W. Chaovalitwongse, T.Y. Berger-Wolf, B. DasGupta, and M.V. Ashley. A Robust Combinatorial
Approach for Sibling Relationships Reconstruction. To appear in
Optimization Methods and Software.
W. Chaovalitwongse,
P.M. Pardalos, and O.A. Prokopyev. Electroencephalogram (EEG) Time Series
Classification: Applications in Epilepsy. To appear in Annals of
Operations Research.
W. Chaovalitwongse, W. Suharitdamrong, and, P.M. Pardalos. Time-Frequency Analysis of Brain
Neuro-dynamics. In D.Y. Gao (Ed.), Advances in Mechanics and Mathematics,
Springer, New York.
To appear.
O.A. Prokopyev, V. Boginski, W.
Chaovalitwongse, P.M. Pardalos, J.C. Sackellares, and P.R. Carney.
Network-Based Techniques in EEG Data Analysis and Epileptic Brain Modeling.
In P.M. Pardalos and A. Vazacopoulos (Eds.), Data Mining in Biomedicine.
Springer, New York. To appear.
I.P. Androulakis and W.
Chaovalitwongse. Mathematical Programming for Data Mining. In C.A.
Floudas and P.M. Pardalos (Eds.), Encyclopedia of Optimization.
Springer, New York. To appear.
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. Journal of Clinical
Neurophysiology,
116 (3), 532-544, 2005.
W. Chaovalitwongse. Novel Quadratic
Programming Approaches for Feature Selection and Clustering with
Applications. Proceedings of the Workshop on Optimization-based Data Mining
Techniques with Applications held in Conjunction with 2005 IEEE
International Conference on Data Mining (ICDM), pp. 1-7, December 2005.
T.Y. Berger-Wolf, B. DasGupta, W.
Chaovalitwongse, and M.V. Ashley. Combinatorial Reconstruction of
Sibling Relationships. Proceedings of the 6th International Symposium on
Computational Biology and Genome Informatics (CBGI), pp. 1252-1255, July
2005.
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)
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.
Combinatorial and Global
Optimization:
W. Chaovalitwongse,
L. Lei, and S. Gao. On the Cyclic Vessel Scheduling with Setup Times.
ISE Working Paper.
W. Chaovalitwongse,
and P.M. Pardalos. GRASP with Path-Relinking for the Linear Ordering
Problem. ISE Working Paper.
L. Lei, H. Zhong, and W. Chaovalitwongse.
On the Integrated Production and Distribution Problem with Bi-directional
Flows. Under revision: INFORMS Journal on Computing.
W. Chaovalitwongse,
T.Y. Berger-Wolf, B. DasGupta, and M.V. Ashley. A Robust Combinatorial
Approach for Sibling Relationships Reconstruction. To appear in
Optimization Methods and Software.
W. Chaovalitwongse, I.P.
Androulakis, and P.M. Pardalos. Quadratic Integer Programming: Complexity
and Equivalent Forms. In C.A. Floudas and P.M. Pardalos (Eds.), Encyclopedia
of Optimization. Springer, New York. To appear.
W. Chaovalitwongse, O.A. Prokopyev,
and P.M. Pardalos. Multi-Quadratic Zero-One Programming. In C.A. Floudas and
P.M. Pardalos (Eds.), Encyclopedia of Optimization. Kluwer Academic
Publishers, Netherland. To appear.
P.M. Pardalos, V.L.
Boginski, O.A. Prokopyev, W. Sudharidamrong, P.R. Carney, W.
Chaovalitwongse, and A. Vazacopoulos. Optimization Techniques in
Medicine. In C.Audet, P. Hansen, and G. Savard (Eds.), Essays and Surveys
in Global Optimization, pp. 211-232, Springer, New York, 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 Spatiotemporal Dynamics of Intracranial EEG.
Mathematical Programming,
101(2): 365-385, 2004. (Pierskalla
best paper award)
B. Chiarini, W. Chaovalitwongse, and
P.M. Pardalos. A New Algorithm for the Triangulation of Input-Output Tables.
In: P.M. Pardalos, A. Migdala, and G. Baourakis (Eds.), Supply chain and
finance, pp. 254-273, World Scientific, Singapore, 2004.
