About
I am a Doctoral Researcher with a thesis titled "Intelligent Detection of Adversarial Cyberattacks and Anomalies in Cyber-Physical Systems and IoT," seeking an Assistant Professor position in cybersecurity, artificial intelligence, and intelligent systems. My research extensively leverages Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), and Federated Learning (FL) to develop advanced and resilient intrusion detection systems for cyber-physical systems and IoT networks. I am deeply committed to advancing interdisciplinary and application-driven research in AI-powered cybersecurity, while also contributing to the academic community through high-quality publications, collaborative projects, curriculum development, and student mentorship. I strive to foster an innovative teaching and research environment that empowers the next generation of engineers and researchers to tackle emerging security challenges in critical digital infrastructures.