Hsinchun Chen

In 2005, Chen was ranked #8 in publication productivity in Information Systems (CAIS 2005),[4] #1 in Digital Library research (IP&M 2005),[5] and #9 in a list of the "Top 32" most productive information systems researchers (EJIS 2007)[6] in three bibliometric studies. In 2008, Chen was recognized as one of the top-ranked authors in the Management Information Systems field.[7] His "H-index" score from Google Scholar is 90 (as of December 2017).

Chen has authored or edited more than 40 books and conference proceedings, 30 book chapters, 280 SCI journal articles, and 180 refereed conference articles. His 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).

In 1997, Chen began development of the COPLINK software,[8] which supports information sharing, analysis, and visualization of law enforcement data. He founded Knowledge Computing Corporation (KCC) to commercialize COPLINK,[9] which then entered the market in 2002[10] and is now used in thousands of law enforcement agencies across the United States.[11] COPLINK's functions have been described in numerous local, regional, and national sources including the New York Times,[12] the Boston Globe,[13] and the Denver Post.[14] In 2003, COPLINK was named a finalist for the IACP/Motorola Webber Seavey Award: Quality in Law Enforcement.[15] In July 2009, KCC merged with i2 Inc.,[16] a market leader in security analytics. In September 2011, the KCC/i2 firm was acquired by IBM for $500 million.[17] In October 2017, IBM sold Coplink to Forensic Logic.[18]

Chen 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.[19] One software program developed as part of the project, "Writeprint," aims to support authorship identification of online postings and other writings.[20] The Dark Web project is supported by grants from the National Science Foundation[21][22] and other federal agencies, and has been recognized in the national press including Science News, Wired Magazine, Discover Magazine, and the Toronto Star.[23][24][25][26]

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).[27] 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).[28] 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.[29]

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.[30] DiabeticLink research includes information extraction, sentiment analysis, and social network analysis to be integrated into the DiabeticLink portal. SilverLink is being developed in the U.S., China, and Taiwan to support senior citizens living independently. SilverLink's capabilities include a home-health system that monitors fall detection, daily health status, and activity levels, and can alert caregivers in the event of anomalous situations.[31] Chen also founded Caduceus Intelligence Corporation (CIC), a UA spinoff company working in the area of healthcare information systems.[32] CIC lists web analytics, smart health, patient support, and knowledge discovery as its areas of expertise.[33]

As part of ongoing work in intelligence and security informatics, Chen was awarded over $1.4M from NSF for a three-year pilot demonstration project to make available data and analysis tools to serve information and cyber security researchers.[34] The funds are to support the creation of an archive of open source and other data, such as network data, data from honeypots, hacker forums, phishing data, and security-related tweets, in numerous languages including English, Arabic, French, Russian, and more. The project is also intended to provide tools and support for social network analysis and data visualization.[35][36] The project is intended to serve individuals working in "academia, government, and industry to share data, information, and expertise relevant to research in intelligence and security informatics."[37]