W. Art Chaovalitwongse
Ph.D., University of Florida, 2003
Assistant Professor of Industrial and Systems Engineering
Director of Rutgers Center for Information Assurance, An NSA National Center of Excellence
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: wchaoval AT rci DOT rutgers DOT edu
W. Art Chaovalitwongse is Assistant Professor of Industrial and Systems Engineering at Rutgers University. He received a B.E. 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, respectively. 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 the 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. One year after he joined Rutgers, he was awarded the prestigious NSF CAREER Award.
He has worked on a new decision-making paradigm for complex data and engineering systems. Art has dedicated his career to drive transformative technological advances and employ them at the frontiers of national challenges – including complex systems for health care, genetics, transportation, and information security. He has studied several cross-disciplinary research problems and developed novel computational approaches to frame, model and optimize complex systems based on observable massive data and knowledge of system’s fundamental structures. Those approaches pave a way to developing the new decision making paradigm that can help rigorously address in a practical way the most challenging and high-impact of the 21st century’s real-world problems. His work in health care 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 is a two-times winner (2004 & 2008) of 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). He has articles published in leading journals and conferences such as Operations Research, Mathematical Programming, INFORMS Journal on Computing, Computer Networks, Computational Statistics & Data Analysis, IEEE transactions on Bio-medical Engineering, IEEE SMC, Epilepsy Research, Journal of Clinical and Neurophysiology, Epilepsia, SIGKDD, CSB, and ISMB.
He is listed in Who's Who in America, Who's Who in the World, Who's Who in Science and Engineering, Who's Who in Engineering Higher Education, Who's Who in Engineering Education, and Who's Who of Emerging Leaders. He has been invited to give seminars/lectures in top universities around the world including MIT, Princeton, U of Michigan, U of Illinois, Lehigh, SUNY-Buffalo, North Carolina State, Arizona State, Oklahoma State, NJIT, U of Houston, U de Montreal, U of Warwick, U of London, Seoul National University, KAIST, Mahidol University.
In addition to research, he have been actively involved with the management of the Association of Thai Professionals in America and Canada (ATPAC), which is a non-profit organization with the main goal to promote the advancement of scientific knowledge, technology and education in Thailand. ATPAC is currently supported by Thailand's Ministry of Science and Technology and Commission on Higher Education.
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,
B.E. in Telecommunication Engineering, May 1999.
Thesis advisor: Prof. Kobchai Deijharn
Awards and Honors:
2009 Outstanding Service Award, The Association of Thai Professionals in America and Canada (ATPAC)
2008 The Pierskalla best paper award for research excellence in health care management science, INFORMS
2008 Nominated for the National Security Science and Engineering Faculty Fellowship (NSSEFF) Program by Rutgers’ President McCormick
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:
“Multi-Dimensional Multi-Parameter Time Series Processing for Seizure Warning and Prediction”, United States Patent: US 7,263,467 B2, awarded Aug 2007
“Optimization of Multi-Dimensional Time Series Processing for Seizure Warning and Prediction”, International Patent: 7,373,199, awarded May 2008
“Optimization of Spatio-Temporal Patterns Processing for Seizure Warning and Prediction”, United States Patent: US 7,461,045, awarded December 2008
“Multi- Dimensional Dynamical Analysis”, filed on Jan. 27th, 2006 (U.S. Patent Application, Attorney Docket No. 1028724-000154)
Current Support: (~$1.5M to date)
“Health and Clinical Informatics Tools To Improve Current Medical Diagnosis and Health Care Delivery,” Thailand Ministry of Sciences and Technology, Role: PI, 2009-2010
“Intelligent Mining of Sensor Signals for Thermal Management and Health Monitoring of Data Centers,” Rutgers Computing Coordination Council (CCC) Green Computing Initiative, Role: Co-PI, M.K. Jeong (PI), 2009-2010
“School Development Cost Analysis,” New Jersey Schools Development Authority, Role: Co-PI, H. Pham (PI), 2008-2009
“REU Supplement: Novel Optimization Methods for Cooperative Data Mining with Healthcare and Biotechnology Applications,” National Science Foundation, Role: PI, 2008-2009
“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, H. Pham (PI), 2006-2007
“Computational Methods for Kinship Reconstruction,” National Science Foundation, Role: PI, 2006-2009
“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
Books:
® Clustering Challenges in Biological Networks, World Scientific, Singapore, 2009. [ISBN-13: 978-98127716050]
® Optimization and Logistics Challenges in the Enterprise, Springer, New York, 2009. [ISBN-13: 978-0387886169]
® Computational Neuroscience, Springer, New York, 2010. [ISBN-13: 978-0387886299]
Selected Publications: (for full list of publications, see my CV)
2010
® 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. To appear in INFORMS Journal on Computing.
