Faculty Directory

W. Art Chaovalitwongse

W. Art Chaovalitwongse

Professor and 21st Century Research Leadership Chair

College of Engineering

(INEG)-Industrial Engineering

Phone: 479-575-5857

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Dr. W. Art Chaovalitwongse joined the University of Arkansas in the fall of 2016 as Professor of Industrial Engineering, 21st Century Leadership Chair in Engineering, and Co-Director of the Institute of Advanced Data Analytics. 

He currently serves as Associate Editor and Editorial Board Member of 10 leading international journals. He has edited 4 books and published over 100 research articles including more than 80 journal papers. He is the immediate past Chair of INFORMS Data Mining (DM) Section, and the President of the Association of Thai Professionals in America and Canada (ATPAC), which is a non-profit organization that works closely with Thailand's Ministry of Science and Technology, the Office of the Higher Education Commission, and the Royal Embassy of Thailand in Washington DC.

Dr. Chaovalitwongse's research group conducts extensive Analytics research, ranging from basic computational science/statistics, applied mathematical modeling, and translational research at the interface of engineering, medicine, and other emerging disciplines. He holds three patents of novel optimization techniques in seizure prediction system, which have been licensed to use in IdentEvent® by Optima Neuroscience, Inc.

  • Data Analytics
  • Machine Learning
  • Optimization
  • Medical Imaging & Signal Processing
  • Medical Decision Making
  • Optimization Modeling
  • Data Analytics
  • Engineering Economy
  • B.Eng. in Telecommunication Engineering, King Mongkut Institute of Technology, Ladkrabang
  • M.S. in Industrial & Systems Engineering, University of Florida
  • Ph.D. in Industrial & Systems Engineering, University of Florida

 

 

