Hsinchun Chen is the Regents' Professor and Thomas R. Brown Chair of Management and Technology at the University of Arizona and the Director and founder of the Artificial Intelligence Lab (AI Lab). He received a B.S. degree from National Chiao Tung University in Taiwan, an MBA from SUNY Buffalo and an M.S. and Ph.D. in Information Systems from New York University.
Hsinchun's research primarily focuses on data/web/text mining and knowledge management techniques. He has applied his work in the fields of web computing, search engines, digital libraries, health informatics, security informatics, biomedical informatics and business intelligence. His most notable contributions are in management information systems, digital libraries, health informatics, and security informatics.
He is the Editor-in-Chief (EIC) of the ACM Transactions on Management Information Systems (ACM TMIS) and of the Springer journal Security Informatics. He serves or has served on ten editorial boards including:
- IEEE Intelligent Systems
- ACM Transactions on Information Systems
- IEEE Transactions on Systems, Man, and Cybernetics
- Journal of the American Society for Information Science and Technology
- Decision Support Systems
- International Journal on Digital Library
Hsinchun has also served as a Scientific Counselor/Advisor to the United States National Library of Medicine (NLM), Academia Sinica in Taiwan, and the National Library of China.
In 2005, Hsinchun was ranked #8 in publication productivity in Information Systems (CAIS 2005), #1 in Digital Library research (IP&M 2005), and #9 in a list of the "Top 32" most productive information systems researchers (EJIS 2007) in three bibliometric studies. In 2008, Hsinchun was recognized as one of the top-ranked authors in the Management Information Systems field. His "H-index" score from Google Scholar is 60 (as of March 2012).
Hsinchun has authored more than 20 books, 25 book chapters, 250 SCI journal articles, and 140 refereed conference articles. His recent books include: Dark Web (2012; ISBN 978-1-4614-1556-5), Infectious Disease Informatics (2010; ISBN 978-1-4419-1277-0), Sports Data Mining (2010; ISBN 978-1-4419-6729-9), Mapping Nanotechnology Innovations and Knowledge (2009; ISBN 978-0-387-71619-0), Terrorism Informatics: Knowledge Management and Data Mining for Homeland Security (2008, ISBN 978-0-387-71612-1), Digital Government: E-Government Research, Case Studies, and Implementation (2008; ISBN 978-0-387-71610-7); Intelligence and Security Informatics for International Security: Information Sharing and Data Mining (2006; ISBN 978-0-387-24379-5); and Medical Informatics: Knowledge Management and Data Mining in Biomedicine (2005; ISBN 978-0-387-24381-8), all published by Springer.
He spearheaded the development of the International Conference of Asian Digital Library (ICADL) and the IEEE International Conference on Intelligence and Security Informatics (ISI).
Development of COPLINK Software and Commercialization
In 1997, Hsinchun began development of the COPLINK software, which supports information sharing, analysis, and visualization of law enforcement data. He founded Knowledge Computing Corporation (KCC) to commercialize COPLINK, which then entered the market in 2002 and is now used in thousands of law enforcement agencies across the United States. COPLINK's functions have been described in numerous local, regional, and national sources including the New York Times, the Boston Globe, and the Denver Post. In 2003, COPLINK was named a finalist for the IACP/Motorola Webber Seavey Award: Quality in Law Enforcement. In July 2009, KCC merged with i2 Inc., a market leader in security analytics. In September 2011, the KCC/i2 firm was acquired by IBM for 500 million.
The "Dark Web" Project
Hsinchun is also the director of the Artificial Intelligence Lab's project, "Dark Web Terrorism Research," the goal of which is to develop and use automated tools to systematically collect and analyze terrorist content from the Internet. One software program developed as part of the project, "Writeprint," aims to support authorship identification of online postings and other writings. The Dark Web project is supported by grants from the National Science Foundation and other federal agencies, and has been recognized in the national press including Science News, Wired Magazine, Discover Magazine, and the Toronto Star.
The "Hacker Web" Project and AZSecure Program
Chen was awarded a grant of $1.2M from the National Science Foundation (NSF) for “Securing Cyber Space: Understanding the Cyber Attackers and Attacks via Social Media Analytics” (NSF SES #1314631). Co-PIs are Dr. Salim Hariri (UA; ECE); Dr. Ronald Breiger (UA; Sociology); and Dr. Tom Holt (MSU; Criminology). The Hacker Web project aims to investigate questions regarding hacker behavior, markets, and community structure, among other things. The intended result is a computational framework including algorithms, software, and tools for access and use by other researchers to examine how cyber attacker groups form, develop, and spread their ideas. The project is funded through August 2016.
Chen was also awarded $4.2M from NSF (with UA co-PIs Drs. Salim Hariri, Mark Patton, and Paulo Goes) for the AZSecure Cybersecurity Scholarship-for-Service program at The University of Arizona (NSF DUE #1303362). Project funds provide scholarships for undergraduate, graduate, and doctoral students studying cyber security, in exchange for government service. Students are recruited from across Arizona, including from military bases, community college, and tribal colleges. The program asserts a special emphasis on minority recruitment and retention. Program components are described as including student mentoring and development, independent study and research, internship and post-graduation placement assistance, and program assessment and evaluation. The program is aimed at helping to fill expected federal vacancies in cyber security and related positions over the next 5 years.
The Smart Health Project
Chen has developed the "Smart Health" project in his Lab, which lists the following research objectives: (1) developing technical approaches to support cyber-enabled patient empowerment; (2) developing personalized healthcare and community mapping techniques; and (3) conducting theory-driven assessment and evaluation research. DiabeticLink research includes information extraction, sentiment analysis, and social network analysis to be integrated into the DiabeticLink portal. Chen also founded Caduceus Intelligence Corporation (CIC), a UA spinoff company working in the area of healthcare information systems. CIC lists web analytics, smart health, patient support, and knowledge discovery as its areas of expertise.
