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IST Directory John Yen
John  Yen

John Yen

  • Director, Strategic Research Initiatives
  • Professor of Information Sciences and Technology
  • Affiliate Professor of Computer Science and Engineering, The College of Engineering
313J Information Sciences and Technology Building
University Park , PA 16802
Office Phone: (814) 865-6174


  1. Ph.D., Computer Science University of California, Berkely 1986
  2. M.S., Computer Science University of Santa Clara 1982
  3. B.S., Electrical Engineering, Honors National Taiwan University 1980


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.


For more information about Yen's research and his publications, see



Fuzzy Logic: Intelligence, Control, and Information

Book: Fuzzy Logic: Intelligence, Control, and InformationBy John Yen and Reza Langari

Comprehensive and up-to-date coverage. Provides examples and exercises that are related to real world problems. Uses Fuzzy Logic Toolbox for MATLAB to demonstrate exemplar applications and to develop hands-on exercises. Provides design guidelines and design methods for developing fuzzy logic applications. Provides a modern perspective of the fuzzy logic technology. Introduces core concepts and techniques gently in two steps. Provides relevant background materials that encompass a wide range of disciplines. Introduces the connection between fuzzy logic and related ideas, methods, and theories developed in other disciplines (e.g., artificial intelligence, probability theory, control, model identification, etc.). Summarizes key concepts at the end of each chapter. Highlights motivations and benefits of employing fuzzy logic in control engineering and information systems. Discussion of open research issues and their implications. A chapter is devoted to the subject of "How to design a fuzzy system." In addition, several other chapters (e.g., the chapters on fuzzy model identification and neuro-fuzzy systems) introduce techniques for automating decisions in the design process using training data (i.e., examples) and learning algorithms. Advanced topics are separated from the basic material in the chapter that immediately follows.
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Penn State's College of Information Sciences and Technology
332 Information Sciences and Technology Building
University Park, PA 16802 - 6823
Phone: 814-865-3528
Fax: 814-865-5604
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