Arastoo Zibaeirad

Profile Picture

I am a Ph.D. student in Computer Science at the University of North Carolina at Charlotte, advised by Dr. Marco Vieira. My research focuses on using Large Language Models (LLMs) for software security, with a particular emphasis on vulnerability detection, automated program repair, and dataset development to support these tasks.
I am currently working on building high-quality, task-specific datasets that enable more effective training and evaluation of LLMs for software vulnerability detection and patch generation. My broader background spans network security, software security, and adversarial machine learning. I apply LLMs to key tasks in software engineering and cybersecurity, such as static code analysis, patch synthesis, and secure code generation.


I love connecting with other tech enthusiasts and professionals. If you’re interested in collaboration, have a challenging question related to my research, or are working on similar software and security challenges, feel free to reach out!


Education:

  • M.Sc. in Computer Science, University of North Carolina at Charlotte
  • B.Sc. in Electrical Engineering, Iran University of Science and Technology

Mentorship and Support 💪
I dedicate 2 hours each week to mentoring and supporting students pursuing a PhD at universities. Whether it’s guidance on research, career development, or navigating life as a graduate student, I’m here to help. I especially encourage individuals from underrepresented backgrounds to connect with me via email or any platform—your journey matters, and I’m here to support it.

Curriculum Vitae

Research Interests


Large Language Models, software reliability, vulnerability detection


Selected Publications


Publication 3

Zibaeirad, Arastoo, & Vieira, M. (2025). Reasoning with LLMs for Zero-Shot Vulnerability Detection. arXiv preprint arXiv:2503.17885.




Publication 2

Zibaeirad, Arastoo, & Vieira, M. (2024). VulnLLMEval: A Framework for Evaluating Large Language Models in Software Vulnerability Detection and Patching. arXiv preprint arXiv:2409.10756.




Publication 1

Zibaeirad, Arastoo, Koleini, Farnoosh, Bi, Shengping, Hou, Tao, and Wang, Tao (2024). A Comprehensive Survey on the Security of Smart Grid: Challenges, Mitigations, and Future Research Opportunities. arXiv preprint arXiv:2407.07966.