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Theodore B. Trafalis

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Theodore Trafalis


Contact Information

Office: CEC 116-D
Phone: (405) 325-3721
Links: Curriculum Vitae

Ph.D., Industrial Engineering, Purdue University
M.S., Industrial Engineering, Purdue University
M.S., Mathematics, Purdue University
B.S., Mathematics, University of Athens

Theodore Trafalis is professor in the School of Industrial Engineering at the University of Oklahoma. He earned his BS in Mathematics from the University of Athens, Greece, the MS, MSIE, and PhD in Operations Research from Purdue University. He was listed in the 1993/1994 edition of Who’s Who in the World and was a visiting Assistant Professor at Purdue University (1989-1990), an invited Research Fellow at Delft University of Technology, Netherlands (1996), a visiting Associate Professor at Blaise Pascal University, France and at the Technical University of Crete (1998). He was also an invited visiting Associate Professor at Akita Prefectural University, Japan (2001) and Senior Researcher at the Institute of Informatics and Telecommunications, National Center for Scientific Research "Demokritos", Athens, Greece (2007). Professor Trafalis received the National Science Foundation (NSF) Research Initiation Award in 1991 and the Regents Award at the University of Oklahoma for his research activities in 2004. He is chief editor of Intelligent Control and Automation and participates on the editorial board of Technology and Investment, and Circuits and Systems, an associate editor of Computational Management and The Journal of Heuristics and have been on the Program Committee of several international conferences in the field of intelligent systems, data mining and optimization, on which his research interest is concentrated. He has been continuously funded through NSF and the NOAA, National Weather Service. He has published more than 150 articles in journals and conference proceedings, received several awards for his papers, 10 edited books/book chapters, and made over one hundred technical presentations.

Operations research/management science
Mathematical programming
Interior point methods
Multiobjective optimization
Control theory
Computational and algebraic geometry
Artificial neural networks
Kernel methods
Evolutionary programming
Global optimization