DANIEL DAJUN ZENG

Assistant Professor in Management Information Systems
The University of Arizona

• Email: zeng@bpa.arizona.edu
• Office Phone: +1 (520) 621-4614 Location: McClelland Hall 430K
• FAX: +1 (520) 621-2433
• Postal Address: Department of MIS, University of Arizona, Tucson, AZ 85721

• Ph.D. in Industrial Administration(Dec., 1998), Graduate School of Industrial Administration and The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA
• M.S. in Industrial Administration, 1994, GSIA, Carnegie Mellon University, Pittsburgh, PA
• B.S. in Operations Research/Economics with minor in Computer Science, 1990, University of Science and Technology of China, Hefei, China

• MIS 301: Data Structures and Algorithms, University of Arizona, Spring 2000
• MIS 301: Data Structures and Algorithms, University of Arizona, Fall 1999 and Spring 1999
• Production I, Carnegie Mellon University, Summer 1997

• Software Agents and Multi-Agent Systems, Distributed Problem Solving, Group Decision Making
• Electronic Commerce, Automated Negotiation and Auction, Bayesian Analysis
• Computer Supported Cooperative Work (CSCW), Research and Team Collaboration
• Supply Chain Management, Supply Chain Network Configuration, Supply Contracts, Real Options
• Machine Learning, Intelligent Information Retrieval and Integration

• Agent-Facilitated Real-Time Flexible Supply Chain Structuring, with Katia Sycara, Proceedings of Agents-99 Workshop on Agent-based Decision-Support for Managing the Internet-Enabled Supply-Chain, 1999.
• Benefits of Learning in Negotiation, with Katia Sycara, appeared in International Journal of Human Computer Systems, Vol. 48, pp. 125-141, 1998.
• Coordination of Multiple Intelligent Software Agents, with Katia Sycara, appeared in International Journal of Cooperative Information Systems, Vol. 5, No. 2, pp. 181-211, 1996.
• Distributed Intelligent Agents, with Katia Sycara, Keith Decker, Anandeep Pannu, and Mike Williamson, appeared in IEEE Expert, Vol, 11, No. 6, pp. 36-46, 1996.
• Using Case-Based Reasoning to Acquire User Scheduling Preferences that Change over Time, with Katia Sycara and Kazuo Miyashita, appeared in the Proceedings of the Eleventh IEEE Conference on Artificial Intelligence Applications (CAIA '95), Los Angeles, 1995.