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.
Epilepsy and Brain Disorders:
J.C. Sackellares, D.-S.
Shiau, M.C.K. Yang, P.R. Carney, L.K. Dance, W. Suharitdamrong, W.
Chaovalitwongse, P.M. Pardalos, J.C. Principe, and L.D. Iasemidis.
Comparison of an Automated Seizure Prediction Algorithm Based on EEG Signal
Analysis and Statistically Based Naïve Prediction Schemes. Submitted to
Journal of
Clinical Neurophysiology.
W. Chaovalitwongse,
R.C. Sachdeo, P.M. Pardalos, L.D. Iasemidis, and J.C. Sackellares.
Automated Brain Activity Classifier. To appear in
Epilepsia.
W. Chaovalitwongse.
Optimization and Data Mining in Epilepsy Research: A Review and Prospective.
In H.E. Romeijn and P.M. Pardalos (Eds.), Handbook of Optimization in
Medicine, Springer, New York. To appear.
W. Chaovalitwongse,
P.M. Pardalos, and O.A. Prokopyev. Electroencephalogram (EEG) Time Series
Classification: Applications in Epilepsy. To appear in Annals of
Operations Research.
W. Chaovalitwongse
and P.M.
Pardalos. Optimization Approaches to Characterize the Hidden Dynamics of the
Epileptic Brain: Seizure Prediction and Localization. To appear in SIAG/OPT
Views-and-News.
W. Chaovalitwongse,
W. Suharitdamrong, and, P.M. Pardalos. Time-Frequency Analysis of Brain
Neuro-dynamics. In D.Y. Gao (Ed.), Advances in Mechanics and Mathematics,
Springer, New York. To appear.
O.A. Prokopyev, V. Boginski,
W. Chaovalitwongse,P.M. Pardalos, J.C. Sackellares, and P.R.
Carney. Network-Based Techniques in EEG Data Analysis and Epileptic Brain
Modeling. In P.M. Pardalos and A. Vazacopoulos (Eds.), Data Mining in
Biomedicine. Springer, New York. To appear.
D.-S. Shiau, L.D. Iasemidis,
P.M. Pardalos, P.R. Carney, L.K. Dance, W. Chaovalitwongse, and J.C.
Sackellares. Automated Seizure Prediction Algorithm and Its Statistical
Assessment: A Report From Ten Patients. In P.M. Pardalos and A. Vazacopoulos
(Eds.), Data Mining in Biomedicine. Springer, New York. To appear.
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.
Journal of Clinical Neurophysiology,
116 (3), 532-544, 2005.
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)
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. In P.M. Pardalos, and J.C. Sackellares (Eds.),
Quantitative Neuroscience, pp. 1-36, Kluwer Academic Publishers,
Netherland, 2004.
D.-S. Shiau, L.D. Iasemidis,
J.C. Sackellares, P.M. Pardalos, P.R. Carney, and W. Chaovalitwongse.
Nonlinear Dynamics and Global Optimization Approaches to Investigate
Dynamical Transitions Before and After Epileptic Seizures. In P.M. Pardalos
and J.C. Sackellares (Eds.), Quantitative Neuroscience, pp. 239-250,
Kluwer Academic Publishers, Netherland, 2004.
P.R. Carney, D.-S. Shiau,
L.D. Iasemidis, W. Chaovalitwongse, and J.C. Sackellares. Nonlinear
Neurodynamical Features in an Animal Model of Generalized Epilepsy. In P.M.
Pardalos and J.C. Sackellares (Eds.), Quantitative Neuroscience, pp.
37-52, Kluwer Academic Publishers, Netherland, 2004.
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.
L.D. Iasemidis, P.M.
Pardalos, D.-S. Shiau, W. Chaovalitongse, 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.
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.
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, October 2003.
D.-S. Shiau, L.D. Iasemidis,
W. Suharitdamrong, L.K. Dance, W. Chaovalitwongse, P.M. Pardalos, P.R.
Carney, and J.C. Sackellares. Detection of the Preictal Period by Dynamical
Analysis of Scalp EEG. Epilepsia, 44 (S9): 233, October 2003.
P.R. Carney, J.C.
