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:
- Randy J. Johnson, “A Cognitive Approach to the Representation of Managerial Competitive Intelligence Knowledge,” 1994
- Richard E. Orwig, “A Graphical Self-Organizing Approach to Classifying Electronic Meeting Output,” 1995 (Susquehanna University)
- Andrea L. Houston, “Information Classification: Usability Studies of Two Automatic Approaches,” 1998 (Louisiana State University, retired)
- 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).
- Dorbin T. Ng, “A Concept Space Approach to Semantic Exchange,” 2000 (Carnegie Mellon University; Chinese University of Hong Kong)
- Bin Zhu, “Information Visualization for Knowledge Repositories: Applications and Impacts,” 2002, CHI 2001 Consortium Student (Boston University; Oregon State University).
- 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)
- Michael Chau, “Searching and Mining the Web for Personalized and Specialized Information,” 2003 (Hong Kong University)
- Wingyan Chung, “An Automatic Text Mining Framework for Knowledge Discovery on the Web,” 2004 (University of Texas at El Paso; University of Central Florida)
- Thian-Huat Ong, “Language and Domain-Independent Knowledge Maps: A Statistical Phrase Indexing Approach,” 2004 (Cal State University at Sacramento)
- Chienting Lin, “Examining Technology Usability and Acceptance in Digital Government: A Case Study in Law Enforcement,” 2004 (Pace University)
- 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)
- Jennifer Xu, “Mining Static and Dynamic Structural Patterns in Networks for Knowledge Management: A Computational Framework and Case Studies,” 2005 (Bentley College)
- Byron Marshall, “Concept Mapping in Informal Node-Link Knowledge Representations,” 2005 (Oregon State University)
- Alan Gang Wang, “Entity Matching for Intelligent Information Integration,” 2006 (Virginia Tech)
- Yilu Zhou, “Supporting Multilingual Internet Searching and Browsing,” 2006 (George Washington University, Fordham University).
- Jialun Qin, “Facilitating Knowledge Discovery by Mining the Content and Link Structure of the Web,” 2006 (University of Massachusetts at Lowell)
- Dan M. McDonald, “Combining Text Structure and Meaning to Support Text Mining,” 2006 (University of Utah, Utah Valley University)
- Jason Jiexin Li, “Feature Construction, Selection, and Consolidation for Knowledge Discovery,” 2007 (Drexel University; West Washington University)
- Rob Schumaker, “Knowledge Acquisition, Delivery and Prediction through Text Mining,” 2007 (Iona College, University of Texas at Tyler)
- Sidd Kaza, “Instance, Evolution, and Predictive Modeling of Social Networks,” 2008 (Towson University)
- 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)
- Xin Li, “Graph Mining for Information Systems,” 2009 (City University of Hong Kong)
- Hsinmin Lu, “Surveillance in the Information Age: Text Quantification, Anomaly Detection, and Empirical Evaluation,” 2010 (National Taiwan University)
- Gavin Yulei Zhang, “Knowledge Discovery in Social Media: Physical World, Online World, and Virtual World,” 2011 (Northern Arizona University)
- Mandy Yan Dang, “Theory-informed Design and Evaluation of Web-based Knowledge Management Systems,” 2011 (Northern Arizona University)
- David Zimbra, “Stakeholder and Sentimental Analysis in Web Forums,” 2012 (Santa Clara University)
- Yukai Lin, “Health Analytics and Predictive Modeling: Four Essays on Health Informatics,” 2015 (Florida State University, Georgia State University)
- Shan Jiang, “Statistical Modeling of Multi-Dimensional Knowledge Diffusion Networks: An ERMG- based Framework,” 2015 (University of Massachusetts at Boston)
- Victor Benjamin, “Securing Cyberspace: Analyzing Cybercriminal Communities Through Web and Text Mining Perspectives,” 2016 (Arizona State University)
- Xiao Liu, “Health Data Analytics: Data and Text Mining Approaches for Pharmacovigilance,” 2016 (University of Utah, Arizona State University)
- Weifeng Li, “Towards Secure and Trustworthy Cyberspace: Social Media Analytics on Hacker Communities,” 2017 (University of Georgia)
- 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
- Shuo Yu, “Mobile Health Analytics for Senior Care: A Data Mining and Deep Learning Approach,” 2019 (Texas Tech)
- Hongyi Zhu, “Developing Smart and Unobstrusive Mobile Home Care; A Deep Learning Approach,” 2019 (UT San Antonio)
- Mohammadreza (Reza) Ebrahimi, “AI-Enabled Cybersecurity Analytics: Detecting and Defending Against Cyber Threats,” 2021 (University of South Florida)
- Benjamin Ampel, "Securing Cyberspace: AI-Enabled Cyber-Adversary Defense," 2024 (Georgia State University)
- Amy Fangyu Lin, "Artificial Intelligence-Enabled Information Privacy Analytics and Risk Assessment," 2024 (UT San Antonio)
- Steven Ullman, "Artificial Intelligence-Enabled Vulnerability Analysis and Management for IT Infrastructure: A Computational Design Science Approach," 2024 (UT San Antonio)