Cyber Security: Malware Analysis and Detection, Misbehviour Detection, Intrusion Detection, Threat Intelligence, Misbehavior Detection, Anomaly Detection, and Outlier Detection.

Network Security: Security of Cyber-Physical Systems, Vehicular Ad Hoc Networks, Sensor Networks, Mobile Ad Hoc Networks, Body-Area Networks, and the Internet of Things (IoT).

Artificial Intelligence: Knowledge Discovery & Data Mining: Data-Science, Machine learning, Regression, Classification, Clustering, Pattern Recognition, Big Data, and Deep Learning. 
 

Ethical Hacking, Penetration Testing, Malware Analysis, Incident Response and Digital Forensics, Applied Cyber Forensics, Computer Security, Network Security, Secure Programming, Secure Software Development, Database Security, Computer Security, Object-Oriented Programming using Java, Information Security.

I firmly believe that research and teaching are interconnected. My active engagement in research enriches my teaching by incorporating cutting-edge insights and methodologies into the curriculum. I am enthusiastic about involving students in research projects, exposing them to emerging trends, and inspiring them to pursue their own scholarly endeavours.

My research journey has been defined by a relentless pursuit of understanding and addressing pressing challenges in the field of cyber and information security. As a researcher, I am committed to advancing knowledge, developing innovative solutions, and contributing to the collective effort to secure digital ecosystems against evolving threats. My research agenda is focused on four core pillars: Reactive Security Counter Measures, Cyber Threat Intelligence, and Malware Analysis, and Secure Software Development.

I am interested in collaborating with industry partners to bridge the gap between academia and real-world security needs, translating research findings into practical solutions that safeguard digital assets.