Invited Speakers

Paul P.Wang, Ph.D

Professor

Department of Electrical and Computer Engineering

Pratt School of Engineering

Box 90291

Duke University

Durham ,North Carolina ,27708,U.S.A.


About Professor Paul P.Wang


Professor Paul P.Wang was born in Bamboo Village,Fujian,China on May 8,1936,or Lunar March 18,1936.After he received B.Sc from National Taiwan University and M.Sc degree from University of New Brunswick,he studied at the Ohio State majoring EE and Control Engineering and graduated in 1965.Then he worked as a MTS at Bell Telephone Laboratories at Holmdel,NJ,from 1965-68.,doing research on communication systems,OR and economic & management systems.

From 1968 up to present,he has been on the faculty of Electrical and Computer Engineering [68-70,Assistant Professor,70-75,Associate Professor,75-05,Professor,05-present,Professor Emeritus].Professor Wang has advised many PhD and M.Sc graduate students,Post Doctoral too.His research interest include modern control,pattern recognition,image analysis,intelligent systems,fuzzy sets,fuzzy logic and mathematics of uncertainty.His research with his student Masaki Togai [M.Sc,77,PhD,81,Founder,TIL,Inc]eventually led to the fabrication of the very first Fuzzy Computer Chip at Bell Labs. Wang also served as a consultant for many major U.S. Corporations including IBM,Grumman, AT&T; Technology.He also served on the boards of directors on several U.S and International Corporations.

He served as the vice-chair of IEEE Technical Committee of Supercomputing Applications (TCSA) until 2004, currently is the chair of IEEE Technical Committee of Scalable Computing (TCSC), the chair of IEEE Task force on Ubiquitous Computing and Intelligence. He is also in the executive committee of IEEE Technical Committee of Self-Organization and Cybernetics for Informatics, and of IFIP Working Group 10.2 on Embedded Systems, and of IEEE Technical Committee of Granular Computing.

In addition,professor was the EiC for Information Science Journal for two decades,founder of New Mathematics & Natural Computing Journal.,and as an Associate Editor for ten other journals.He also published many journal papers and the author,co-author and editor of 14 books.

Finally,he was an air force second lieutenant of ROC.




Mathematics of Uncertainty for Intelligent Systems


It took only four and half decades for fuzzy set and logic to be a part of mainstream of some academic disciplines and its evolution process has been truly fascinating and colorful,sometime unpredictable,sometime can be quite frustrated. One puzzling question to be asked has been ,"Why there was much opposition to the growth and the development of this seemingly really needed theory,especially by invoking the philosophy of pragmatism?" This question,actually,can easily be answered by studying the history of mathematics and the history of philosophy.

To compare with another example,it took the theory of probability and statistics no less than four and half centuries to become a mainstream in education systems and economics of our society [job creations]. The main lesson we learn from this study ,however,is very significant ,to say the least. By invoking the Principia Mathematica of the Bertrand Russell and the works of several important mathematicians and philosophers, it is perhaps prudent to say that the development of the mathematics of uncertainty as a new identity,of which the probability theory has been the oldest member and together with the theory of possibility are the two most important members.We also believe there may be more members to be discovered in the future!

In responding to the need of encouraging the further development of the mathematics of uncertainty, a group of more than one hundred researchers got together in 2005 at the Salt Lake City to establish an association SMU,Society for Mathematics of Uncertainty, with a chartered 'mission statement' [ www.math-uncertainty.org ].In the mean time,some strategic plan for action has been laid out as well.