The IQSeC Lab develops practical, forward-looking research at the intersection of machine learning, cybersecurity, and quantum security. Our work spans malware analysis, traffic analysis, intelligent cyberdefense, and quantum-secure communication, with a particular emphasis on preparing security systems for the post-quantum era.
We build adaptive malware analysis and detection systems that remain effective as threats, software behavior, and data distributions change over time.
We study how intelligent methods can reveal, measure, and defend against privacy and security risks in modern networked systems and encrypted traffic.
Quantum security is a central focus of the lab. We study how communication and cyberdefense systems should evolve in the presence of quantum capabilities, from analyzing post-quantum vulnerabilities to designing quantum-secure communication frameworks.
The IQSeC Lab is fortunate to have a group of bright and dedicated students who contribute to advancing our research.
The IQSeC Lab collaborates with respected academic institutions and industry to advance research. These partnerships enable us to leverage complementary expertise and perspectives in pursuit of shared research goals.
A prospective PhD student should hold a bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, or a related field. The ideal candidate is motivated to conduct research in machine learning and cybersecurity and demonstrates proficiency in at least three of the preferred skills listed.
My goal is to provide resources and guidance to help students become strong, independent researchers.