- About the Lab
- Recognition
- Research and Demos
- Overview
- Business Intelligence and Analytics
- Intelligence and Security Infomatics
- Dark Web Terrorism Research
- Sports Data Mining
- COPLINK / BorderSafe / RISC
- BioPortal™ for Disease Surveillance
- Knowledge Mapping for Nanotechnology
- Authorship Analysis
- Genomic Pathway Visualizer
- Digital Libraries & Multilingual Systems
- Information Analysis and Visualization
- Spiders are Us
- OOHAY - Visualizing the Web
- Workgroup and Collaborative Reporting
- Papers and Conferences
- Funding
- People
- News and Events
- Resources for MIS and AI Lab
- Photo Gallery
- Contact Us
- AI Lab Intranet (log in required)
Ming Yang
Ming Yang is a visiting scholar in the AI Lab at the MIS department of the University of Arizona. His research interests include Business Intelligence, E-Commerce Security Analysis, E-commerce Marketing and Survey. He is a Ph.D candidate at Harbin Institute of Technology (HIT). He also obtained an M.S in Management Science and Engineering from HIT in 2008.