Sackellares, D.-S. Shiau, L.D. Iasemidis, W. Chaovalitwongse, W.
Suharitdamrong, and P.M. Pardalos. Detection of Seizures in Newborns by
Quantitative EEG Signal Analyses. Epilepsia, 44 (S9): 54, October
2003.
J.C. Sackellares, L.D.
Iasemidis, D.-S. Shiau, W. Suharitdamrong L.K. Dance, W. Chaovalitwongse,
P.M. Pardalos, and P.R. Carney. An Automated Seizure Warning Algorithm for
Scalp EEG. Epilepsia, 44 (S9): 228, October 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.
W. Chaovalitwongse,
L.D. Iasemidis, A. Prasad, D.-S. Shiau, J.C. Sackellares, P.M. Pardalos, and
P.R. Carney. Seizure Prediction by Dynamical Phase Information from the EEG.
Epilepsia, 43 (7): S45, October 2002.
J.C. Sackellares, L.D.
Iasemidis, D.-S. Shiau, W. Chaovalitwongse, P.M. Pardalos, and P.R.
Carney. “Dynamical Dependence of Seizure Prediction on Preceding Seizures,”
Epilepsia, 43 (7): S50, October 2002.
L.D. Iasemidis, D.-S. Shiau,
W. Chaovalitwongse, P.M. Pardalos, P.R. Carney, and J.C. Sackellares.
“Adaptive Seizure Prediction System,” Epilepsia, 43 (7): S264-S265,
October 2002.
J.C. Sackellares, L.D.
Iasemidis, D.-S. Shiau, P.M. Pardalos, W. Chaovalitwongse, and P.R.
Carney.Can knowledge of cortical site dynamics in a preceding
seizure be used to improve prediction of the next seizure? Annals of
Neurology, 52 (3): S65-S66 Suppl., September 2002.
J.C. Sackellares, L.D.
Iasemidis, P.M. Pardalos, W. Chaovalitwongse, D.-S. Shiau, S.N.
Roper, R.L. Gilmore, and J.C. Principe. Performance Characteristics of an
Automated Seizure Warning Algorithm (ASWA) Utilizing Dynamical Measures of
the EEG Signal and Global Optimization Techniques. Epilepsia, 42 (7):
S40, November 2001.
Computational Biology:
W. Chaovalitwongse, T.Y. Berger-Wolf, B. DasGupta, and M.V. Ashley. A Robust Combinatorial
Approach for Sibling Relationships Reconstruction. To appear inOptimization Methods and Software.
T.Y. Berger-Wolf, B.
DasGupta, W. Chaovalitwongse, and M.V. Ashley. A Combinatorial
Reconstruction of Sibling Relationships in Absence of Parental Data.
DIMACS Technical Report, 2005-27.
T.Y. Berger-Wolf, B.
DasGupta,
W. Chaovalitwongse,
and M.V. Ashley. Combinatorial Reconstruction of Sibling Relationships.
Proceedings of the 6thInternational
Symposium on Computational Biology and Genome Informatics (CBGI), pp.
1252-1255, July 2005.
Supply Chain
and Logistics:
W. Chaovalitwongse,
L. Lei, and S. Gao. On the Cyclic Vessel Scheduling with Setup Times.
ISE Working Paper.
W. Chaovalitwongse,
and P.M. Pardalos. GRASP with Path-Relinking for the Linear Ordering
Problem. ISE Working Paper.
L. Lei, H. Zhong, and W. Chaovalitwongse.
On the Integrated Production and Distribution Problem with Bi-directional
Flows. Under revision: INFORMS Journal on Computing.
B. Chiarini, W. Chaovalitwongse, and
P.M. Pardalos. A New Algorithm for the Triangulation of Input-Output Tables.
In: P.M. Pardalos, A. Migdalas, and G. Baourakis (Eds.), Supply chain and
finance, pp. 254-273, World Scientific, Singapore, 2004.
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.
Optimization
in Telecommunication:
M. Cha, W. Chaovalitwongse, Z. Ge,
J. Yates, and S. Moon. Path Protection Routing with SRLG Constraints to
Support IPTV in WDM Mesh Networks. To appear in IEEE Global Internet
Symposium.