John Yen

Yen spent three years at USC Information Sciences Institute (ISI) to be a leading architect for an AI architecture that pioneers a knowledge-level integration of a logic-based knowledge representation scheme with production rules. Before joining IST in 2001, he was a Professor of Computer Science and the Director of Center for Fuzzy Logic, Robotics, and Intelligent Systems at Texas A&M University. He coauthored a textbook, "Fuzzy Logic: Intelligence, Control, and Information" (Prentice Hall, 1999). Yen received the NSF Young Investigator Award in 1992. He is a Fellow of IEEE.

Research and Teaching

John Yen's long-term research interest is the capturing and modeling of human knowledge in software agents for supporting decision makings, for improving the productivity and adaptability of global enterprises, and for supporting individual/team learning in the digital information age. His current research activities include developing agent-based teamwork model and self-adaptive personalization technologies. Yen has also been interested in the mining/learning of large-scale fuzzy knowledge (i.e., knowledge with imprecisions). Yen has been a PI/co-PI of two multi-million dollar research projects on intelligent agents: (1) a multi-million dollar project funded by Army Digitization Office to develop agent-based models that capture the knowledge and process of TOC (tactical operation center) for the purpose of simulation, training, and decision supports; and (2) a $3 million MURI project, funded by DoD/ AFOSR, on developing agent-based teamwork model for training AWACS staff. He is also leading other research projects regarding agents and Web technologies through funding from Army Research Laboratory and Dell.

Publications:

For more information about Yen's research and his publications, see ist.psu.edu/yen.

Books

Fuzzy Logic: Intelligence, Control, and Information

By John Yen and Reza Langari