AI LAB Ph.D. ALUMNI

 

Over the past 30+ years, Dr. Hsinchun Chen has supervised (as dissertation advisor) and graduated 30+ Ph.D. students at UA/Eller/MIS, including:

  1. Randy J. Johnson, “A Cognitive Approach to the Representation of Managerial Competitive Intelligence Knowledge,” 1994
  2. Richard E. Orwig, “A Graphical Self-Organizing Approach to Classifying Electronic Meeting Output,” 1995 (Susquehanna University)
  3. Andrea L. Houston, “Information Classification: Usability Studies of Two Automatic Approaches,” 1998 (Louisiana State University, retired)
  4. Dmitri Roussinov, “Information Foraging Through Automatic Clustering and Summarization: A Self- organizing Approach,” 1999, CHI 1999 Consortium Student (Syracuse University, Arizona State University, University of Strathclyde, Scotland).
  1. Dorbin T. Ng, “A Concept Space Approach to Semantic Exchange,” 2000 (Carnegie Mellon University; Chinese University of Hong Kong)
  2. Bin Zhu, “Information Visualization for Knowledge Repositories: Applications and Impacts,” 2002, CHI 2001 Consortium Student (Boston University; Oregon State University).
  3. Gondy Leroy, “Facilitating Knowledge Discovery by Integrating Bottom-up and Top-Down Knowledge Sources: A Text Mining Approach,” 2003 (Claremont Graduate University; University of Arizona)
  4. Michael Chau, “Searching and Mining the Web for Personalized and Specialized Information,” 2003 (Hong Kong University)
  5. Wingyan Chung, “An Automatic Text Mining Framework for Knowledge Discovery on the Web,” 2004 (University of Texas at El Paso; University of Central Florida)
  6. Thian-Huat Ong, “Language and Domain-Independent Knowledge Maps: A Statistical Phrase Indexing Approach,” 2004 (Cal State University at Sacramento)
  7. Chienting Lin, “Examining Technology Usability and Acceptance in Digital Government: A Case Study in Law Enforcement,” 2004 (Pace University)
  8. Zan Huang, “Graph-based Analysis for E-Commerce Recommendation,” 2005, International Conference on Information Systems (ICIS) 2005 Best Dissertation Award, December 2005 (Penn State University, industry)
  9. Jennifer Xu, “Mining Static and Dynamic Structural Patterns in Networks for Knowledge Management: A Computational Framework and Case Studies,” 2005 (Bentley College)
  10. Byron Marshall, “Concept Mapping in Informal Node-Link Knowledge Representations,” 2005 (Oregon State University)
  11. Alan Gang Wang, “Entity Matching for Intelligent Information Integration,” 2006 (Virginia Tech)
  12. Yilu Zhou, “Supporting Multilingual Internet Searching and Browsing,” 2006 (George Washington University, Fordham University).
  13. Jialun Qin, “Facilitating Knowledge Discovery by Mining the Content and Link Structure of the Web,” 2006 (University of Massachusetts at Lowell)
  14. Dan M. McDonald, “Combining Text Structure and Meaning to Support Text Mining,” 2006 (University of Utah, Utah Valley University)
  15. Jason Jiexin Li, “Feature Construction, Selection, and Consolidation for Knowledge Discovery,” 2007 (Drexel University; West Washington University)
  16. Rob Schumaker, “Knowledge Acquisition, Delivery and Prediction through Text Mining,” 2007 (Iona College, University of Texas at Tyler)
  17. Sidd Kaza, “Instance, Evolution, and Predictive Modeling of Social Networks,” 2008 (Towson University)
  18. Ahmed Abbasi, “Categorization, Analysis, and Visualization of Computer-Mediated Communication and Electronic Markets,” 2008 (University of Wisconsin at Milwaukee, University of Virginia, University of Notre Dame)
  19. Xin Li, “Graph Mining for Information Systems,” 2009 (City University of Hong Kong)
  1. Hsinmin Lu, “Surveillance in the Information Age: Text Quantification, Anomaly Detection, and Empirical Evaluation,” 2010 (National Taiwan University)
  2. Gavin Yulei Zhang, “Knowledge Discovery in Social Media: Physical World, Online World, and Virtual World,” 2011 (Northern Arizona University)
  3. Mandy Yan Dang, “Theory-informed Design and Evaluation of Web-based Knowledge Management Systems,” 2011 (Northern Arizona University)
  4. David Zimbra, “Stakeholder and Sentimental Analysis in Web Forums,” 2012 (Santa Clara University)
  5. Yukai Lin, “Health Analytics and Predictive Modeling: Four Essays on Health Informatics,” 2015 (Florida State University, Georgia State University)
  6. Shan Jiang, “Statistical Modeling of Multi-Dimensional Knowledge Diffusion Networks: An ERMG- based Framework,” 2015 (University of Massachusetts at Boston)
  7. Victor Benjamin, “Securing Cyberspace: Analyzing Cybercriminal Communities Through Web and Text Mining Perspectives,” 2016 (Arizona State University)
  8. Xiao Liu, “Health Data Analytics: Data and Text Mining Approaches for Pharmacovigilance,” 2016 (University of Utah, Arizona State University)
  9. Weifeng Li, “Towards Secure and Trustworthy Cyberspace: Social Media Analytics on Hacker Communities,” 2017 (University of Georgia)
  10. Sagar Samtani, “Developing Proactive Cyber Threat Intelligence from the Online Hacker Community: A Computational Design Science Approach,” 2018 (University of South Florida; Indiana University); ACM SIGMIS Doctoral Dissertation Award, 2019
  11. Shuo Yu, “Mobile Health Analytics for Senior Care: A Data Mining and Deep Learning Approach,” 2019 (Texas Tech)
  12. Hongyi Zhu, “Developing Smart and Unobstrusive Mobile Home Care; A Deep Learning Approach,” 2019 (UT San Antonio)