  • Peer- Reviewed Journal Papers: (IF denotes Impact Factors)
    1. J.C. Bledsoe, C. Xiao*, W. Chaovalitwongse, S. Mehta, T.J. Grabowski, M. Semrud-Clikeman, S.R. Pliszka, and D. Breiger. Diagnostic Classification of Attention-Deficit/Hyperactivity Disorder vs. Control: Support Vector Machine Classification Using Brief Neuropsychological Assessment. To appear in Journal of Attention Disorders. (IF = 3.779)
    2. M. Yuan, K. Deng, W. Chaovalitwongse. Manufacturing Resource Modeling for Cloud Manufacturing. To appear in International Journal of Intelligent Systems. (IF = 2.05)
    3. C. Xiao*, S. Wang*, L. Zheng, X. Zhang, and W. Chaovalitwongse. A Structure Based Model for Soft Tissue Centroid Prediction in Knee Anatomic Reconstruction. To appear in IEEE Transactions on Human Machine Systems. (IF = 1.982)
    4. C.A. Chou*, W. Chaovalitwongse, C. Lee, and T.O. Bonates. Multi-Pattern Generation Framework for Logical Analysis of Data. To appear in Annals of Operations Research. (IF = 1.103)
      • Finalist of the 2011 INFORMS Data Mining Student Paper Competition
    5. M. Yuan, S. Cheng, and W. Chaovalitwongse. Multi-objective Optimal Scheduling of Reconfigurable Assembly Line for Cloud Manufacturing. To appear in Optimization Methods and Software. (IF = 0.866)
    6. O. Seref, Y.J. Fan*, E. Borenstein, and W. Chaovalitwongse. Information-Theoretic Feature Selection with Discrete k-Median Clustering. To appear in Annals of Operations Research. (IF = 1.103)
    7. X. Ma, C.-A. Chou*, H. Sayama, and W. Art Chaovalitwongse. Brain Response Pattern Identification Using a Particle Swarm Optimization Based Approach. To appear in Brain Informatics.
    8. P.  Chaovalitwongse, K. Somprasonk, N. Phumchusri, J. Heim, Z. Zabinsky, and W. Chaovalitwongse. A Decision Support Model for Staff Allocation of Mobile Medical Service. To appear in Annals of Operations Research. (IF = 1.103)
    9. C. Xiao*, S. Wang*, J. Bledsoe, S. Mehta, M. Semrud-Clikeman, T.G. Grabowski, and W. Chaovalitwongse. An Integrated Feature Ranking and Selection Framework for ADHD Diagnosis. To appear in Brain Informatics.
    10. S. Wang*, J. Gwizdka, and W. Chaovalitwongse. Using Brain Activity to Classify Mental Workload on Human-Computer Interaction Tasks. IEEE Transactions on Human Machine Systems, 46(3), 424-435, 2016. (IF = 1.982)
    11. C. Xiao* and W. Chaovalitwongse. Optimization Models for Feature Selection of Decomposed Nearest Neighbor. IEEE Transactions on Systems, Man, and Cybernetics - Systems, 14(2), 177-184, 2016. (IF = 2.169)
    12. C. Lee, M. Pham, M.K. Jeong, D. Kim, D. Lin, and W. Chaovalitwongse. A Network Structural Approach to the Link Prediction Problem. INFORMS Journal on Computing, 27(2), 249-267, 2015. (IF = 1.318)
    13. C.-A. Chou*, Z. Liang*, W. Chaovalitwongse, T.Y. Berger-Wolf, B. DasGupta, M.V. Ashley, S. Sheikh, and I.C. Caballero. Column-Generation Framework of Nonlinear Similarity Model for Reconstructing Sibling Groups. INFORMS Journal on Computing, 27(1), 35-47, 2015. (IF = 1.318)
      • Honorable Mention of the 2009 NJ INFORMS Student Operations Research Contest
    14. Z. Liang*, Y. Feng, X. Zhang, and W. Chaovalitwongse. Robust Weekly Aircraft Maintenance Routing Problem and the Extension to the Tail Assignment Problem. Transportation Research Part B, 78, 238-259, 2015. (IF = 3.421)
    15. S. Wang*, Y. Zhang, C. Wu, F. Darvas, and W. Chaovalitwongse. Online Prediction of Driver Distraction Based on Brain Activity Patterns. IEEE Transactions on Intelligent Transportation Systems, 16(1): 136-150, 2015. (IF = 2.472)
    16. C.-J. Lin, C. Wu, and W. Chaovalitwongse. Integrating Human Behavior Modeling and Data Mining Techniques to Predict Human Errors in Numerical Typing. IEEE Transactions on Human Machine Systems, 45(1), 39-50, 2015. (IF = 1.982)
