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 Yoh-Han Pao, Pd.D.
yxp@cwru.edu
Phone: (216)368-4040
Biography
Professor Pao's research seeks to combine the pattern recognition and artificial intelligence approaches to information processing, with emphasis on the solution of significant real-world problems. In recent years he has contributed to the development of adaptive pattern recognition, especially as practiced with the use of neural-net computing. His book on this subject, published by Addison Wesley, has proved to be helpful in the development of that methodology. Past research contributions have included the Walsh-Function Holographic content addressable memory and the Functional-Link Net for learning of mappings between pattern spaces. Present activity includes research into the Episodal Associative Memory, an approach to the management and use of information in context. Applications areas include neural-net processing of underwater acoustic signals, monitoring and control of complex systems, and associative memories for the management of manufacturing information. Professor Pao is on the Editorial Boards of Pattern Recognition, Pattern Recognition and Artificial Intelligence, IEEE Expert, and others. Professor Pao was the founding Director of the Center for Automation and Intelligent Systems Research at CWRU and remains an active participant of that Center's activities. Professor Yoh-Han Pao is co-founder and President of AI WARE Inc., a Beachwood, OH computer software company specializing in intelligent systems for industry and business.
Recent Publications
- Y.H. Pao, 1989. Adaptive Pattern Recognition and Neural Networks, Addison-Wesley, Reading, MA.
- P.P.C. Yip and Y.H. Pao, 1994. A guided evolutionary simulated annealing approach to the quadratic assignment problem, IEEE Transactions on Systems, Man and Cybernetics, Vol. 24, No. 9, PP.1383-1387.
- Y.H. Pao and P.P.C. Yip, 1995. Neural net process monitoring and optimal control. Chapter in Handbook on Fuzzy Logic and Neural Networks, edited by C.H. Chen, McGraw-Hill, N.Y.
- M. Nyberg and Y.H. Pao, 1995. Automatic optimal design of fuzzy systems based on universal approximation and evolutionary programming. Chapter in Fuzzy Logic and Intelligent Systems, edited by H.L. Hua and M. Gupta, Kluwer Academic Publishers, Norwell, MA.
- P.P.C. Yip and Y.H. Pao, 1995. Combinatorial optimization with use of guided evolutionary simulated annealing, IEEE Transactions on Neural Networks, Vol. 6, No. 2, pp. 290-295.
- Y.H. Pao and C.Y. Shen, 1997. Visualization of pattern data through learning of non-linear variance-constrained dimension-reduction Mapping, Pattern Recognition, vol. 30, No.10, pp. 1705-1717.
- Y.H. Pao, 1997. Dimension reduction, feature extraction and interpretation of data with netwrok computing, in Studies in Pattern Recognition: A memorial to the late Professor King-Sun Fu, H. Freeman, Editor, World Scientific Publishing Company. Also in International Journal of Pattern Recognition and Artificical Intelligence, Vol. 10, pp. 521-535.
- Y.H. Pao and B.F. Duan, 1998. Evolving a juggler: using the inverted pendulum/cart control task to investigate issues of learning in coupled systems, Proceedings of the 2nd International Conference on Neural Networks and Brain '98, October 27-30, Beijing, China.
- Y.H. Pao and Z. Meng, 1998. Visualization and the understanding of multidimensional data, Engineering Applications of Artificial Intelligence, Vol. 11, pp. 659-667.
Links
Dr. Pao's Group
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