generation Air Transportation System Institute. He also serves as the Vice Chairman and Awards Chairman of IEEE Daytona Section.

 

 

 

 

(主持：陈胜勇、杨良怀)