Phone: (732) 445-5469
E-mail: wchaoval@rci.rutgers.edu
Office Location: Busch Campus, CoRE Building, Rm 212
Personal Homepage
http://cosmolab.rutgers.edu
http://dimacs.rutgers.edu/~arty

Bio

Dr. Wanpracha (Art) Chaovalitwongse is an Assistant Professor in the department of Industrial and Systems Engineering. He received a B.S. degree in Telecommunication Engineering from King Mongkut Institute of Technology Ladkrabang, Thailand, in 1999 and M.S. and Ph.D. degrees in Industrial and Systems Engineering from University of Florida in 2000 and 2003 . He previously worked as a Post-Doctoral Associate in the NIH-funded Brain Dynamics Laboratory, Brain Institute and in the departments of Neuroscience and Industrial and Systems Engineering at University of Florida . Before joining Rutgers, he worked for one year at the Corporate Strategic Research, ExxonMobil Research & Engineering, where he managed research in developing efficient mathematical models and novel statistical data analyses for upstream and downstream business operations.

Research Interest

His teaching and research interests are in the areas of Data Mining, Combinatorial and Global Optimization, Epilepsy and Brain Disorders, Computational Biology, Supply Chain and Logistics, and Optimization in the Internet. He has conducted research in integrating the scientific concepts and research tools from across disciplines including neuroscience, computational biology, operations research, and computational statistics.

Professional Activities

Associate Editor of Journal of Combinatorial Optimization
Associate Editor of Optimization Letters
Faculty Fellow, Center for Supply Chain Management, Rutgers Business School
Permanent Member, DIMACS (Center for Discrete Mathematics and Theoretical Computer Science)
Director of Northeast Region, Omega Rho International Honor Society
Executive Vice President & Vice President for Strategic Planning, The Association of Thai Professionals in America and Canada
Member of ACM (Association of Computing Machinery)
Member of AES (American Epilepsy Society)
Member of IEEE (Institute of Electrical and Electronics Engineers)
Member of IIE (Institute of Industrial Engineers)
Member of INFORMS (Institute for Operations Research and the Management Sciences)
Member of MPS (Mathematical Programming Society)

Honors & Awards

• “Multi-Dimensional Multi-Parameter Time Series Processing for Seizure Warning and Prediction”, United States Patent: US 7,263,467 B2, 2007
• NSF CAREER Award, 2006
• Omega Rho International Honor Society (Operations Research and Management Science), 2006
• The Pierskalla best paper award for research excellence in health care management science, Institute for Operations Research and the Management Sciences (INFORMS), 2004
• Annual Award for Excellence in Research, Department of Industrial and Systems Engineering, University of Florida, 2003
• Listed in King Mongkut Institute of Technology Ladkrabang Notable Alumni, 2007
• Listed in Who’s Who of Emerging Leaders, Who's Who in Engineering Higher Education, Who’s Who in Science and Engineering, Who's Who in America, Who's Who in the World, and Who's Who in Engineering Education.

Representative Publications                                    Top

W. Chaovalitwongse, Y.J. Fan, and R.C. Sachdeo. Novel Optimization Models for Abnormal Brain Activity Classification. To appear in Operations Research.

L. Lei, H. Zhong, and W. Chaovalitwongse. On the Integrated Production and Distribution Problem with Bi-directional Flows. To appear in INFORMS Journal on Computing.

W. Chaovalitwongse, K.C. Furman, and P.M. Pardalos. Optimization and Logistics Challenges in the Enterprise, Springer, New York. Forthcoming in 2008.

W. Chaovalitwongse, S. Butenko, and P.M. Pardalos. Clustering Challenges in Biological Networks, World Scientific, Singapore. Forthcoming in 2008.

W. Chaovalitwongse, Y.J. Fan, and R. Sachdeo. On the Time Series K-Nearest Neighbor Classification of Abnormal Brain. IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, 37(6): 1005-1016, 2007.

W. Chaovalitwongse. Novel Quadratic Programming Approach for Time Series Clustering with Biomedical Application. Journal of Combinatorial Optimization, 15(3): 225-241, 2008

W. Chaovalitwongse and P.M. Pardalos. On the Time Series Support Vector Machine using Dynamic Time Warping Kernel for Brain Activity Classification. Cybernetics and Systems Analysis, 44(1): 125-138, 2008.

W. Chaovalitwongse, Y.J. Fan, and R.C. Sachdeo. Support Feature Machine for Classification of Abnormal Brain Activity. The Thirteenth ACM SIGKDD International Conference On Knowledge Discovery and Data Mining (SIGKDD 2007), pp. 113-122 (Full Presentation: acceptance rate <8%).

T.Y. Berger-Wolf, S. Sheikh, B. DasGupta, M.V. Ashley, I.C. Caballero, W. Chaovalitwongse, and S.L. Putrevu. Reconstructing Sibling Relationships in Wild Populations. Bioinformatics, 23: 49-56, 2007.

W. Chaovalitwongse, T.Y. Berger-Wolf, B. DasGupta, and M.V. Ashley. A Robust Combinatorial Approach for Sibling Relationships Reconstruction. Optimization Methods and Software, 22(1): 11-24, 2007.

W. Chaovalitwongse, P.M. Pardalos, and O.A. Prokopyev. Electroencephalogram (EEG) Time Series Classification: Applications in Epilepsy. Annals of Operations Research, 148: 227-250, 2006.

J.C. Sackellares, D.-S. Shiau, J.C. Principe, M.C.K. Yang, L.K. Dance, W. Suharitdamrong, W. Chaovalitwongse, P.M. Pardalos, and L.D. Iasemidis. Predictibility Analysis for an Automated Seizure Prediction Algorithm. Journal of Clinical Neurophysiology, 23(6): 509-520, 2006.

W. Chaovalitwongse, L.D. Iasemidis, P.M. Pardalos, P.R. Carney, D.-S. Shiau, and J.C. Sackellares. Performance of a Seizure Warning Algorithm based on the Dynamics of Intracranial EEG. Epilepsy Research, 64: 93-133, 2005.

W. Chaovalitwongse, P.M. Pardalos, and O.A. Prokopyev. Reduction of Multi-Quadratic 0-1 Programming Problems to Linear Mixed 0-1 Programming Problems. Operations Research Letters, 32(6): 517-522, 2004. (Ranked 5th in top 25 articles in ORL by ScienceDirect)

P.M. Pardalos, W. Chaovalitwongse, L.D. Iasemidis, J.C. Sackellares, D.-S. Shiau, P.R. Carney, O.A. Prokopyev, and V.A. Yatsenko. Seizure Warning Algorithm Based on Optimization and Nonlinear Dynamics. Mathematical Programming, 101(2): 365-385, 2004. (Pierskalla best paper award)

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