QuocNam Tran

QuocNam Tran

Professor

COMPUTER SCIENCE

Arts & Sciences 208

Phone: (605) 677-5388

Email: QuocNam.Tran@usd.edu

Bio:

After receiving the "Goedel Prize" for The Best Ph.D. Dissertation of The Year in 1996 from the Research Institute for Symbolic Computation, Johannes Kepler University of Linz , Dr. Tran has been on his professor positions at university in Austria, Texas and South Dakota. Dr. Tran has been the advisor for Thesis' work of many Master and PhD students. Since 2009, Dr. Tran has served the Review Panels for National Science Foundation CCLI program, CCF-AF program and CCF-Engineering program. Dr. Tran has published 62 research publications including research books. He also has industrial experiment in developing the software tools. He has been supported by nine research grants including four NSF awards.


Teaching Interests:

I have taught a wide range of courses for both graduate and undergraduate students. My teaching philosophy is that our students deserve a strong background on programming and theoretical foundations of computer science together with a strong knowledge on state-of-the-art research areas in computer science and applications so they can be well prepared for their future academic or industrial career.


Research Interests:

My research are focused on the following areas: (a) Computer Science Theory: Computational Methods and Algorithmic Foundations. Especially, the Theory of Groebner Bases; (b) Computational Methods in Bio-Informatics; and (c) High Performance Computing. I have received 11 grants with a total amount of $674,000 including 5 grants from the National Science Foundation (NSF). I have served many National Science Foundation's Panels for reviewing computer science proposals submitted to the CISE and DUE programs since 2009.


Education:

  • Ph D, Computer Science, Johannes Kepler University of Linz, 1996
  • MS, Computer Science, Asian Institute of Technology (AIT), 1992
  • BS, Mathematics/Computer Science, The University of Hochiminh City, 1984

Grants:

  • AF: Small: Collaborative Research: Efficient Groebner Basis Computation in Boolean Rings for Temporal Logic Reasoning and Model Checking, National Science Foundation. (2014 - 2015)
  • Collaborative Research: Efficient Groebner Basis Computation in Boolean Rings for Temporal Logic Reasoning and Model Checking, National Science Foundation. (2009 - 2013)
  • International Conference on Applications of Symbolic Computation, National Science Foundation. (2004 - 2005)

Publications:

Citations listed below are presented in a standardized, modified format for display purposes only. They do not necessarily reflect the preferred style and conventions of the faculty member or discipline.

  • Tran, Quoc-Nam, and Wallinga, Mike. Quasi-Optimal Multiple Sequence Alignments. Vol. 1, Iss. 1. Los Angeles, CA : Journal of Health Informatics & Management, 2017.
  • Tran, Quoc-Nam, and Tran, Quoc-Nam. Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology, 558. New York: Springer - Elsevier, 2016.
  • Tran, Quoc-Nam. Selection of Genes Using Long-term Influence and Sensitivity Analysis. In Proceedings of the 6th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB). ACM, 2015. (DOI: 10.1145/2808719.2814842)
  • Tran, Quoc-Nam. A NOVEL ALGORITHM FOR FINDING LONGTERM INFLUENCE AND SENSITIVITY OF GENES IN PROBABILISTIC GENETIC REGULATORY NETWORKS. In Proceedings of the International Conference on Bioinformatics and Computational Biology. Biocomp 2015, 2015.
  • Tran, Quoc-Nam, and Arabnia, Hamid. Emerging Trends in Computational Biology, Bioinformatics, and System Biology. In Emerging Trends in Computational Biology, Bioinformatics, and System Biology, 600. New York, New York: Elsevier Publisher, 2015.
  • Tran, Quoc-Nam. A novel method for finding non-small cell lung cancer diagnosis biomarkers, 1-10. Vol. 6, Iss. S11. BMC Medical Genomics, 2013. (DOI: 10.1186/1755-8794-6-S1-S11)
  • Tran, Quoc-Nam, and Arabnia, Hamid. Software Tools and Algorithms for Biological Systems. In Software Tools and Algorithms for Biological Systems, 778. New York, New York: Springer Publisher, 2011.
  • Tran, Quoc-Nam. Computer Science Reviews and Trends. In Repurposing Legacy Data: Innovative Case Studies. Morgan Kaufmann publishers.

Awards and Honors:

  • Recognition and Appreciation of Service and Research Contributions to the Field of Computer Science, World Congress in Computer Science, Computer Engineering and Applied Computing, 2012
  • recommended for a Fulbright Scholar Award, Fulbright Foundation, 2012
  • University Merit Award for Distinguished Teaching, Lamar University, 2004
  • Best Dissertation of the Year, Research Institute for Symbolic Computation, Johannes Kepler University of Linz, 1996

Presentations:

  • Tran, Quoc-Nam. Entropy Guided Particle Swarm Optimization. Presented at the 2015 International Conference on Computational Science and Computational Intelligence (CSCI) , Las Vegas, USA. (December 7, 2015)