Jeong Yang PhD


Jeong Yang PhD

College Of Arts And Sciences

Department of Computational, Engineering and Mathematical Sciences


Director for Information Technology and Cyber Security and Associate Professor

Science and TechnologyRoom 211R
210-784-2315
jeong.yang@tamusa.edu
View CV

Dr. Yang earned her M.S. and Ph.D. in Computer Science and Software Engineering from Auburn University. Her current research is focused on the areas: 1) Intelligent applications of cloud-based AI services to discover effective use of AI technologies, 2) AI-powered secure data sharing and performance-usability analysis among different cloud service providers, 3)  Software supply chain security utilizing a static analysis framework with source code clone detection techniques, and 4) Development of Cyber Security Modules with their implementations and evaluations. Her research also focuses on computer science and cybersecurity education, including the participation of women. The research has been supported by NSF, NSA, DOD, and A&M-SA’s Initiative seed fund grants. She is the recipient of Facebook Cybersecurity Academic Scholarships, A&M-SA’s Distinguished Faculty Award for Scholarly, Research, or Artistic Achievement, and Jag Women Rock! The Malala Yousafzal Award.  

Externally Funded Active Grant Projects as PI:

 Selected Recent Publications:

  • Yang, J.; Abraham, A. “Analyzing the Features, Usability, and Performance of Deploying a Containerized Mobile Web Application on Serverless Cloud Platforms.” Future Internet 2024, 16, 475. https://doi.org/10.3390/fi16120475
  • Y. Lee, J. Yang, M. Abdel-Rahman, & D. Delgado, “SmartSAT:A Customizable Mobile-Web App toward Improving the Efficiency and Equitable Access of San Antonio Public Services,” 2024, Software Impacts, https://doi.org/10.1016/j.simpa.2024.100714.
  • Kishiyama, B.; Lee, Y.; Yang, J. “VulRepair’s Perfect Prediction by Leveraging the LION Optimizer.” Applied Sciences - Computing and Artificial Intelligence, Special Issue-Cyber Security and Software Engineering. 2024. Appl. Sci.2024, 14(13), 5750; https://doi.org/10.3390/app14135750.
  • H. Wang, B. Kishiyama, D. Lopez, & J. Yang, “An Overview of Infrastructure as Code (IaC) with Performance and Availability Assessment on Google Cloud Platform,” 2024 Springer Book Series: Lecture Notes in Networks and Systems, https://link.springer.com/chapter/10.1007/978-3-031-56950-0_41
  • H. Wang, J. Yang, G. Liang, Y. Lee, & Z. Cao, “Analyzing the Performance, Usability, and Cost-Efficiency of Deploying ML Models on BigQuery ML and Vertex AI in Google Cloud,” 2024 Internation Conference on Cloud and Big Data Computing, ACM, https://dl.acm.org/doi/10.1145/3694860.3694863
  • Y. Kim, J. Yang, Y. Lee, & B. Earwood, “Assessing Cyber Security Problem-Solving Skills of Engineering Students Through Model-Eliciting Activities Using an Analytic Rubric,” 2023, IEEE Access, DOI:10.1109/ACCESS.2023.3348554
  • A. Abraham & J. Yang, “A Comparative Analysis of Performance and Usability on Serverless and Server-Based Google Cloud Services,” 2023 Springer Book Series: Lecture Notes in Networks and Systems, https://doi.org/10.1007/978-3-031-33743-7_33.
  • J. Yang, Y. Lee, W. Noonan, and A. Abraham. 2022. Demo Abstract: SmartSAT - A Customizable Secure App for San Antonio Transit Pilot Project. In Proceedings of the 20th ACM International Symposium on Mobility Management and Wireless Access (MobiWac 22). ACM, New York, NY, USA, https://doi.org/10.1145/3551660.3560910
  • Yang J., Lee Y., McDonald A.P*. (2021) SolarWinds Software Supply Chain Security: Better Protection with Enforced Policies and Technologies. In: Lee R. (eds) Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. SNPD 2021. Studies in Computational Intelligence, vol 1012. Springer, Cham. https://doi.org/10.1007/978-3-030-92317-4_4

Course Teachings

SubjectNumberSectionDescriptionTermSyllabi
CSCI 3343 001 Algorithms Spring 2025 Syllabus
CSCI 5395 001 Thesis Spring 2025 Syllabus
CSCI 5343 001 Algorithms Spring 2025 Syllabus