W. Art Chaovalitwongse

       Ph.D., University of Florida, 2003

 

        Assistant Professor of Industrial and Systems Engineering

        Permanent Member of DIMACS

        Faculty Fellow, Center for Supply Chain Management, Rutgers Business School

        Rutgers, The State University of New Jersey

        CoRE Building, 96 Frelinghuysen Rd., Piscataway, NJ 08854

        Phone: (732) 445-5469 Fax: (732) 445-5467

        Email:

 

                W. Art Chaovalitwongse is an Assistant Professor of Industrial and Systems Engineering, Rutgers University. 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. 

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. His work in epilepsy was awarded for Excellence in Research from the University of Florida, and he also holds several patents of novel optimization techniques adopted in the development of seizure prediction system. He has articles published in Mathematical Programming, Operations Research Letters, Annals of Operations Research, IEEE transactions on Bio-medical Engineering, Journal of Combinatorial Optimization, Optimization Methods and Software, Computational Statistics and Data Analysis, Epilepsy Research, Journal of Clinical and Neurophysiology, and Epilepsia. His articles were also awarded the William Pierskalla best paper for research excellence in Operations Research and Health Care applications by Institute of Operations Research and the Management Sciences (INFORMS) and ranked 5th in Top 25 Articles in Operations Research Letters. He is a member of MPS , SIAM , INFORMS and AES (American Epilepsy Society) and is listed in Who's Who in America, Who's Who in the World (Marquis edition), and Who's Who in Engineering Education. In addition, he is a permanent member of DIMACS, a faculty fellow of the Center for Supply Chain Management (Rutgers Business School), an affiliated member of Comprehensive Epilepsy Center, St. Peter's University Hospital. Art is also a recipient of 2006 NSF CAREER Award.

Education:

• University of Florida, Gainesville, FL

          Ph.D. in Industrial and Systems Engineering, August 2003.

          M.S. in Industrial and Systems Engineering, December 2000.

          Thesis advisor: Distinguished Prof. Panos M. Pardalos (my mathematical sciences family tree)

• King Mongkut Institute of Technology Ladkrabang, Bangkok, Thailand

          B.E. in Telecommunication Engineering, May 1999.

          Thesis advisor: Prof. Kobchai Deijharn

 

Awards:

                  2006     NSF CAREER Award

                  2006     Omega Rho International Honor Society (Operations Research and Management Science)

                  2004     The Pierskalla best paper award for research excellence in health care management science, INFORMS

                  2003     Graduate Student Annual Award for Excellence in Research, University of Florida

 

Patents:

• “Optimization of Multi-Dimensional Time Series Processing for Seizure Warning and Prediction”, (UF-11021, ASUM4-011), filed on Aug. 27th, 2003 (International Patent Application, Attorney Docket No. 028724-142).

• “Multi-Dimensional Multi-Parameter Time Series Processing for Seizure Warning and Prediction”, (UF-10984), filed on Sept. 30th, 2003 (International Patent Application, Attorney Docket No. 028724-143).

• “Optimization of Spatio-Temporal Patterns Processing for Seizure Warning and Prediction”, filed on Aug. 30th, 2004 (U.S. Patent application, Attorney Docket No. 028724-150).

• “Method to Enable Linear Programming Software to Solve Multi-Quadratic 0-1 Problems”, Provisional Patent, UF#-11298.

• “Multi- Dimensional Dynamical Analysis”, filed on Jan. 27th, 2006 (U.S. Patent Application, Attorney Docket No. 1028724-000154).

   

Current Support:

• “Spatio-Temporal Data Mining in Brain Disorder and Cognitive Function Study,” Rutgers Computing Coordination Council (CCC) Collaborative Computing Research, Role: PI (Co-PIs: E. Micheli-Tzanakou, N.N. Boustany, R.M. Lehman, B.Y. Wu), 2008-2009

• “Center of Excellence for Cyber-Security and Information Assurance,” Rutgers Academic Excellence Fund, Role: PI (Co-PIs: H. Pham, M. Parashar, H. Xioang, T. Nguyen), 2008-2010

• “Optimization and Statistical Framework for Mining and Categorizing Correlated Text Records,” Cisco Academic Research & Technology Initiatives, Role: Co-PI, 2006-2007

• “Computational Methods for Kinship Reconstruction,” NSF, Role: PI, 2006-2009

• “CAREER: Novel Optimization Methods for Cooperative Data Mining with Healthcare and Biotechnology Applications,” NSF, Role: PI, 2006-2011

• “Workshops Connecting Theoretical Computer Science to Other Fields,” NSF, Role: Co-PI, 2005-2008

• “Cooperative Data Mining for Aircraft Munition Sensors,” Rutgers Research Council Grants, Role: PI, 2005-2006

• “Novel Combinatorial Optimization Approaches to Support the Future Multicast System in the Internet,” Rutgers Research Council Grants, Role: PI, 2006-2007

• Several workshop grants by ExxonMobil, DIMACS, University of Florida

 

Selected Publications:

• 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, C.C. Liu, W. Suharitdamrong, and M.L. Anderson. Graph-Based Data Mining Techniques to Study Brain Connectivity in Epilepsy Patients. To appear in Annales Zoologici Fennici.

