Faculty Profiles

Colleges and Departments

Dr. Byron Gao

  • Associate Professor - Computer Science
Portrait of Dr. Byron Gao

Biography and expertise

Byron Gao is an associate professor of computer science at Texas State University. He joined Texas State in 2008, was a postdoctoral fellow at the University of Wisconsin in 2007-2008, and received Ph.D. in 2007 and B.Sc. in 2003 from Simon Fraser University. His research spans several related fields of data mining, databases, information retrieval and bioinformatics.

Education

Doctorate Degree

PhD in Computer Science

Simon Fraser University, 2007

Bachelor's Degree

BS in Computer Science

Simon Fraser University, 2003

  • Ngu, Anne H. (Principal), Percent Contribution: %50, Gao, Ju (Co-Principal), Percent Contribution: %50. REU SITE: Multidisciplinary Research Experiences for Undergraduates in Internet of Things, NSF-CISE, Federal, $323481. (Funded: March 1, 2014 - February 18, 2019). Grant.
  • Lu, Yijuan (Principal), Ngu, Anne H. (Co-Principal), Gao, Ju (Co-Principal), Chen, Xiao (Co-Principal), Qasem, Apan Muhammad (Co-Principal). II-NEW: Shared High Performance Data Center, NSF CISE CRI Program, Federal, $375756. (Funded: 2013 - 2019). Grant.
  • Ngu, Anne H. (Principal), Percent Contribution: %50, Gao, Ju (Co-Principal), Percent Contribution: %50. REU Site: Research Experiences in New Paradigms of Information Retrieval from Diverse Data, NSF-OCI, Federal, $359827. (Funded: March 1, 2011 - February 28, 2014). Grant.
  • Metsis, Vangelis (Principal), Ngu, Hee Hiong (Co-Principal), Gao, Ju (Co-Principal), Shi, Hongchi (Co-Principal), Guirguis, Mina S (Co-Principal), Gu, Qijun (Co-Principal). Graduate Assistance in Areas of National Need (GAANN), U.S. Department of Education, Federal, $728150. (Submitted: February 2021, Funded: October 1, 2021 - September 30, 2026). Grant.
  • Ngu, Anne H.H. (Principal), Gao, Byron J. (Co-Principal). Research Experiences for Teachers (RET) Supplements, NSF, Federal, $20000. (Funded: June 1, 2016 - May 30, 2017). Grant.
View all grants
  • Danso, J. M., Mylene, Q. de F., & Gao, B. J. (n.d.). An Ensemble Graph-Based Deep Learning Framework Integrating Phenotypic and fMRI Data for Autism Classification. In 2026 IEEE 23rd International Symposium on Biomedical Imaging.
  • Feng, Y., Zhang, P., & Gao, B. J. (2025). Multiobjective Learning for Training Interpretable and Sparse Neural Networks. In The 12th International Conference on Information Technology and Quantitative Management.
  • Gao, B. J. (2024). Introducing the Converse k-clustering problem. In IEEE International Conference on Big Data.
  • Gao, B. J. (2023). Introducing the partial clustering problem. In IEEE International Conference on Big Data.
  • Sotelo Jimenez, R. J., Medishetty, B., & Gao, B. J. (2022). COMPA: A Comparative Retrieval and Analytical Engine for Consumer Products. In IEEE International Conference on Big Data.
View all scholarly/creative works
  • Award / Honor Recipient: Named by one graduate as a person at Texas State University who made a contribution to their academic career. 2019
  • Award / Honor Recipient: Keynote Speech Invitation from ICDS 2019 conference, The Sixth International Conference on Data Science. May 2019
  • Award / Honor Recipient: Named by 2 graduates as a person at Texas State University who made a contribution to their academic career. 2016
  • Award / Honor Recipient: Named by one graduate as a person at Texas State University who made a contribution to their academic career. 2014
  • Award / Honor Recipient: Favorite Professor, Alpha Chi National College Honor Society. 2013
View all awards
  1. Chair

    Search Committee

  2. Member

    Search Committee

  3. Member

    Scholarship Committee

  4. Member

    Graduate Committee

  5. Reviewer / Referee

    SIAM International Conference on Data Mining (SDM)

  6. Reviewer / Referee

    National Conference on Artificial Intelligence (AAAI)

  7. View all activities