B.Sc. Mathematics · M.C.A. · Ph.D. — with over 21 years across academia, research and industry. My work builds resilient, self-healing cyber-physical systems, combining adversarial machine learning with hardware-rooted security to protect critical infrastructure.
"From passive defense to active, self-healing autonomy."
I am a Computer Science researcher and educator dedicated to ensuring the survivability of critical infrastructure in an increasingly hostile threat landscape. My research focuses on the transition from passive defense to active, self-healing autonomy within cyber-physical systems. By integrating hardware-rooted monitoring with robust machine learning algorithms, I develop architectures capable of autonomously detecting, isolating and recovering from cyber threats — from medical devices to power grids. With over two decades spanning academia and industry, I am passionate about teaching analytical and logical reasoning, mentoring the next generation of engineers, and driving research that moves beyond theory to tangible, scalable security solutions.
Teaching and research in computing and informatics. Course Coordinator since 2014, member of the BSIT/BSDS Course Improvement, Steering and Exam Committees, and supervisor of final-year projects for eleven years.
Taught postgraduate computer applications, guided student projects and served as placement coordinator.
Delivered undergraduate courses in programming, databases and software engineering fundamentals.
Industry experience building and testing production healthcare software.
Taught in the Department of Computer Science, laying the foundation for two decades in academia.
Granted patent (GB Patent No. 6493365, 2025) covering a device for detecting cyber threats and monitoring intrusions through hardware-rooted telemetry.
Authored monograph published by Kiwi International Publishing House (2025), ISBN 978-93-49818-44-6, covering the design and security of cyber-physical systems.
Major funded research project at Saudi Electronic University (2023–2024) applying architecture-centric virtual integration to Internet of Things systems. Role: Co-Principal Investigator.
Ongoing research on closed-loop, autonomous architectures that detect, isolate and recover from intrusions in medical IoT and smart energy grids.
View or download the full academic CV below.
Open to research collaboration, speaking invitations, consulting and student supervision.