Cong Li received his Bachelor's degrees in Electronic Information Engineering and Mathematics from Tianjin University, China, in 2009 and his Ph.D. in Electrical Engineering from the University of Central Florida (UCF) in Orlando, Florida, in 2014. His research interests include machine learning with emphasis on kernel methods, multi-task learning, support vector machines and learning theories.
Web Page: http://ml.cecs.ucf.edu/user/26
Email: congli, at symbol, eecs, dot symbol, ucf, dot symbol, edu
Georgios C. Anagnostopoulos is an Associate Professor of Electrical & Computer Engineering and co-director of the Information Characterization & Exploitation (ICE) Laboratory at Florida Institute of Technology (FIT) in Melbourne, Florida. He received his Diploma in Electrical Engineering from the University of Patras in Patras, Greece, in 1994 and his M.S. and Ph.D. degrees in Electrical Engineering from UCF in 1997 and 2001 respectively. His research interests span the area of Machine Learning (ML) and include Artificial Neural Networks, Population-based Evolution of ML models, Support Vector Machines and other Kernel-based ML Methods.
Web Page: http://my.fit.edu/~georgio
Email: georgios, at symbol, fit, dot symbol, edu