    17. S. Huang and W. Chaovalitwongse. Computational Optimization and Statistical Methods for Big Data Analytics: Applications in Neuroimaging. Tutorials in Operations Research, pp. 71-88, 2015.
      • Selected to be featured in INFORMS Editor’s Cut collection “Big Data Analytics.”
    18. W. Chaovalitwongse, G. Presnyakov*, Y. Cao*, S. Sujitnapitsatham*, D. Won*, T. Madhyastha, K. Weaver, P. Borghesani, and T.J. Grabowski. Diagnostic Network Modeling of Neural Connectivity Using Functional Magnetic Resonance Imaging. IEEE Intelligent Systems, 29(3), 64-67, 2014. (IF = 3.064)
    19. Z. Liang*, W. Chaovalitwongse, and E.A. Elsayed. Sequence Assignment Model for the Flight Conflict Resolution Problem. Transportation Science, 48(3), 334-350, 2014. (IF = 1.479)
    20. S. Wang*, S. Bowen, W. Chaovalitwongse, G. Sandison, T.J. Grabowski, and P. Kinahan. Respiratory Trace Feature Analysis for Prediction of Respiratory-Gated PET Quantification. Physics in Biology and Medicine, 59, 1027–1045, 2014. (IF = 2.701)
      • Featured in MedicalPhysicsWeb.org, PET/CT: will respiratory gating help? (Mar 19, 2014)
    21. C.A. Chou*, K. Kampa*, S.H. Mehta, R.F. Tungaraza, W. Chaovalitwongse, and T.J. Grabowski. Voxel Selection Framework in Multi-Voxel Pattern Analysis of fMRI Data for Prediction of Neural Response to Visual Stimuli. IEEE Transactions on Medical Imaging, 33(4), 925-934, 2014. (IF = 4.027)
    22. O. Seref, Y.J. Fan*, and W. Chaovalitwongse. Mathematical Programming Formulations and Algorithms for Discrete k-Median Clustering with Time Series Data. INFORMS Journal on Computing, 26(1), 160-172, 2014. (IF = 1.318)
    23. O. Seref, W. Chaovalitwongse, and J.P. Brooks. Relaxing Support Vectors for Classification. Annals of Operations Research, 216(1), 229-255, 2014. (IF = 1.103)
    24. K. Kampa*, S.H. Mehta, C.A. Chou*, W. Chaovalitwongse, and T.J. Grabowski. Sparse Optimization in Feature Selection: Application in Neuroimaging. Journal of Global Optimization, 59, 439-457, 2014. (IF = 1.062)
    25. S. Wang*, W. Chaovalitwongse, and S. Wong. A Gradient-Based Adaptive Learning Framework for Online Seizure Prediction. International Journal of Data Mining and Bioinformatics, 10(1), 49-64, 2014. (IF = 0.933)
      • Featured in eHealth: The Enterprise of Healthcare, “Software for Seizure Prediction” (Oct 2013)
      • Featured in ScienceNewsline: Biology, “Getting to Grips with Seizure Prediction” (Nov 2013)
      • Featured in Health ArmMed Media, “Getting to Grips with Seizure Prediction” (Nov 2013)
    26. Y. Zhang, W. Chaovalitwongse, and T. Zhang. Integrated Ant Colony and Tabu Search Approach for Time Dependent Vehicle Routing Problems with Simultaneous Pickup and Delivery. Journal of Combinatorial Optimization, 28(1), 288-309, 2014. (IF = 0.867)
    27. T. Madhyastha, Y. Cao*, S. Sujitnapitsatham*, G. Presnyakov*, W. Chaovalitwongse, and T.J. Grabowski. Link Clustering to Explore Brain Dynamics Using Resting State Functional MRI. Journal of Radiology and Radiation Therapy, 1(2): 1012, 2013.
    28. S. Wang*, W. Chaovalitwongse, and S. Wong. Online Seizure Prediction Using Adaptive Learning Approach. IEEE Transactions on Knowledge and Data Engineering, 25(12), 2854-2866, 2013. (IF = 2.285)
      • Finalist of the 2012 INFORMS Data Mining Student Paper Competition
      • Featured in United Neurodiagnostic Professionals of America (UNPO), “Computer Model to Predict Epilepsy With 70% + Accuracy Within 30 Minutes Before Seizure Onset” (Nov 2013)
      • Featured in ScienceDaily, “Better Prediction for Epileptic Seizures Through Adaptive Learning Approach” (Nov 2013)
