Hsinchun Chen

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  39 Ph.D. students in the past 37 years, most of them placed at peer Research I institutions. Four of his Ph.D. students won the prestigious ICIS ACM SIGMIS Doctoral Dissertation Award (Z. Huang 2005, S. Samtani 2019, R. Ebrahimi 2021, B. Ampel 2024). 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 116 (60,000+ 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 40+ 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 served as Scientific Advisor and then Head of AI4BI at TSMC (on-leave) for 2022-2025.

Research Summary

• Visualization of Dr. Chen's research publications, 1989-2019
• Visualization of Dr. Chen's research grants
• Visualization of Dr. Chen's CV

Courses

• MIS 464 Data Analytics
• MIS 611-D Topics in Data and Web Mining
• Class Resources Page

Publications

• M. Ebrahimi, Y. Chai, H. Zhang, and H. Chen, "Heterogeneous Domain Adaptation with Adversarial Neural Representation Learning: Experiments on E-Commerce and Cybersecurity," IEEE Transactions on Pattern Recognition and Machine Intelligence (TPAMI), Volume 45, Number 2, Pages 1862-1875, 2023.

• S. Samtani, H. Zhu, B. Padmanabhan, Y. Chai, H. Chen, and J. F. Nunamaker, “Deep Learning for Information Systems Research,” Journal of Management Information Systems, Volume 40, Number 1, Pages 271-301, 2023.

• B. Ampel, S. Samtani, H. Zhu, and H. Chen, "Creating Proactive Cyber Threat Intelligence with Hacker Exploit Labels: A Deep Transfer Learning Approach," MIS Quarterly, Volume 48, Number 1, Pages 137-166, 2024.

• B. Ampel, S. Samtani, H. Zhu, H. Chen, and J. F. Nunamaker, “Improving Threat Mitigation Through a Cybersecurity Risk Management Framework: A Computational Design Science Approach,” Journal of Management Information Systems (JMIS), Volume 41, Number 1, Pages 236-265, 2024.

• S. Ullman, S. Samtani, H. Zhu, B. Lazarine, H. Chen, and J. F. Nunamaker, “Enhancing Vulnerability Prioritization in Cloud Computing Using Multi-View Representation Learning,” Journal of Management Information Systems (JMIS), Volume 41, Number 3, Pages 708-743, 2024.

• F. Y. Lin, S. Samtani, H. Zhu, L. Brandimarte, and H. Chen, "Automated Analysis of Changes in Privacy Policies: A Structured Self-Attentive Sentence Embedding Approach," MIS Quarterly, Volume 48, Number 4, Pages 1453-1482, 2024.

• S. Yu, Y. Chai, S. Samtani, H. Liu, and H. Chen, “Motion Sensor-Based Fall Prevention for Senior Care: A Hidden Markov Model with Generative Adversarial Network (HMM-GAN) Approach,” Information Systems Research, Volume 35, Number 1, Pages 1-15, 2024.

• B. Ampel, C. Yang, J, Hu, and H. Chen, “Large Language Models for Conducting Advanced Text Analytics Information Systems Research,” ACM Transactions on Management Information Systems (TMIS), Volume 16, Number 1, Pages 1-27, 2025.

• M. Ebrahimi, J. Hu, N. Zhang, J. F. Nunamaker, and H. Chen, “Defending Deep Learning-Based Raw Malware Detectors Against Adversarial Attacks: A Sequence Modeling Approach,” Journal of Management Information Systems (JMIS), Volume 42, Number 4, Pages 1118-1148, 2025.

• R. Ebrahimi R., J. Pacheco J., J. Hu, H. Chen, “Learning Contextualized Action Representations in Sequential Decision Making for Adversarial Malware Optimization,” IEEE Transactions on Dependable and Secure Computing (TDSC), Volume 22, Number 3, Pages 2086-2101, 2025.

• M. Ebrahimi, Y. Chai, W. Li, J. Pacheco, and H. Chen, “RADAR: A Framework for Developing Adversarially Robust Cyber Defense AI Agents with Deep Reinforcement Learning,” MIS Quarterly, Volume 49, Number 4, Pages 1385-1416, 2025.

Research Funding

Dr. Hsinchun Chen has received over 40 million dollars in research funding from the National Science Foundation, National Library of Medicine, National Institutes of Health, Department of Justice, Department of Defense, Department of Homeland Security, SAP, New Mexico Tech and Library of Congress, among others.

Journal Associate Boards

Dr. Hsinchun Chen is founding Editor-in-Chief of ACM Transactions Management Information Systems, Editor-in-Chief of Springer Security Informatics journal, and Senior Editor of MIS Quarterly. He has served on the following editorial boards: ACM Transactions on Information Systems; IEEE Transactions on Systems, Man, and Cybernetics; Decision Support Systems; Journal of the American Society for Information Science and Technology; International Journal of Digital Libraries; International Journal of Electronic Business; Journal of Information Technology and Politics; Encyclopedia of Library and Information Sciences.

Professional Associations

• Fellow, Association of Computing Machinery (ACM)
• Fellow, Institute of Electrical and Electronic Engineers (IEEE)
• Fellow, American Association for the Advancement of Sciences (AAAS)

Awards and Honors

• Fellow: IEEE, AAAS, and ACM
• IEEE Big Data Security Pioneer Award, 2022
• AIS Impact Award, 2020
• Lead Program Director, NSF, Smart and Connected Health, 2014-2015
• Thomas R. Brown Chair Professor of Technology and Management, University of Arizona, February 2013-present
• University of Arizona Innovator of the Year, 2013
• Arizona Centennial Top 100 Scientists, 2012
• IEEE Research Achievement and Leadership Award in Intelligence and Security Informatics, 2011
• Finalist, AZ Tech Council’s Governor’s Innovation of the Year Award, 2011
• MIS Quarterly Best Paper, 2010