Hsinchun Chen, Ph.D.; Arizona Regents’ Professor, Thomas R. Brown Chair Professor in Management and Technology, University of Arizona; Director, Artificial Intelligence Lab; Fellow, ACM, IEEE, AAAS. Dr. Hsinchun Chen graduated with BS at the National Chiao-Tong University (Taiwan), MBA at SUNY Buffalo, and MS and Ph.D. at New York University. He is the University of Arizona Regents' Professor and Thomas R. Brown Chair Professor in Management and Technology. He is also a Fellow of ACM, IEEE and AAAS. Dr. Chen recently served as the lead Program Director of the Smart and Connected (SCH) Program at the NSF (2014-2015), a multi-year multi-agency health IT research program of USA. He is author/editor of 20 books, 280 SCI journal articles, and 150 refereed conference articles covering digital library, data/text/web mining, business analytics, security informatics, and health informatics. His overall h-index is 81 (22,000 citations for 840 papers according to Google Scholar). Dr. Chen founded the Artificial Intelligence Lab at the University of Arizona in 1989, which has received more than $40M in research funding from NSF, NIH, NLM, DOD, DOJ, CIA, DHS, and other agencies (90 grants, 40 from NSF). He has served as Editor-in-Chief of major ACM/IEEE, and Springer journals and conference/program chair of major ACM/IEEE/MIS conferences in digital library, information systems, security informatics, and health informatics. He is also a successful IT entrepreneur. His COPLINK/i2 system for security analytics was commercialized in 2000 and acquired by IBM as its leading government analytics product in 2011. Dr. Chen has served as an advisor to major federal research programs and was a Scientific Counselor of the National Library of Medicine (USA), National Library of China, and Academia Sinica (Taiwan). He is a visiting chair professor at several major universities in China (Tsinghua University) and Taiwan (National Taiwan University). He is internationally renowned for leading the research and development in the health analytics (data and text mining; health big data; DiabeticLink and SilverLink) and security informatics (counter terrorism and cyber security analytics; security big data; COPLINK, Dark Web and Hacker Web) communities. See: http://ai.arizona.edu/hchen
Keynote: The Hacker Web Project: Exploring and Data Mining the International Community of Hackers
In this talk I will review our highly-acclaimed NSF-funded Hacker Web research, which develops advanced data, text and web mining techniques to explore the international underground hacker community. Selected research in identifying key hackers, important hacker assets, and emerging threats in the carding community will be presented. Via collaboration with the intelligence community and industry, we have also developed tools and datasets for assisting the law enforcement and security analytics community.
For more project information, see: https://ai.arizona.edu/research/cyber; For recent NSF press information, see: https://nsf.gov/discoveries/disc_summ.jsp?cntn_id=136513&org=NSF