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DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING TECHNOLOGY

Faculty Profile

 

Dr Ongard Sirisaengtaksin

Dr. Ongard Sirisaengtaksin, Professor

 

Email: sirisaengtaksino@uhd.edu
Office: 711-S
Phone: 713-221-8554

 

WEBSITE

 

 


Biography

Work History

Professor, Department of Mathematics and Statistics, University of Houston Downtown, September 2013 – present.

Professor, Department of Computer and Mathematical Sciences, University of Houston Downtown, 2000 – September 2013.

Associate Professor, Department of Computer and Mathematical Sciences, University of Houston, Houston Downtown, 1992 – 2000.

Assistant Professor, Department of Computer and Mathematical Sciences, University of Houston Downtown, 1986 - 1992.

Graduate Teaching Associate, Department of Applied Mathematical Sciences, The University of Texas at Arlington, Arlington, Texas, 1981 - 1986.

Teaching Assistant, Department of Mathematics, Lamar University, Beaumont, Texas, 1979 – 1981.

 

Publications

ARTICLES PUBLISHED OR ACCEPTED FOR PUBLICATION

Computer Science

  1. Network of Multi-Agent Traffic Controllers, with Danil Safin, the Proceedings of the 2009 IEEE International Conference on Networking, Architecture, and Storage, (to appear).
  2. Resource Allocation Based on Imprecise Information, with André de Korvin and Plamen Simeonov, Neural, Parallel and Scientific Computations, Vol. 15 (2007) pp. 91-102.
  3. A Body of Evidence Approach under Partially Specified Environments, with André de Korvin and Shoreh Hashemi, Neural,Parallel and Scientific Computations, Vol. 13 (2005) pp. 78-912.
  4. Making Decisions under Partially Specified Environments, with André de Korvin, the electronic Proceedings of 2004 International Conference on Intelligent Technologies, (2004) pp. electronic publication.
  5. Generating Rules from Data: Going from Simple to More Uncertain Specifications, with André de Korvin, Neural, Parallel and Scientific Computations, Vol. 12 (2004) pp. 193-206.
  6. Body of Evidence with Fuzzy Consequences, with André de Korvin, the Proceedings of Neural, Parallel and Scientific Computations, Vol. 2 (2002) pp. 145-150.
  7. Determination of Membership Functions with Uncertainty, with André de Korvin, Proceedings of the World Multiconference on Systemics, Cybernetics, and Informatics, Vol. XI (2001) pp. 361-364.
  8. On Firing Rules of Fuzzy Sets of Type II, with André de Korvin and Chenyi Hu, International Journal of Applied Mathematics, Vol. 3 (2000) pp. 151-159.
  9. Concurrency Control When Uncertainty is Present, with Beheshti, Ali Berrached, and André de Korvin, Proceedings of the 4th Annual International Computer Society of Iran Computer Conference, (1999) pp. 34-45.
  10. Performance Analysis Of Relevance Filtering In Distributed Simulation Systems, with Mohsen Beheshti, Ali Berrached, and André de Korvin, the Proceedings of the Second International Conference on Non-Linear Problems in Aviation and Aerospace, Vol. 1 (1998) pp. 103-110.
  11. Autonomous Navigation Systems with Hierarchical Fuzzy Controllers, with Georgi Kutiev, the Proceedings of the Second International Conference on Non-Linear Problems in Aviation and Aerospace, Vol. 2 (1998) pp. 723-730.
  12. Physics-Based Models of Fire Simulation: A Survey, with P. Sharma, O. Bignall, H. Williams, and R. Guha, Proceedings of 1998 Conference on Simulation Methods and Applications, (1998) pp. 272-279.
  13. Evaluation of Grid-Based Data Distribution in the HLA, with Ali Berrached and Mohsen Beheshti, Proceedings of 1998 Conference on Simulation Methods and Applications, (1998) pp. 209-215.
