I am a tenure-track Assistant Professor in the Department of Computer Science and Engineering at Oakland University, starting in Fall 2026.

My research lies at the intersection of Software Engineering, Software Security, and Artificial Intelligence. I develop data-centric and AI-assisted techniques for software vulnerability detection, classification, repair, benchmarking, and security dataset construction.

News

• 06/2026: Our paper Assessing and Improving Prompting Large Language Models for Software Vulnerability Analysis was accepted to ACM TOSEM.
• 04/2026: I will join the Department of Computer Science and Engineering at Oakland University as a tenure-track assistant professor in Fall 2026.
• 10/2025: Our paper Exploring and Improving Real-World Vulnerability Data Generation via Prompting Large Language Models was accepted to ICSE 2026.
• 08/2025: I presented our paper APPATCH: Automated Adaptive Prompting Large Language Models for Real-World Software Vulnerability Patching at USENIX Security 2025 in Seattle, WA.
• 08/2025: I received a student travel grant from USENIX Security 2025.
• 04/2025: I received a travel grant from IEEE S&P 2025.
• 03/2025: Our paper Code Speaks Louder: Exploring Security and Privacy Relevant Regional Variations in Mobile Applications was accepted to IEEE S&P 2025.
• 01/2025: Our paper APPATCH: Automated Adaptive Prompting Large Language Models for Real-World Software Vulnerability Patching was accepted to USENIX Security 2025.
• 10/2023: Our paper VGX: Large-Scale Sample Generation for Boosting Learning-Based Software Vulnerability Analyses was accepted to ICSE 2024.
• 12/2022: Our paper VulGen: Realistic Vulnerable Sample Generation via Pattern Mining and Deep Learning was accepted to ICSE 2023.
• 06/2022: Our paper Generating Realistic Vulnerabilities via Neural Code Editing: An Empirical Study was accepted to FSE 2022.
• 05/2021: Our paper Evaluating and comparing memory error vulnerability detectors was accepted to IST.