      • Featured in MedicalNewsToday, “New Computer Model Can Accurately Predict Epileptic Seizures” (Nov 2013)
      • Featured in Scicasts, “Study Looks at Better Prediction for Epileptic Seizures Through Adaptive Learning Approach” (Nov 2013)
      • Featured in Epilepsy Research UK, “US Researchers Develop New Algorithm to Predict Seizures” (Nov 2013)
      • Featured in BioNewsTexas, “UT Arlington Researcher Part of Emerging Technology for Better Understanding Seizure Activity” (Oct 2013)
    29. Z. Liang* and W. Chaovalitwongse. A Network-Based Model for the Integrated Weekly Aircraft Maintenance Routing and Fleet Assignment Problem. Transportation Science, 47(4), 493-507, 2013. (IF = 1.479)
      • Winner of the 2010 NJ INFORMS Student Operations Research Contest
    30. K. Weaver, W. Chaovalitwongse, E.J. Novotny, A.D. Poliakov, T.J. Grabowski, and J. Ojemann. Local Functional Connectivity as a Pre-Surgical Tool for Seizure Focus Identification in Non-Lesion, Focal Epilepsy. Frontiers in Neurology, 4(43), 1-14, 2013.
    31. Z. Liang*, C. Lee, and W. Chaovalitwongse. Mathematical Programming Approaches for Dual Multicast Routing Problem with Multilayer Risk Cost. Annals of Operations Research, 203(1), 101-118, 2013. (IF = 1.103)
    32. S. Wang*, W. Chaovalitwongse, and R. Babuska. Survey of Learning Algorithms for Bipedal Robot Control Application. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 42(5), 728-743, 2012. (IF = 2.016)
    33. W. Chaovalitwongse, W. Wang*, T.P. Williams, and P. Chaovalitwongse. Data Mining Framework to Optimize the Bid Selection Policy for Competitively Bid Highway Construction Projects. ASCE Journal of Construction Engineering and Management, 138, 277-286, 2012. (IF = 0.583)
    34. T. Zhang, W. Chaovalitwongse, and Y. Zhang. Scatter search for the stochastic travel-time vehicle routing problem with simultaneous pick-ups and deliveries. Computers and Operations Research, 39(10), 2277-2290, 2012. (IF = 2.116)
    35. Z. Liang* and W. Chaovalitwongse. A Multicast Problem with Shared-Risk Cost. Optimization Letters, 6, 571–584, 2012. (IF = 0.926)
    36. M.J. Anzanello, S.L. Albin, and W. Chaovalitwongse. Multicriteria Variable Selection for Classification of Production Batches. European Journal of Operational Research, 218, 97-105, 2012. (IF = 2.158)
    37. C.-A. Chou*, W. Chaovalitwongse, T.Y. Berger-Wolf, B. DasGupta, and M.V. Ashley. Capacitated Clustering Problem in Computational Biology: Combinatorial and Statistical Approach for Sibling Reconstruction. Computers and Operations Research, 39, 609-619, 2012. (IF = 2.116)
    38. X. He, A. Chen, W. Chaovalitwongse, and H. Liu. An Improved Linearization Technique for a Class of Quadratic 0-1 Programming Problems. Optimization Letters, 6(1), 31-41, 2012. (IF = 0.926)
    39. S. Wang*, C.J. Lin, C. Wu, and W. Chaovalitwongse. Early Detection of Numerical Typing Errors Using Data Mining Techniques. IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, 41(6), 1199-1212, 2011. (IF = 2.033)
    40. W. Chaovalitwongse, C.A.S. Oliviera, B. Chiarini, P.M. Pardalos, and M.G.C. Resende. Revised GRASP with Path-Relinking for the Linear Ordering Problem. Journal of Combinatorial Optimization, 22, 572-593, 2011. (IF = 0.867)
    41. W. Chaovalitwongse, Y.S. Jeong, M.K. Jeong, S.F. Danish, and S. Wong. Pattern Recognition Approaches for Identifying Subcortical Targets During Deep Brain Stimulation Surgery. IEEE Intelligent Systems, 26(5), 54-63, 2011. (IF = 3.144)
    42. Z. Liang*, W. Chaovalitwongse, H.C. Huang, and E.L. Johnson. On a New Rotation Tour Network Model for Aircraft Maintenance Routing Problem. Transportation Science, 45(1), 109-120, 2011. (IF = 1.479)
