Dr. Hsu received a B.S. from Cheng Kung University, Tainan, Taiwan, an M.S. from the University of Texas at El Paso, and a Ph.D. from the University of Michigan in 1979. He has held visiting positions at M.I.T., Boston University, Keio University (as IBM Chair Professor), Japan Advanced Institute of Science and Technology (as Komatsu Chair Professor), Taiwan University, Tsing Hua University (in Hsin-Chu, Taiwan) and the University of Paris-Sud, France. Dr. Hsu's research areas are computational sciences and intelligence, network interconnections and communications, and informatics and intelligent systems. His work on combinational fusion analysis (CFA) has applications in biomedicine, virtual screening and drug discovery, target recognition and tracking, information and music retrieval, and cyber security. Dr. Hsu has served on several program committees of international conferences including three DIMACS workshops, the IEEE AINA (Advanced Information Networking and Applications) series, the I-SPAN series (International Symposium on Parallel Architectures, Algorithms, and Networks.), and the EITC-Bio (Emerging Information and Technology Conference-Bioinformatics, Biomedicine, and Biotechnology) series. Dr. Hsu has served on several editorial boards including IEEE Transactions on Computers, Networks, International Journal of Foundation of Computer Science, Monograph on Combinatorial Optimization. He is an Associate Editor of Pattern Recognition Letters and Editor in Chief (2000-06) and for a special issue of the Journal of Interconnection Networks. Among the honors Dr. Hsu received are: Foundation Fellow of the Institute of Combinatorics and Applications (TICA), senior member of IEEE Computer Society, IBM Endowed Chair Professor, Komatsu Endowed Chair Professor, Bene Merenti Meritorious Service Award, Distinguished Teaching Award and Clavius Distinguished Professor, and Fellow of the New York Academy of Sciences.

Dr. Hsu will discuss INFORMATION FUSION AND CYBER SECURITY. Cyber security issues and problems are ubiquitous and pervasive. They have played a central role in the infrastructure and function of any organization in business, industry, government, and academics. They entail a variety of topics including (among others) threat assessment, intrusion detection systems, multibiometric systems, crime data mining, and cyber profiling. The problems are complex and multi-faceted. We propose using an information fusion method, Combinatorial Fusion Analysis, to help build the structure, improve the function, and enhance the applications and services.