Fred Petry

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Fred Petry

Dr. Fred Petry received BS and MS degrees in physics and a Ph.D. in computer and information science from The Ohio State University in 1975. He has been on the faculty of the University of Alabama in Huntsville and the Ohio State University and is currently a Full Professor in the Department of Electrical Engineering & Computer Science at Tulane University, New Orleans, LA. He is co-founder/director of the Center for Intelligent and Knowledge Based Systems (CIAKS) at Tulane and his recent research interest include representation of imprecision via fuzzy sets and rough sets in databases, GIS and other information systems, genetic algorithms, and specialized hardware division approaches. His research has been funded by NSF, NASA, DOE, NIH, various DOD agencies and industry. He has directed 20 Ph.D. students in these areas in the past 10 years.

Dr. Petry has over 200 scientific publications including 75 journal articles/book chapters and 5 books written or edited. His monograph of fuzzy databases has been widely recognized as the definitive volume on this topic. He is current as associate editor of IEEE Transactions on Fuzzy Systems, Neural Processing Letters and area editor of information systems for Fuzzy Sets and Systems and was general chairperson of FUZZ-IEEE'96. He received the K.S. Fu award from NAFIPS in 1986 and was selected as an IEEE Fellow in 1996 for his research on the use of fuzzy sets for modeling imprecision in databases.

Presentation Topic: Trends and Advances in Databases

By Fred Petry

Summary

Database systems have evolved from hierarchical and networks models to relational and object- oriented approaches. Object and object-relational databases are now able to effectively support more complex data environments such as found in geographical information systems (GIS) and multi-media applications. Some of the current advances to be highlighted are the integration of artificial intelligence techniques such as active databases and approaches to uncertainty representation via fuzzy set theory.

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