    43. W. Chaovalitwongse, R.S. Pottenger*, S. Wang*, Y.J. Fan*, and L.D. Iasemidis. Pattern-Based and Network-Based Classification Techniques for Multichannel Medical Data Signals to Improve Brain Diagnosis. IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, 41(5), 977-988, 2011. (IF = 2.033)
    44. Z. Liang* and W. Chaovalitwongse. Bounds of Redundant Multicast Routing Problem with SRLG-diverse Constraints: Edge, Path and Tree Models. Journal of Global Optimization, 48(2), 335-345, 2010. (IF = 1.454)
    45. A. Rodriguez*, W. Chaovalitwongse, Z. Liang*, H. Singhal*, and H. Pham. Master Defect Record Retrieval Using Network-Based Feature Association. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 40(3): 319-329, 2010. (IF = 2.016)
    46. M.V. Ashley, T.Y. Berger-Wolf, W. Chaovalitwongse, B. DasGupta, A. Khokhar and S. Sheikh. On Approximating An Implicit Cover Problem in Wild Population Study. Discrete Mathematics, Algorithms and Applications, 2 (2): 1-11, 2010. (IF = N/A)
    47. 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. Journal of Bioinformatics and Computational Biology, 8(2): 337–356, 2010. (IF = N/A)
    48. Z. Liang*, W. Chaovalitwongse, M. Cha, and S.B. Moon. Redundant Multicast in Multilayer Networks with Shared Risk Resource Groups: Complexity, Models and Algorithms. Computers and Operations Research, 37: 1731–1739, 2010. (IF = 2.116)
    49. 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. INFORMS Journal on Computing, 22(2): 179-193, 2010. (IF = 1.318)
    50. 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. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 40(2): 176 – 188, 2010. (IF = 2.016)
    51. Y.J. Fan* and W. Chaovalitwongse. Optimizing Feature Selection to Improve Medical Diagnosis. Annals of Operations Research, 174(1): 169-183, 2010. (IF = 1.103)
    52. W. Chaovalitwongse. Comment on: Optimization and data mining in biomedicine. TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, 17: 247–249, 2009. (IF = 0.694)
    53. 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. (IF = 1.318)
    54. 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. (IF = 1.201)
    55. 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. (IF = 1.120)
    56. 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(4): 1127–1131, 2009. (IF = 1.251)
    57. M.J. Anzanello, S.L. Albin, and W. Chaovalitwongse. Selecting the Best Variables for Classifying Production Batches into Two Quality Levels. Chemometrics and Intelligent Laboratory Systems, 97(2): 111-117, 2009. (IF = 2.111)
      • Featured in ScienceDirect, Ranked 10th in Top 25 Hottest Articles in Chemometrics and Intelligent Laboratory Systems (2nd quarter of 2009)
    58. 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. (IF = 1.304)
      • Featured in ScienceDirect, Ranked 2nd in Top 25 Hottest Articles in Journal of Computer and System Sciences (2nd quarter of 2009)
    59. Y.J. Fan*, W. Chaovalitwongse, C.C. Liu, R.C. Sachdeo, L.D. Iasemidis, and P.M. Pardalos. Optimization and Data Mining Techniques for the Screening of Epileptic Patients. International Journal of Bioinformatics Research and Applications, 5(2): 187-196, 2009. (IF = N/A)
    60. W. Chaovalitwongse, Y.J. Fan*, and R.C. Sachdeo. Novel Optimization Models for Abnormal Brain Activity Classification. Operations Research, 56(6): 1450-1460, 2008. (IF = 1.576)
      • Winner of the 2008 INFORMS Pierskalla best paper award
    61. W. Chaovalitwongse, W. Suharitdamrong, C.C. Liu, and M.L. Anderson. Graph-Based Data Mining Techniques to Study Brain Connectivity in Epilepsy Patients. Annales Zoologici Fennici, 45(5): 402-414, 2008. (IF = 0.772)
