Jie Lin

Jie Lin is a Lecturer in the Department of Computer Science at the University of Central Florida. He holds a Ph.D. in Computer Science from UCF, with research emphasizing security, privacy, vulnerability analysis, and applications of large language models and deep learning. His scholarly work focuses on empirical evaluations to enhance AI-driven security systems.

Lin's educational journey includes:

• Ph.D. in Computer Science, University of Central Florida
• M.S. in Computer Science, Emory University
• B.S. in Computer Science and Mathematics, Ursinus College

His research interests span computer security, privacy, vulnerability analysis, and the application of artificial intelligence, particularly large language models and deep learning, to security challenges. Lin investigates the robustness of LLMs, vulnerability detection in source code, context window optimization, and hallucination mitigation. His work aims to develop practical strategies for more secure AI systems through rigorous empirical evaluation.

Lin's recent publications (2023-2025) reveal a strong focus on leveraging large language models for vulnerability detection. His studies examine how context window variations affect detection performance and compare different LLMs in security tasks. This research trajectory underscores the potential of AI to transform cybersecurity practices.

Prior to his current role, Lin worked as a full-stack software developer and manager in business operations, including merchandise trading and real estate. As a graduate teaching assistant at UCF, he employed hands-on teaching methods to create engaging learning environments that foster critical thinking and problem-solving skills in computer science and cybersecurity.