hsinchun

Dr. Hsinchun Chen graduated with a BS degree from the National Chiao-Tong University (Taiwan), MBA from SUNY Buffalo, and an MS and Ph.D. from New York University. He is a University of Arizona Regents' Professor and the Thomas R. Brown Chair Professor in Management and Technology. He is also a Fellow of ACM, IEEE, AAAS, and AIS. He received the NCTU Distinguished Alumnus Award in 2005, the IEEE Computer Society Technical Achievement Award in 2006, the INFORMS Design Science Award in 2008 and 2023, the AIS Impact Award in 2020, and the IEEE Big Data Security Pioneer Award, the UA Extraordinary Faculty Award in 2022, and the INFORMS ISS Practical Impacts Award in 2023. He was also recognized in the INFORMS ISS Nunamaker-Chen Dissertation Award. Dr. Chen had graduated 36 Ph.D. students over the past 34+ years, most of them placed at peer Research I institutions. Three of his Ph.D. students won the prestigious ICIS ACM SIGMIS Doctoral Dissertation Award (Z. Huang 2005, S. Samtani 2019, R. Ebrahimi 2021). Dr. Chen served as the lead Program Director of the Smart and Connected Health (SCH) Program at the NSF for 2014-2015, a multi-year multi-agency health IT research program of in the U.S. He is author/editor of 20+ books, 320+ SCI journal articles, and 220+ refereed conference articles covering artificial intelligence, digital library, data/text/web mining, business intelligence, technology mapping, security informatics, and health informatics. His overall h-index is 112 (58,000+ citations for 600+ papers according to Google Scholar), among the highest in MIS and top 50 in computer science. Dr. Chen is Director of the Artificial Intelligence Lab at The University of Arizona since 1989, which has received $60M+ research funding from NSF, NIH, NLM, DOD, DOJ, CIA, DHS, and other agencies (100+ grants, 50+ from NSF, as PI). He has served as Editor-in-Chief, Senior Editor or AE of major ACM/IEEE (ACM TMIS, ACM TOIS, IEEE IS, IEEE SMC), MIS (MISQ, DSS) and Springer (JASIST) journals and conference/program chair of major ACM/IEEE/MIS conferences in digital library (ACM/IEEE JCDL, ICADL), information systems (ICIS), security informatics (IEEE ISI), and health informatics (ICSH). He was the founding chair of ICADL (25+ years) and IEEE ISI (20+ years). He served on the INFORMS Publications Committee and ISR EIC Search Committee in 2021-2022. He is also a successful IT entrepreneur. His COPLINK/i2 system (with NSF and VC funding) for security analytics was commercialized in 2000 and acquired by IBM (for $500M) as its leading government analytics product in 2011. The COPLINK/i2 system is in use in 5,000+ law enforcement jurisdictions and intelligence agencies (100K+ users) in the U.S. and Europe, making significant contribution to public safety worldwide. 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 has been a visiting distinguished chair professor at several major universities in China (Tsinghua University, 2013-2016) and Taiwan (National Taiwan University, 2010-present). He is internationally renowned for leading 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, Hacker Web, and AZSecure) communities. His recent research includes SilverLink for mobile health and AZSecure for advanced cyber threat intelligence. Dr. Chen is Director of the UA AZSecure Cybersecurity Program, with $15M+ funding since 2012 from NSF SFS, SaTC, and CICI programs and CAE-CD/CAE-R cybersecurity designations from NSA/DHS. Led by SFS CyberCorps graduate students (G. Greer and R. Reyes), the Arizona Pen Testing teams placed #5 in 2020 and #4 in 2021 in the highly competitive National Cyber League (NCL) competition (10,000+ students from 500+ universities). In addition, SFS Ph.D. graduate Dr. S. Samtani (supervised by Dr. Chen) was elected in 2022 as a member of the prestigious SFS CyberCorps Hall of Fame (only 7 elected out of 5,000+ SFS graduates). The UA SFS program has placed 30+ graduates (100% placement rate) at federal agencies (NSA, FBI, DHS) and national labs (Sandia, PNNL) as cyber warriors since 2015, helping to secure cyberspace. Dr. Chen’s most recent AI4BI project involves advancing AI for BI (business intelligence) in the domain of CHIPS Act for semiconductors and high-performance computing (HPC). Dr. Chen currently serves as Head of AI4BI at TSMC (June 2024-).