® W. Chaovalitwongse. Comment on: Optimization and data mining in biomedicine. To appear in TOP: An Official Journal of the Spanish Society of Statistics and Operations Research. [DOI 10.1007/s11750-009-0129-9]
® Z. Liang, W. Chaovalitwongse, A.D. Rodriguez, D.E. Jeffcoat, D.A. Grundel, and J.K. O’Niel. Optimization in Target Tracking From Multi-Sensor Data in Battle Space. To appear in IEEE SMC Part C.
® Y.J. Fan and W. Chaovalitwongse. Support Feature Machine: New Optimization Framework for Feature Selection and Ensemble Classification. To appear in Annals of Operations Research. [DOI: 10.1007/s10479-008-0506-z]
® Z. Liang and W. Chaovalitwongse. Bounds of Redundant Multicast Routing Problem with SRLG-diverse Constraints: Edge, Path and Tree Models. To appear in Journal of Global Optimization. [DOI 10.1007/s10898-009-9497-9]
® S.I. Sheikh, T.Y. Berger-Wolf, A. Khokar, C.-A. Chou, W. Chaovalitwongse, M.V. Ashley, I.C. Caballero, and B. DasGupta. Combinatorial Reconstruction of Half-Sibling Groups: Models and Algorithms. To appear in Journal of Bioinformatics and Computational Biology.
2009
® 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. Chemometrics and Intelligent Laboratory Systems, 97: 111-117, 2009.
® L. Lei, H. Zhong, and W. Chaovalitwongse. On the Integrated Production and Distribution Problem with Bi-directional Flows. INFORMS Journal on Computing, 21(4): 585–598, 2009.
® M.V. Ashley, I.C. Caballero, W. Chaovalitwongse, B. DasGupta, P. Govindan, S.I. Sheikh, and T.Y. Berger-Wolf. KINALYZER: A Computer Program for Reconstructing Sibling Groups. Molecular Ecology Resources, 9:1127–1131, 2009.
® T. Zhang, W. Chaovalitwongse, Y. Zhang and P. Pardalos. The Hot-rolling Batch Scheduling Method based on the Prize Collecting Vehicle Routing Problem. Journal of Industrial and Management Optimization, 5 (4): 749–765, 2009.
® M. Cha, W. Chaovalitwongse, J. Yates, A. Shaikh, and S.B. Moon. Efficient and Scalable Provisioning Solutions for Always-On Multicast streaming Services. Computer Networks, 53: 2825–2839, 2009.
® S.S. Leondopulos, W. Chaovalitwongse, E. Micheli-Tzanakou, S. Wong and B.Y. Wu Feature Selection of Linear Predictors at Spectral Bands of Interest. EMBS 2009.
® M.V. Ashley, T.Y. Berger-Wolf, P. Berman, W. Chaovalitwongse, B. DasGupta, and M.-Y. Kao. On Approximating Four Covering and Packing Problems. Journal of Computer and System Sciences, 75 (5), 287-302, 2009.
® S.I. Sheikh, T.Y. Berger-Wolf, A. Khokar, I.C. Caballero, M.V. Ashley, W. Chaovalitwongse, and B. DasGupta. Combinatorial Reconstruction of Half-Sibling Groups. CSB 2009, pp. 59-67, 2009. (Acceptance rate: 23%).
® M.V. Ashley, T.Y. Berger-Wolf, W. Chaovalitwongse, B. DasGupta, Ashfaq Khokhar, and S. Sheikh. On Approximating an Implicit Cover Problem in Biology. AAIM 2009, Lecture Notes in Computer Science (LNCS), 5564, pp. 43-54, 2009.
2008
® W. Chaovalitwongse, Y.J. Fan, and R.C. Sachdeo. Novel Optimization Models for Abnormal Brain Activity Classification. Operations Research, 56(6): 1450-1460, 2008. (2008 INFORMS Pierskalla Award)
® W. Chaovalitwongse, C.C. Liu, W. Suharitdamrong, and M.L. Anderson. Graph-Based Data Mining Techniques to Study Brain Connectivity in Epilepsy Patients. Annales Zoologici Fennici, 45(5): 402-414, 2008.
