The AI Lab is known for its adaptation and development of scalable and practical artificial intelligence, machine learning, statistical  analysis, computational linguistics, and visualization techniques.

Our interdisciplinary work would not be possible without the informed expertise of our numerous collaborators, and we are fortunate to have worked with many talented and dedicated colleagues over the years.   Our past and present collaborators include the following:

Hacker Web and Other Cybersecurity and Security Initiatives

  • Dr. Paulo Goes, University of Arizona, Management Information Systems Department
  • Dr. Jay Nunamaker, University of Arizona, Management Information Systems Department
  • Dr. Mark Patton, University of Arizona, Management Information Systems Department
  • Dr. Salim Hariri, University of Arizona, Electrical and Computer Engineering
  • Dr. Tom Holt, Michigan State University, Criminal Justice
  • Dr. Ahmed Abbasi, University of Virginia, McIntire School of Commerce
  • Dr. Paul Hu, University of Utah, Operations and Information Systems
  • Dr. Bhavani Thuraisingham, University of Texas at Dallas, Computer Science
  • Dr. Chris Yang, Drexel University, iSchool


Smart Health, DiabeticLink and SilverLink

  • Dr. Randall Brown, Veterans Administration, Tucson, Arizona


Dark Web Projects

  • Dr. Marc Sageman, Foreign Policy Research Institute
  • Dr. Edna Reid, DOJ
  • Dr. Johnny Ryan, The Institute of International and European Affairs (IIEA)
  • Rick Eaton, Simon Wiesenthal Center
  • Dr. Joshua Sinai, The Analysis Corporation
  • Dr. Shlomo Argamon, Illinois Institute of Technology
  • Chip Ellis, Memorial Institute for the Prevention of Terrorism (MIPT)
  • Rex Hudson, Library of Congress
  • Dr. Chris Yang, Drexel University
  • Dr. Gabriel Weimann, University of Haifa, Israel
  • Dr. Mark Last, Ben-Gurion University, Israel
  • Drs. Henrik Larsen and Nasrullah Memon, Aalborg University, Denmark
  • Dr. Katrina von Knop, George Marshall Center, Germany
  • Dr. Jau-Hwang Wang and Robert Chang,  Central Police University, Taiwan
  • Dr. Ee peng Lim, Singapore Management University, Singapore
  • Dr. Feiyue Wang, Chinese Academy of Sciences, China
  • Dr. Michael Chau, Hong Kong University


Coplink and BorderSafe

  • Detective Tim Petersen, Tucson Police Department
  • Lt. Jenny Schroeder, Tucson Police Department
  • Sgt. Chuck Violette, Tucson Police Department
  • Daniel Casey, Tucson Police Department


Medical Informatics, Bioinformatics, and Biosurveillance

  • Dr. Daniel Zeng, University of Arizona, Management Information Systems
  • Sherrilynne S. Fuller, University of Washington
  • Carol Friedman, Columbia University
  • William Hersh, Oregon Health and Science University
  • Wendy Chapman, University of Utah, School of Medicine


Current Affiliated Members

Randall Brown

Research Associate in the Management Information System Department and Artificial Intelligence Lab at the Eller College of Management
Assistant Professor of Clinical Medicine in the Department of Medicine at the University of Arizona Medical Center

Paul Hu

Professor, University of Utah

Lubaina Maimoon

Product Manager, Caduceus Intelligence Corporation

Chris Yang

Associate Professor, Drexel University

Junming Yin

Assistant Professor of Management Information Systems

Area of Expertise

  • Statistical machine learning
  • Large-scale network analysis
  • Nonparametric and high-dimensional statistical inference
  • Computational biology, statistical genetics
520.626.2961 office
520.621.8105 fax
McClelland Hall 430BB

Daniel Zeng

Gentile Family Professor of MIS

Area of Expertise

  • Software agents and multi-agent systems
  • Collaborative information and knowledge management
  • Recommender systems
  • Social computing
  • Digital economic institutions
  • Automated negotiation and auction
  • Security informatics
  • Spatio-temporal data analysis
  • Online surveillance
520.621.4614 office
520.621.8105 fax
McClelland Hall 430K

Bin Zhang

Assistant Professor of MIS
Visiting Research Fellow, Carnegie Mellon University

Area of Expertise

  • Large social network analysis
  • Statistical modeling for social network problems
  • Social media, technology diffusion and business analytics
520.626.9239 office
520.621.8105 fax
McClelland Hall 430Z