• 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. (IF = 6.019)

• W. Chaovalitwongse, Y.J. Fan, and R. Sachdeo. On the K-Nearest Dynamic Time Warping Neighbor for Abnormal Brain Activity Classification. IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, 37(6): 1005-1016, 2007. (IF = 0.821)

• 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. (IF = 0.477)

• 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. (IF = 0.525)

• 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. (IF = 2.640)

• M. Cha, W. Chaovalitwongse, Z. Ge, J. Yates, and S. Moon. Path Protection Routing with SRLG Constraints to Support IPTV in WDM Mesh Networks. INFOCOM Global Internet Symposium, pp. 134-138, April 2006.

• W. Chaovalitwongse, P.M. Pardalos, L.D. Iasemidis, D.-S. Shiau, and J.C. Sackellares. Dynamical Approaches and Multi-Quadratic Integer Programming for Seizure Prediction. Optimization Methods and Software, 20 (2-3): 383-394, 2005. (IF = 0.477)

• 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.  (IF = 2.663)

• L.D. Iasemidis, P.M. Pardalos, D.-S. Shiau, W. Chaovalitwongse, K. Narayanan, A. Prasad, K. Tsakalis, P.R. Carney, and J.C. Sackellares. Long Term Prospective On-Line Real-Time Seizure Prediction. Journal of Clinical Neurophysiology, 116 (3), 532-544, 2005. (IF = 2.640)

• W. Chaovalitwongse, P.M. Pardalos, and O.A. Prokopyev. A New Linearization Technique for Multi-Quadratic 0-1 Programming Problems. Operations Research Letters, 32(6): 517-522, 2004. (Ranked 5^th in Top 25 Articles in ORL by ScienceDirect) (IF = 0.597)

• 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 Spatiotemporal Dynamics of Intracranial EEG. Mathematical Programming, 101(2): 365-385, 2004. (Pierskalla best paper award) (IF = 1.497)

• L.D. Iasemidis, D.-S. Shiau, W. Chaovalitwongse, J.C. Sackellares, P.M. Pardalos, P.R. Carney, J.C. Principe, A. Prasad, B. Veeramani, and K. Tsakalis. Adaptive Epileptic Seizure Prediction System. IEEE Transactions on Bio-medical Engineering, 50 (5): 616-627, 2003. (IF = 1.857)

• W. Chaovalitwongse, D.K. Kim, and P.M. Pardalos. GRASP with a New Local Search Scheme for Vehicle Routing Problems with Time Windows. Journal of Combinatorial Optimization, 7: 179-207, 2003.

 

Papers in Review:

• L. Lei, W. Chaovalitwongse, and S. Bora. Scheduling the Operations of an Integrated Production-Distribution Process.

• W. Chaovalitwongse, Z. Liang, M. Cha, J. Yates, A. Shaikh, and S.B. Moon. A Path-Based Formulation Model with Column Generation Approach for Routing and Protection of Shared Risk Resource Group.

• W. Chaovalitwongse, C.-A. Chou, T.Y. Berger-Wolf, B. DasGupta, M.V. Ashley, S. Sheikh, and I.C. Caballero. New Optimization Model and Algorithm for Sibling Reconstruction from Genetic Markers.

• Z. Liang, W. Chaovalitwongse, H.C. Huang, and E.L. Johnson. On the Network Flow Based Model for Aircraft Maintenance Routing Problem.

• Z. Liang, W. Chaovalitwongse, W. Wang, D.E. Jeffcoat, D.A. Grundel, and J.K. O’Niel. Cooperative Clustering for Target Tracking in Battle Space.

• M.J. Anzanello, S.L. Albin, and W. Chaovalitwongse. New Integrated Feature Selection and Classification Framework for Product Quality Prediction with Application in Manufacturing Process Control.

• S. Sheikh, T.Y. Berger-Wolf, M.V. Ashley, I.C. Caballero, W. Chaovalitwongse, B. DasGupta, and A.A. Khokhar. Error Tolerant Sibship Reconstruction in Wild Populations.

• M.V. Ashley, T.Y. Berger-Wolf, P. Berman, W. Chaovalitwongse, B. DasGupta, and M.-Y. Kao. On Approximating Four Covering and Packing Problems.

• H. Singhal, W. Chaovalitwongse, Z. Liang, H. Pham, C. Pham, and F. Lin. Optimizing Keyword Weights for Supervised Text Categorization and Record Query.