Current Research & Interests

My academic and research interests center on advancing softare and system security in an ever-evolving digital cosmos. I am particularly keen on building secure and reliable systems, leveraging machine learning to enhance both detection and defense mechanisms, making systems smarter and more adaptive to emerging threats. To uncover hidden vulnerabilities, I would explore innovative approaches, including but not limited to:

• fuzzing techniques to automate the discovery of security flaws by triggering exceptions dynamically,
• reverse engineering methods to study binary executables in a black-box manner when source code is unavailable,
• type-safety to ensure robust software design from the ground up without compromising performance,
• mitigating TOCTOU¹ loopholes due to race conditions in concurrent systems, and
• privacy leakages analysis from cross-platform data correlation (sensors, tracking networks, third-party integrations, etc.)