My research interests lie at the intersection of Artificial Intelligence (AI), Machine Learning (ML), Cybersecurity, Explainable Artificial Intelligence, Blockchain, and the Internet of Things. I am particularly interested in developing intelligent, trustworthy, and secure artificial intelligence-driven solutions to address emerging cybersecurity challenges. My research focuses on designing robust, explainable, and adaptive machine learning and deep learning models for cyber threat detection, network security, and intelligent defense against evolving cyberattacks.

I am actively exploring the application of Large Language Models in cybersecurity, particularly for artificial intelligence-assisted penetration testing, vulnerability analysis, and intelligent security automation. In addition, I am interested in exploring the potential of Quantum Computing and Quantum Machine Learning to address future cybersecurity challenges and develop next-generation secure and intelligent computing systems. 

My research interests include:

Areas I am keen to explore include:

I am passionate about continuous learning and driven by the opportunity to explore emerging technologies, interdisciplinary research areas, and innovative methodologies. I enjoy collaborating with researchers from diverse disciplines, expanding my research expertise, and applying advanced computational techniques to address real-world cybersecurity challenges.

Through my research, I aspire to develop intelligent, explainable, trustworthy, and resilient cybersecurity solutions that advance the security, transparency, and reliability of next-generation digital systems. My long-term goal is to contribute to impactful and interdisciplinary research at the intersection of artificial intelligence, cybersecurity, and emerging computing technologies, fostering innovative solutions to complex security challenges with real-world societal impact.