    62. W. Chaovalitwongse. Novel Quadratic Programming Approach for Time Series Clustering with Biomedical Application. Journal of Combinatorial Optimization, 15(3): 225-241, 2008. (IF = 0.867)
    63. 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. (IF = 0.780)
    64. C.C. Liu, P.M. Pardalos, W. Chaovalitwongse, D.S. Shiau, G.A. Ghacibeh, W. Suharitdamrong, and J.C. Sackellares. Quantitative Complexity Analysis in Multi-Channel Intracranial EEG Recordings form Epilepsy Brains. Journal of Combinatorial Optimization, 15(3): 276-286, 2008. (IF = 0.867)
    65. W. Chaovalitwongse, Y.J. Fan*, and R. Sachdeo. On the Time Series K-Nearest Neighbor Classification of Abnormal Brain Activity. IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, 37(6): 1005-1016, 2007. (IF = 2.033)
    66. 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 = 4.926)
    67. 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 = 0.866)
    68. 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 = 1.103)
    69. 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. Predictability Analysis for an Automated Seizure Prediction Algorithm. Journal of Clinical Neurophysiology, 23(6): 509-520, 2006. (IF = 1.472)
    70. W. Chaovalitwongse, P.M. Pardalos, and O.A. Prokopyev. Optimization Approaches to Characterize the Hidden Dynamics of the Epileptic Brain: Seizure Prediction and Localization. SIAG/OPT Views-and-News, 17(2): 9-19, 2006. (the SIAM Activity Group on Optimization)
    71. W. Chaovalitwongse, L.D. lasemidis, P.M. Pardalos, P.R. Carney, D.S. Shiau, and J.C. Sackellares. Reply to comments on “Performance of a seizure warning algorithm based on the dynamics of intracranial EEG” by F. Mormann, C.E. Elger, and K. Lehnertz. Epilepsy Research, 72: 85-87, 2006. (IF = 2.479)
    72. W. Chaovalitwongse, L.D. Iasemidis, P.M. Pardalos, P.R. Carney, D.S. Shiau, and J.C. Sackellares. Reply to comments on “Performance of a seizure warning algorithm based on the dynamics of intracranial EEG” by M. Winterhalder, B. Schelter, A. Schulze-Bonhage, and J. Timmer. Epilepsy Research, 72: 82-84, 2006. (IF = 2.479)
    73. 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 = 0.866)
    74. 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 = 2.479)
    75. 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 = 1.472)
    76. 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. (IF = 0.681)
      • Featured in ScienceDirect, Ranked 5th in Top 25 Hottest Articles in Operations Research Letters (1st quarter of 2005)
    77. 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. (IF = 2.048)
      • Winner of the 2004 INFORMS Pierskalla best paper award
      • Featured in TV20, Central Florida local TV channel, “Predicting Attacks” (Jun 2003)
      • Featured in Alligator, University of Florida’s newspaper, “UF Research Seeks to Combat Seizures” (Apr 2003)
    78. 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. (IF = 0.867)
    79. 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 = 2.154)
    80. L.D. Iasemidis, P.M. Pardalos, D.-S. Shiau, W. Chaovalitwongse, K. Narayanan, S. Kumar, P.R. Carney, and J.C. Sackellares. Prediction of Human Epileptic Seizures based on Optimization and Phase Changes of Brain Electrical Activity. Optimization Methods and Software, 18(1): 81-104, 2003. (IF = 0.866)
    81. P.M. Pardalos, J.C. Sackellares, V.A. Yatsenko, M.C.K. Yang, D.-S. Shiau, and W. Chaovalitwongse. Statistical Information Approaches to Modeling and Detection of the Epileptic Human Brain. Computational Statistics & Data Analysis, 43(1): 79-108, 2003. (IF = 1.228)
    82. 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. (IF = 1.228)