  14. Optimizing Concurrency Control in an OODBS Using Fuzzy Sets, with Mohsen Beheshti, Ali Berrached, and André de Korvin, EXPERSYS-98 Artificial Intelligence Applications, edited by D. A. Jacobs, (1998) pp. 189-195.
  15. Autonomous Control Vehicles Using Fuzzy-Neural Networks, with André de Korvin and Georgi Kutiev, EXPERSYS-98 Artificial Intelligence Applications, edited by D. A. Jacobs, (1998) pp. 25-30.
  16. Computer Security Model Based on Uncertain/Partial Information, with Mohsen Beheshti, André de Korvin, and Chenyi Hu, the Proceedings of International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, (1998) pp. 1840-1845.
  17. On Interval Weighted Three-layer Neural Networks, with Mohsen Beheshti, Ali Berrached, André de Korvin, and Chenyi Hu, the Proceedings of the 31st Simulation Symposium, (1998) pp. 188-194.
  18. Approaches to Multicast Group Allocation in HLA Data Distribution Management, with A. Berrached, M. Beheshti, A. de Korvin, the Proceedings of 1998 Spring Simulation Interoperability Workshop, Vol. 3 (1998) pp. 1063-1068.
  19. Neural Networks with Imprecise and Conflicting Data, with André de Korvin and Georgi Kutiev, Advances in Industrial Engineering Applications and Practice II, edited by J. Chen and A. Mital, Vol. Two (1997) pp. 1085-1090.
  20. Fuzzy Petri Nets for Decision-Making in Uncertain and Variable Environments Uncertain Trustworthiness, with Mohsen Beheshti, André de Korvin, and Chenyi Hu, Neural Parallel and Scientific Computations, Vol. 5 (1997) pp. 309-324.
  21. An Adaptive Environment Modeling Method Under Uncertainty, with Richard Aló, Mohsen Beheshti, André de Korvin, and Chenyi Hu, the Proceedings of Sixth Conference on Computer Generated Forces and Behavioral Representation, (1996) pp. 573-581.
  22. Fuzzy Control is A Universal Control Tool, with V. Kreinovich and H. T. Nguyen, Fuzzy Sets and Systems, 80 (1996) pp. 71-86.
  23. For Neural Networks, Even Approximate Function Determines Form, with V. Kreinovich, P. C. Kainen and V. Kurkov?, the Proceedings of Neural, Parallel and Scientific Computations, Vol. 1 (1995) pp. 424-426.
  24. Sigmoid Neurons Are the Safest Against Additives Errors, with V. Kreinovich and H. T. Nguyen, the Proceedings of Neural, Parallel and Scientific Computations, Vol. 1 (1995) pp. 419-423.
  25. On Approximation of Controls in Distributed Systems by Fuzzy Controllers, with V. Kreinovich and H. T. Nguyen, Fuzzy Logic and Soft Computing, edited by B. Bouchon-Meunier, R. R. Yeager and L. A. Zadeh, World Scientific, 1995 pp. 137-145.
  26. Non-Traditional Neural Networks That Solve One or More Intractable Problem: Propositional Satisfiability, with V. Kreinovich and L. Olac, the Proceedings of Neural, Parallel and Scientific Computations, Vol. 1 (1995) pp. 427-430.
  27. Uniqueness of Network Parametrization and Faster Learning, with V. Kreinovich, P. C. Kainen and V. Kurkov?, Neural Parallel and Scientific Computations, Vol. 2 (1994) pp. 459-466.
  28. An Approximation of Controls in Distributed Systems by Fuzzy Controllers, with V. Kreinovich and H. T. Nguyen, Proceedings of the 5th International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems IPM'94, Paris, July 4-8, 1994 pp. 79-83.
  29. Wavelets Neural Networks Are Asymptotically Optimal Approximators for Functions of One Variable, with V. Kreinovich and S. Cabrera, Proceedings of 1994 IEEE International Conference on Neural Networks, Vol. 1 (1994) pp. 299-304.
  30. Neural Networks That are not Sensitive to the Imprecision of Hardware Neurons, with V. Kreinovich, Interval Computations, Vol. 3 (1993) pp. 100-113.
  31. 3-Layer Neural Networks Are Universal Approximators for Functionals and for Control Strategies, with V. Kreinovich, Neural Parallel and Scientific Computations, Vol. 1 (1993) pp. 325-346.

