Dr. Yang earned her M.S. and Ph.D. in Computer Science and Software Engineering from Auburn University. Her current research focuses on the areas: 1) Improving the efficiency of auto-code generated by language models (LLMs and SLMs), 2) Intelligent applications of cloud-based AI services to discover effective use of AI technologies, 3) AI-powered secure data sharing and performance-usability analysis among different cloud service providers, and 4)  Software supply chain security utilizing a static analysis framework with source code clone detection techniques. Her research also focuses on computer science and cybersecurity education with the integration of AI, including the participation of women. Yangs research has been supported by NSF, NSA, DOD, and A&M-SA’s Initiative seed 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:

• DOD Air Force Research Lab-Griffiss Institute Grant Project: Virtual Institutes for Cyber and Electromagnetic Spectrum Research and Employ (VICEROY) Southwest Region
• NSF Research Grant Project: CAP: AI-Ready Institution Transforming Tomorrows Research and Education with AI Focused on Health and Security (Jag-AI) 
• NSF Research Grant Project: Building a Smart Mobility Network for the San Antonio Transit to Improve Transit Service and Social Impact (SmartSAT)

 Selected Recent Publications:

• R. Jonnala, J. Yang, Y. Lee, G. Liang, & Z. Cao, “Measuring and Improving the Efficiency of Python Code Generated by LLMs using CoT and Fine Tuning,” IEEE Access, 2025.
• D. Delgado, J. Yang, M. Abdel-Rahman, & Y. Lee, “Infrastructures of Inequality and Enclaves of Inaccessibility: Understanding Public Transit’s Role in the Maintenance of Race and Class Segregation in San Antonio, Texas,” Critical Sociology, 2025, DOI: 10.1177/08969205251355278/ ID: CRS-24-0191.R4.
• 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