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Isaac Scientific Publishing
International Journal of Power and Energy Research
Prof. T. Trafalis,  The University of Oklahoma, USA
School of Industrial and Systems Engineering
The University of Oklahoma
202 West Boyd
Norman, OK 73019
USA
Research Interests
Operations Research/Management Science: mathematical programming, interior point methods, multiobjective optimization, control theory, computational and algebraic geometry, artificial neural networks and intelligent systems, evolutionary programming and global optimization, large scale optimization, financial optimization, support vector machines, data mining, machine learning, bioinformatics, weather prediction, energy markets and risk management, complex systems.
Selected Publication List
• Emre Tokgöz and Theodore B. Trafalis, “2-Facility Manifold Location Routing Problem”, Optimization Letters, accepted, DOI: DOI 10.1007/s11590-015-0984-2, published on line, December 2015.
• Emre Tokgöz ,Samir Alwazzi and Theodore B. Trafalis, A heuristic algorithm to solve the single-facility location routing problem on Riemannian surfaces, Computational Management Science, 12, issue 3, pg. 397-415, 2015.
• Richman, M. B., L. M. Leslie, T.B. Trafalis, and H. Mansouri, “Data selection using support vector regression”. Adv. Atmos. Sci., 32(3), 277 - 286, doi: 10.1007/s00376-014-4072, 2015.
• Cameron A. MacKenzie, Theodore B. Trafalis, Kash Barker, 2014, "Non-Gaussian Bayesian kernel methods for binary and multi-class classification problems", Statistical Analysis and Data Mining, 7(6) pg. 434-449, 2014.
• Emre Tokgöz ,Samir Alwazzi and Theodore B. Trafalis, A heuristic algorithm to solve the single-facility location routing problem on Riemannian surfaces, Computational Management Science, 12, issue 3, pg. 397-415, 2015.
• Victoria C. P. Chen, Seoung Bum Kim and T. Trafalis, “Preface: Special Volume on Data Mining and Informatics”, Annals of Operations Research, 2014, 216:1, 1-2.
• Shivakumar Raman, Robin C. Gilbert, Theodore B. Trafalis, “Coordinate metrology for adaptive form verification”, Manufacturing Letters 01/2013; 1(s 2–4):59–61.
• Theodore B. Trafalis, Indra Adrianto, Michael B. Richman, S. Lakshmivarahan , “Machine-learning classifiers for imbalanced tornado data”, Computational Management Science , 11, 403-418, 2014.
• Dehghan, A and T.B. Trafalis, 2012, “Examining Churn and Loyalty Using Support Vector Machine,” Business and Management Research, 1:4, 153-161.
• Tokgöz, Emre and Theodore B. Trafalis, “Optimization of an SVM QP Problem Using Mixed Variable Nonlinear Polynomial Kernel Map and Mixed Variable Unimodal Functions”, WSEAS Transactions on Systems and Control, 2011.
• Dawotola, A.W., Trafalis, T., Mustaffa, Z., Van Geider, P.H.A.J.M. and J.K. Vrijling, 2012, “Rick Based Maintenance of a Cross Country Petroleum Pipeline System,” Journal of Pipeline Systems Engineering and Practice, DOI: 10.1061/(ASCE), 1949-1204.
• Couellan, N.P. and T.B. Trafalis, 2013, “An Incremental Primal-Dual Method For Nonlinear Programming with Special Structure”, Optimization Letters, 7:1, 51-62.
• Couellan, N.P. and T.B. Trafalis, 2013, “Online SVM learning via an incremental primal-dual technique”, published online in Optimization Methods and Software, 28:2, 256-275.
• Maalouf, M. and T. B. Trafalis, “Robust Weighted Kernel Logistic Regression in Imbalanced and Rare Events Data”, Journal of Computational Statistics and Data Analysis, 55:1, 168-183, 2011.
• Maalouf, M. and T. B. Trafalis, “Rare Events and Imbalanced Datasets: An Overview”, International Journal of Data Mining, Modeling, and Management, 3:4, 375-388, 2011.
• Maalouf, M., T. B. Trafalis, and I. Adrianto, “Kernel Logistic Regression Using Truncated Newton Method”, Journal of Computational Management Science, 8:4, 415-428, 2011.
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