He is a Fellow of IEEE and AAAS, and received the IEEE Computer Society Technical Achievement Award in 2006 and the INFORMS Design Science Award in 2008. A paper for which he was co-author was given the MISQ Best Paper Award for 2010 (“Detecting Fake Websites: The Contribution of Statistical Learing Theory,” by Ahmed Abbasi, Zhu Zhang, David Zimbra, Hsinchun Chen, and Jay F. Nunamaker Jr., published in volume 34, issue 3 of MIS Quarterly). Also in 2010, he was recognized as "Distinguished Alumnus" of the National Chiao Tung University in Taiwan  and named a Distinguished University Chair Professor of National Taiwan University. In 2011, he received the IEEE 2011 Research Achievement and Leadership Award in Intelligence and Security Informatics and was a finalist for the AZ Tech Council's Governor's Innovation of the Year Award. The Arizona Daily Star recognized his accomplishments as a top scientist in its 2012 series, "Centennial Salute to Science". In March 2013 he was named the Thomas R. Brown Chair in Management and Technology at the UA, as well as the UA's 2013 Innovator of the Year. In May he was inducted as a University of Arizona Regents' Professor. He was elected as a China National 1000-Elite Chair Professor with the Tsinghua University in 2013.
Notes and references
-  http://ai.arizona.edu/hchen/ Retrieved June 22, 2010.
- Huang, Hsieh-Hong et al. (2005). "An Evaluation of Publication Productivity in Information Systems: 1999 to 2003,". Communications of the Association for Information Systems 15.
- Liu, Xiaoming et al.; Bollen, J; Nelson, M; Vandesompel, H (2005). "Co-authorship Networks in the Digital Library Research Community". Information Processing and Management 41 (6): 1462–1480. doi:10.1016/j.ipm.2005.03.012.
- Gallivan, Michael et al. (2007). "Analyzing IS Research Productivity: An Inclusive Approach to Global IS Scholarship". European Journal of Information Systems 16.
- Chua, Alton et al.; Yang, Christopher C. (2008). "The shift towards multi-disciplinarity in information science". Journal of the American Society for Information Science and Technology 59 (13): 2156–2170. doi:10.1002/asi.20929.
- Copenhaver, Larry (2002-10-23). "Tucson Cops, Local Software to Help in D.C. Sniper Probe". Tucson Citizen.
- "COPLINK: About Us". Retrieved 2010-10-11.[dead link]
- O'Harrow Jr., Robert et al. (2008-03-06). "National Dragnet Is a Click Away: Authorities to Gain Fast and Expansive Access to Records". Washington Post. Retrieved 2010-10-11.
- "i2 Company Management,". Retrieved 2010-10-11.
- Sink, Mindy (2002-11-03). "An Electronic Copy That Plays Hunches". New York Times.
- Cook et al., Gareth (2004-07-24). "Software Helps Police Draw Crime Links". Boston Globe.
- Thornton, Susan (2008-03-06). "COPLINK helping catch more bad guys". Denver Post. Retrieved 2010-10-11.
- "IACP/Motorola Webber Seavey Award: Quality in Law Enforcement: 2003 Abstracts". 2003. Retrieved 2010-10-12.
- Darcy, Darlene (2009-07-02). "i2 Inc. acquires Knowledge Computing Corp.". Washington Business Journal. Retrieved 2010-10-11.
- "Hsinchun Chen's Tech Spinoff Bought by IBM,". Retrieved 2012-03-16.
- Groc, Isabelle (2008-02-27). "The Online Hunt for Terrorists: Researchers are using Web spiders to track down terrorists online". PC Magazine. Retrieved 2010-10-12.
- Rotstein, Arthur (2007-11-11). ""Dark Web" tool seeks online terrorists". Business Week.
- National Science Foundation (2007-08-07). "Award Abstract #0709338: CRI:CRD - Developing a Dark Web Collection and Infrastructure for Computational and Social Sciences". Retrieved 2010-11-12.
- National Science Foundation (2007-07-18). "Award Abstract #0730908: EXP-LA: Explosives and IEDs in the Dark Web: Discovery, Categorization, and Analysis". Retrieved 2010-11-12.
- Rehmeyer, Julie (Jan 13, 1007). "Tiny Behavioral Differences Can Reveal Your Identity Online". Science News 171: 2. doi:10.1002/scin.2007.5591710210.
- "Global Jihad Online: Terrorist Networks Are More Wired Than Ever (Section: START: Infoporn)". Wired Magazine 14: 12. December 1, 2006.
- "The Future of Terrorists". Discover Magazine. July 2006.
- "Trolling for Terrorists". Toronto Star. Sep 8, 2006.
- "NSF Award Abstract #1314631,". Retrieved 2014-01-14.
- "NSF Award Abstract #1303362,". Retrieved 2014-01-17.
- "AZSecure Cybersecurity Fellowship Program,". Retrieved 2014-01-17.
- "Smart Health and DiabeticLink Research,". Retrieved 2014-01-17.
- "Hsinchun Chen's Exciting Year - A Recap,". Retrieved 2014-01-17.
- "Caduceus Intel,". Retrieved 2014-01-17.
- "MISQ Paper of the Year Recipients,". Retrieved 2012-03-16.
- "Distinguished Alumni,". Retrieved 2014-03-24.
- "100 Days of Science: UA professor, TPD Advanced Crime Analysis,". Retrieved 2012-08-17.