Mathematics

  1. On Multi-Time Method for Filtering Problems, Dynamic Systems and Applications, Vol. 1 (1992) pp. 205-220.
  2. Large-scale Stochastic Singularly Perturbed Systems, with G. S. Ladde, Mathematics and Computers in Simulations Journal, Vol. 31 (1989) pp. 31-40.
  3. On Near-Optimum Large-scale Regulators, with G. S. Ladde, Modern Optimal control, Lecture Notes in Pure and Applied Mathematics, Edited by E. O. Roxin, Marcel Dekker, Inc., Vol. 119 (1989) pp. 249-257.
  4. On Multi-time Method for Large-scale Filtering, with J. Chandra and G. S. Ladde, International Journal of Systems Sciences, Vol. 19 (1988) pp. 1579-1604.
  5. Near Optimum Regulators for Stochastic Singularly Perturbed Systems, with G. S. Ladde, Journal of Stochastic Analysis and Applications, Vol. 6 (1988) pp. 11-79.
  6. On Near Optimum Regulators for Large-scale Systems, with G. S. Ladde, the VIIth International Conference on Nonlinear Analysis and Application, edited by V. Lakshmikantham, Marcel Dekker, Inc., New York, (1987) pp. 289-300.
  7. Multi-time Scale Singularly Perturbed Linear Stochastic Systems, with G. S. Ladde, Journal of Stochastic Analysis and Applications, Vol. 4 (1986) pp. 213-238.
  8. Singularly Perturbed Stochastic Differential Systems, with G. S. Ladde, the VIth International Conference on Trends in Theory and Practice on Nonlinear Analysis, edited by V. Lakshmikantham, North-Holland, Amsterdam, (1985) pp. 241-248

Mathematics Education

  1. On Categories of Interactive Computational Web Tools, with Linda Becerra and Bill Waller, Proceedings of the Fifth Asian Technology Conference in Mathematics, (2000) pp. 54-63.
  2. Obstacles to Graphically Solving Equations and Inequalities, with Linda Becerra and Bill Waller, Primus, Vol. IX (1999) pp. 107-122.

Other Publications

  1. Fast Polynomial Algorithms that Use Expert Error Estimates for Sensors to Estimate the Error of an Indirect Measurement, with A. Bernat, V. Kreinovich, S. Natarajan, and E. Villa, Center for Fuzzy Logic and Intelligent Systems Research, Texas A&M University, Technical Report, CFL-93-005(1993).
  2. Neural Networks and Trainable Random Number Generators, with V. Kreinovich and Julio Pena, University of Texas at El Paso, Computer Science Department, Technical Report TR92-30 (1992).
  3. Wavelet Neural Networks Are Optimal Approximations for Functions of One Variable, with V. Kreinovich and Sergio Cabrera, University of Texas at El Paso, Computer Science Department, Technical Report, CFL-93-005(1993).
  4. 3-Layer Neural Networks with Time Delay Universal Approximators for Time-Delay Dependencies, with V. Kreinovich, University of Texas at El Paso, Computer Science Department, Technical Report TR92-28 (1992).
  5. Wavelets Compress Better Than All Other Methods: A 1-D Theorem, with V. Kreinovich and Sergio Cabrera, University of Texas at El Paso, Computer Science Department, Technical Report TR92-25 (1992).
  6. Minimal Skills for a College Algebra Student, with Linda Becerra and Bill Waller, Proceedings of The Eighth Annual International Conference on Technology in Collegiate Mathematics, Houston, Texas, November 1995 pp. 35-39.
  7. Reinventing College Algebra, with Linda Becerra and Bill Waller, Proceedings of The Seventh Annual International Conference on Technology in Collegiate Mathematics, Orlando, Florida, November 1994 pp. 505-509.
  8. A Prototype Closed Laboratory for Applied Calculus in a Windows Environment, with Linda Becerra and Bill Waller, Proceedings of The Sixth Annual International Conference on Technology in Collegiate Mathematics, Parsippany, New Jersey, November 1993 pp. 432-438.

Books

  1. College Algebra from a Unified, Laboratory Perspective, with Linda Becerra and Bill Waller, Brooks/Cole Publishing Company, California, 1998.
  2. Student Manual for College Algebra from a Unified, Laboratory Perspective, with Linda Becerra and Bill Waller, Brooks/Cole Publishing Company, California, 1998.
  3. Instructor's Manual for College Algebra from a Unified, Laboratory Perspective, with Linda Becerra and Bill Waller, Brooks/Cole Publishing Company, California, 1998.
  4. Student Manual, with Linda Becerra, Brooks/Cole Publishing Company, California, 1993.
  5. Instructor's Manual for Stewart, Redlin, Watson's College Algebra, with Linda Becerra, Brooks/Cole Publishing Company, California, 1993.

 

 

 

 

 

 

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