Prof. Theodore B. Trafalis
The University of Oklahoma, USA
Email: ttrafalis@ou.edu
Qualifications
1989 Ph.D., Industrial Engineering,
Purdue University, USA
1984 M.Sc., Mathematics, Purdue University, USA
1982 B.Sc., Mathematics, University of Athens, Greece
Publications (Selected)
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Trafalis, T.B.,
O.O. Oladunni and M. Richman, “Linear Classification Tikhonov Regularization
Knowledge-based Support Vector Machine for Tornado Forecasting,” submitted to
Computational Management Science, in press, 2010.
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Adrianto, I. and
T.B. Trafalis, “The p-center Machine for Regression analysis”, Optimization
Methods and Software, accepted, 2009.
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Gilbert R. C.,
T.B. Trafalis, M. B. Richman and S. Lakshmivarahan, “Real-time Prediction Using
Kernel Methods and Data Assimilation”, series in Intelligent Engineering
Systems Through Artificial Neural Networks, Computational Intelligence in
Architecturing Complex Engineering Systems, pp. 35-42.ASME Press, New York, NY,
USA, 2009.
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Oladunni, O.O.
and T.B. Trafalis, “A regularized Pairwise Multi-classification Knowledge-based
Machine and Applications”, European Journal of Operational Research,
195(3):924-941, 2009.
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Trafalis, T.B.
and S. Kasap, “Neural Networks for Combinatorial Optimization”, in Encyclopedia
of Optimization, (C.A. Floudas and P.M. Pardalos, editors), second edition, pp.
2547-2555, Springer, New York, NY, USA, 2009.
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Gilbert, R.C.,
S. Raman, T.B. Trafalis, S.M. Obeidat, and J.A. Aguirre-Cruz, “Mathematical
Foundations for Form Inspection and Adaptive Sampling”, Journal of
Manufacturing Science and Engineering, 2009. Accepted, in press.
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Adrianto, I,
T.B. Trafalis and M.B. Richman, “Active Learning with Kernel Machines for
Tornado Detection”, in Intelligent Engineering Systems Through Artificial
Neural Networks, 8:131-137, New York, NY, USA, 2008, ASME Press.
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Maalouf, M. and
T.B. Trafalis, “Kernel Logistic Regression using Truncated Newton Method”, in
Intelligent Engineering Systems Through Artificial Neural Networks, (C.H.
Dagli, D.L. Enke, K.M. Bryden, Y. Ceylan and M. Gen, editors), 18:455-462, New
York, NY, USA, ASME Press, 2008.
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Trafalis, T.B.
and R.C. Gilbert, “Nonlinear Programming”, in Operations Research and
Management Science Handbook, (A.R. Ravindran, editor), CRC pp. 2-1 to 2-22,
2008.
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Mansouri, H.,
M.B. Richman, T.B. Trafalis, and L.M. Leslie, “ Pipeline Support Vector
Regression Method to Thin large Ocean Surface Wind Data On-line”, in
Intelligent Engineering Systems Through Artificial Neural Networks, (C.H.
Dagli, D.L. Enke, K.M. Bryden, H. Ceylan, and M. Gen, editors), 18:203-210, New
York, NY,USA, 2008, ASME Press.
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Richman, M.B.,
T.B. Trafalis and I. Adrianto, “Missing Data Imputation through Machine
Learning Algorithms”, in Artificial Intelligence Methods in the Environmental
Sciences, (S.E. Haupt, A. Pasini and C. Marzban, editors), pp 153-169,
Springer, London, UK, 2008.
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Oladunni, O.O.
and T.B. Trafalis, “A Nonlinear Multi-classification Knowledge-based Kernel
Machine”, Computational Management Science, 2008. Available online.
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Kundakcioglu,
O.E., M. Sanguineti and T.B. Trafalis, Guest editorial, Computational
Management Science, 2008. Available online.
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Maalouf, M., N.
Khoury and T.B. Trafalis, “Support Vector Regression to Predict Asphalt Mix
Performance”, International Journal for Numerical and Analytical Methods in
Geomechanics, 32(16):1989-1996, 2008.
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Balakrishna, P.,
S. Raman, T.B. Trafalis and B. Santosa, “Support Vector Regression for
Determining the Minimum Zone Sphericity”, International Journal of Advanced
Manufacturing Technology, 35(9-10):916-923, 2008.
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Alenezi, A.,
S.A. Moses, and T.B. Trafalis, “Real-time Prediction of Order Flowtimes using
Support Vector Regression, Computers and Operations Research, 35(11):3489-3503,
2008.
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Papadakis, P.,
I. Pratikakis, T.B. Trafalis, T. Theoharis and S. Perantonis, “Relevance
Feedback in Content-based 3D Object Retrieval – A Comparative Study,” Computer
Aided Design and Applications (CAD&A), 5(5):753-763, 2008.
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Oladunni, O.O.
and T.B. Trafalis, “A Regularized Pairwise Multi-classification Knowledge-based
Machine and Applications,” European Journal of Operational Research, pp.
643-689, 2008.
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Adrianto, I.,
Trafalis, T. B., & Lakshmanan, V., “Support vector machines for
spatiotemporal tornado prediction”, International Journal of General Systems,
Volume 38, Issue 7, Pages 759 – 776, 2009.
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Trafalis, T. B.
and R. C. Gilbert. “Nonlinear Programming,” in Operations Research and
Management Science Handbook, A. R. Ravindran, editor, CRC pp. 2-1 to 2-22,
2008.