Before coming to UA, Dr. Chaovalitwongse previously worked as Full Professor in the Departments of Industrial & Systems Engineering and Radiology (joint) and Adjunct Professor in the Department of Bioengineering at the University of Washington, Seattle (UW). There, he also served as Associate Director of the Integrated Brain Imaging Center (IBIC) at UW Medical Center. Before moving to Seattle, he worked as Visiting Associate Professor in the Department of Operations Research & Financial Engineering at Princeton University. He was also on the faculty in the Department of Industrial & Systems Engineering at Rutgers University. Before working in academia, he worked at the Corporate Strategic Research, ExxonMobil Research & Engineering. 

Awards/Honors/Recognitions

  • 2016    Featured in INFORMS Editor’s Cut collection “Big Data Analytics.”
  • 2016    21st Century Research Leadership Endowed Chair, University of Arkansas
  • 2016    Finalist of the Institute of Industrial & Systems Engineers (IISE) – Computer and Information Systems Mobile App Competition 
  • 2016    Finalist of the Distinguished Teaching Award, University of Washington (among the top 4 finalists from over 100 university-wide nominations)
  • 2016    Finalist of the Faculty Award: Teaching and Learning, College of Engineering, University of Washington
  • 2014    Finalist of the College of Engineering Faculty Innovator Award, University of Washington
  • 2014    Early promotion to Full Professor (with tenure), University of Washington
  • 2012    Finalist of the INFORMS Data Mining Student Paper Competition, with S. Wang
  • 2011    Finalist of the INFORMS Data Mining Student Paper Competition, with C.-A. Chou
  • 2011    Institute of Electrical and Electronics Engineers (IEEE) Senior Member
  • 2010    Rutgers University Presidential Fellowship for Teaching Excellence (the first and only engineering faculty to win this university-wide award)
  • 2010    Winner of the Annual NJ Chapter of INFORMS Student Research Contest, with Z. Liang
  • 2010    Early promotion to Associate Professor (with tenure), Rutgers University
  • 2009    Outstanding Service Award, The Association of Thai Professionals in America and Canada (ATPAC)
  • 2009    Finalist of the Annual NJ Chapter of INFORMS Student Research Contest, with C.-A. Chou
  • 2009    Rutgers FASIP Award for Research, Teaching and Service
  • 2008    Pierskalla best paper award for research excellence in health care management science, Institute for Operations Research and the Management Sciences (INFORMS)
  • 2008    Nominated for the National Security Science and Engineering Faculty Fellowship (NSSEFF) Program by Rutgers’ President McCormick 
  • 2008    Rutgers FASIP Award for Research, Teaching and Service
  • 2007    Notable Alumni, King Mongkut Institute of Technology at Ladkrabang 
  • 2007    Rutgers FASIP Award for Research, Teaching and Service
  • 2006    National Science Foundation (NSF) CAREER Award
  • 2006    Rutgers FASIP Award for Research, Teaching and Service
  • 2006    Omega Rho International Honor Society (Operations Research and Management Science)
  • 2004    Pierskalla best paper award for research excellence in health care management science, Institute for Operations Research and the Management Sciences (INFORMS)
  • 2003    Annual Award for Excellence in Research, Industrial & Systems Engineering, 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)

Media Citations (Newsletter, Online and TV Coverage)

  • MedicalPhysicsWeb, “PET/CT: Will Respiratory Gating Help?” (Mar 2014)
  • United Neurodiagnostic Professionals of America (UNPO), “Computer Model to Predict Epilepsy With 70% + Accuracy Within 30 Minutes Before Seizure Onset” (Nov 2013)
  • Scicasts, “Study Looks at Better Prediction for Epileptic Seizures Through Adaptive Learning Approach” (Nov 2013)
  • MedicalNewsToday, “New Computer Model Can Accurately Predict Epileptic Seizures” (Nov 2013)
  • ScienceNewsline: Biology, “Getting to Grips with Seizure Prediction” (Nov 2013)
  • ScienceDaily, “Better Prediction for Epileptic Seizures Through Adaptive Learning Approach” (Nov 2013)
  • Epilepsy Research UK, “US Researchers Develop New Algorithm to Predict Seizures” (Nov 2013)
  • Health ArmMed Media, “Getting to Grips with Seizure Prediction” (Nov 2013)
  • BioNewsTexas, “UT Arlington Researcher Part of Emerging Technology for Better Understanding Seizure Activity” (Oct 2013)
  • eHealth: The Enterprise of Healthcare, “Software for Seizure Prediction” (Oct 2013)
  • ScienceDirect, Ranked 2nd in Top 25 Hottest Articles in Journal of Computer and System Sciences (2nd quarter of 2009)
  • ScienceDirect, Ranked 10th in Top 25 Hottest Articles in Chemometrics and Intelligent Laboratory Systems (2nd quarter of 2009)
  • Thai Public Broadcast Station (Thai PBS), National TV channel in Thailand (Jun 2008)
  • ScienceDirect, Ranked 5th in Top 25 Hottest Articles in Operations Research Letters (1st quarter of 2005)
  • TV20, Central Florida local TV channel, “Predicting Attacks” (Jun 2003)
  • Alligator, University of Florida’s newspaper, “UF Research Seeks to Combat Seizures” (Apr 2003)