® 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, W. Suharitdamrong, and P.M. Pardalos. Time-Frequency Analysis of Brain Neuro-dynamics. In D.Y. Gao and H.D. Sherali (Eds.), Advances in Mechanics and Mathematics vol. III, pp. 107-136, Springer, New York, 2008.
® S.I. Sheikh, T.Y. Berger-Wolf, M.V. Ashley, I.C. Caballero, W. Chaovalitwongse, and B. DasGupta. Error Tolerant Sibship Reconstruction in Wild Populations. CSB 2008, pp. 273-284. (Acceptance rate: 22%).
® C.-C. Liu, P. Xanthopoulos, W. Chaovalitwongse, P.M. Pardalos, and B.M. Uthman Antiepileptic Drug Intervention Decouples Electroencephalogram (EEG) Signals: A case study in Unverricht-Lundborg Disease. EMBS 2008, pp. 2108-2111, 2008..
2007
® W. Chaovalitwongse, Y.J. Fan, and R.C. Sachdeo. Support Feature Machine for Classification of Abnormal Brain Activity. 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, Y.J. Fan, and R. Sachdeo. On the K-Nearest Dynamic Time Warping Neighbor for Abnormal Brain Activity Classification. IEEE SMC Part A, 37(6): 1005-1016, 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.
® T. Y. Berger-Wolf, S. Sheikh, M. Ashley, I. C. Caballero, W. Chaovalitwongse, B. DasGupta and S. P. Lahari. Reconstructing Sibling Relationships in Wild Populations, ISMB 2007, Vienna. (Acceptance rate: 15%).
® T.P. Williams and W. Chaovalitwongse. Using Classification Rules to Develop a Predictive Indicator of Project Cost Overruns from Bidding Patterns. Proceedings of the 9th Conference on the Application of Artificial Intelligence to Civil, Structural and Environmental Engineering, Sep 2007.
® C.C. Liu, W. Chaovalitwongse, P.M. Pardalos, O. Seref, P. Xanthopoulos, J.C. Sackellares, and F.M. Skidmore. Quantitative Analysis for Electrooculography (EOG) for Neurodegenerative Disease. American Institute of Physics, Vol. 953, pp. 246-253, 2007..
2006
® 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. J. of Clinical Neurophysiology, 23(6): 509-520, 2006.
® 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.
2005
® 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.
® 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.
® 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. J. of Clinical Neurophysiology, 116 (3), 532-544, 2005.
® W. Chaovalitwongse, R.C. Sachdeo, P.M. Pardalos, L.D. Iasemidis, and J.C. Sackellares. Automated Brain Activity Classifier. Epilepsia, 46 (S8): 312, Dec 2005..
2004
® 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.
® 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. (2004 INFORMS Pierskalla Award)
® W. Chaovalitwongse, P.M. Pardalos, L.D. Iasemidis, D.-S. Shiau, and J.C. Sackellares. Applications of Global Optimization and Dynamical Systems to Prediction of Epileptic Seizures. Quantitative Neuroscience, pp. 1-36, Kluwer Academic Publishers, 2004.
® B. Chiarini, W. Chaovalitwongse, and P.M. Pardalos. A New Algorithm for the Triangulation of Input-Output Tables. Supply Chain and Finance, pp. 254-273, World Scientific, 2004..
2003
® 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.
® 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.
® P.M. Pardalos, V.A. Yatsenko, J.C. Sackellares, D.-S. Shiau, W. Chaovalitwongse, and L.D. Iasemidis. Analysis of EEG Data Using Optimization, Statistics, and Dynamical System Techniques. Computational Statistics & Data Analysis, 44(1-2): 391-408, 2003.
® W. Chaovalitwongse, P.M. Pardalos, J.C. Sackellares, L.D. Iasemidis, D.-S. Shiau, and P.R. Carney. Automated Real-Time Seizure Detection Algorithm. Epilepsia, 44 (S9): 227, Oct 2003.
® D.-S. Shiau, J.C. Sackellares, L.D. Iasemidis, P.M. Pardalos, P.R. Carney, and W. Chaovalitwongse. Dynamical Entrainment among Epileptic Brain Areas. Annals of Neurology, 54 (7): S55 Suppl. 2003.