Sang Suh, Ph.D.
Regents Professor

  • Faculty
Computer Science & Information Systems
Contact
Office
Journalism 223
Related Department
Computer Science and Information Systems

Educational Background

  • Ph.D., Computer Science, Southern Methodist University, 1990
  • MS, Computer Science, University of Hawaii, 1986

Academic Positions

  • Department Head and Associate Professor, Computer Science & Information Systems, Texas A&M University-Commerce, 1991-present
  • Instructor, Computer Science & Engineering, Southern Methodist University, 1990-1991

Selected Publications

  • Sang C. Suh, M. Yang, Jack Yang, H. Arabnia “World Congress on Computer Science, Computer Engineering and Applied Computing Keynote Lecture: The impact of supercomputing in the next generation sequencing data mining”, World Congress on Computer Science, Computer Engineering and Applied Computing, July 13-17, 2009 Las Vegas, Nevada, USA. In Proceedings of The 2009 International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA’09) , CSREA Press, 2009.
  • Sang C. Suh, M. Yang, Jack Yang, H. Arabnia “Plenary Keynote Lecture Note: Next Generation Sequence Generation Sequencing Technologies Foster the New Initiatives of High-Performance Computing” In Proceedings of International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing”. Library of Congress Number 2009904091, ISBN 978-0-7695-3739-9, IEEE Computer Society Order Number P3739, BMS Part Number CFP0935H-PRT, IEEE Press 2009.
  • Sang C. Suh, Jack Yang, M. Yang, H. Arabnia “Next Generation Sequence Analysis Using Genetic Algorithms on Multi-core” In Proceedings of International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing”, p.p. 190-194. Library of Congress Number 2009904091, ISBN 978-0-7695-3739-9, IEEE Computer Society Order Number P3739, BMS Part Number CFP0935H-PRT, IEEE Press 2009.
  • Sang C. Suh and Nagendra Babu Pabbisetty, “A Conceptual Hierarchy-Based Approach For The Extraction of Medical Knowledge in Psychiatric Diseases”, Intelligent Engineering Systems Through Artificial Neural Networks Vol. 18, pp. 210-218 , ASME Press, New York, 2008, ISBN 0-7917-0268-5.
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