Dr. Patton is lecturer in the University of Arizona’s Management Information Systems Department. His research interests include deception detection, security issues related to the Internet of Things (IoT), and network security. He also supports and administers the University of Arizona AZSecure Cybersecurity Program.
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Dr. Hsinchun Chen is University of Arizona Regents’ Professor and Thomas R. Brown Chair in Management and Technology in the Management Information Systems (MIS) Department, and Professor of Entrepreneurship & Innovation in the McGuire Center for Entrepreneurship at the College of Management of the University of Arizona. Dr. Chen is the founding director of the Artificial Intelligence Lab and has served as a faculty of the UA MIS department (ranked #3 in MIS) since 1989. Dr. Chen is a Fellow of IEEE, ACM, and AAAS.
Faculty initiatives in cybersecurity include Dr. Hsinchun Chen's Hacker Web research, funded by the National Science Foundation's Secure and Trustworthy Cyberspace program. The goal is to develop an integrated and scalable computational social media collection and analytics framework in support of the cyber attacker community analysis. The research team is addressing important social science research questions of relevance to hacker skills, community structure and ecosystem, contents and artifacts, and cultural differences.
Dr. Mark Patton's research focuses on the cybersecurity risks inherent in the Internet of Things. As Program Administrator of the UA's Scholarship for Service program (which received one of NSF's largest program awards), he is also mentoring graduate students in cybersecurity-related research and development.
Dr. Jay Nunamaker's work in BORDERS encompasses research areas that respond to DHS identified interest areas and contribute to the public good, BORDERS focuses on three research areas: (1) Detection, Identification and Screening; (2) Sensor Networks and Communication; and (3)
Immigration Policy and Enforcement. Current projects include biometric identification, an examination of checkpoint effectiveness, and several studies relating to immigration and migration, among others.
For more information, see the MIS website at http://mis.eller.arizona.edu/, the website of the Artificial Intelligence Lab at http://ai.arizona.edu/, and the website of for BORDERS at http://borders.arizona.edu/cms/