معرفی
Xinda Wang is an Assistant Professor in the Department of Computer Science at The University of Texas at Dallas. He earned his Ph.D. from George Mason University’s Center for Secure Information Systems in 2023, honored with the Outstanding Dissertation Award. His research focuses on software security, particularly applying machine/deep learning for vulnerability detection, patch management, and program analysis, with additional interests in AI security and systems security.
Education:
- Ph.D., George Mason University, 2023
- Advisor: Dr. Kun Sun
Research Interests:
- Machine learning for vulnerability detection (e.g., NLP-based models)
- Security patch identification and analysis
- Federated learning for secure distributed systems
- Binary code analysis and graph-based methods
- Cross-language security patch studies
Recent Articles Trends: Focus on advancing AI-driven cybersecurity tools (e.g., GraphSPD, FedCAP) and bridging industry-academia gaps in vulnerability management. Recent work includes empirical studies on multi-language patches, security patch detection in binary code, and adversarial attacks on code analysis models.
Awards:
- Grace Hopper Celebration Faculty Scholarship (2023)
- Outstanding Dissertation Award (2023)
- Multiple IEEE travel grants and best paper nominations
Advising & Grants: Advised PhD students like Youpeng Li and Weiliang Qi. Received NSF Aspiring PI Workshop grant (2024) and UTD’s WiCyS 2025 Platinum Sponsorship support. Led projects funded by Meta collaborations and industry partnerships.
Labs/Teams: Core contributor to Sun Lab at George Mason University (developed GraphSPD and PatchDB) and currently leading security research at UTD’s Computer Science department.
