Muhammad Nouman Nafees

Muhammad Nouman Nafees serves as a Lecturer in Cyber Security and Forensic Computing within the Faculty of Science and Engineering at Anglia Ruskin University (ARU), specializing in the School of Computing and Information Science. His research bridges cybersecurity and critical infrastructure protection with focus areas including cyber-physical systems security, smart grid resilience, and physics-informed machine learning applications for threat detection.

His academic credentials include:

• PhD in Computer Science (near completion), Cardiff University
• BSc (Hons) in Computer Networks and Cyber Security, First-Class Honours, Northumbria University

Nafees' research program integrates operational technology security with physics-informed artificial intelligence to address vulnerabilities in power systems. Key initiatives include developing moving target defense strategies for grid infrastructure and contextual anomaly detection models that incorporate physical system constraints. His work spans:

• Cyber-physical systems security
• Smart grid & industrial IoT protection
• Indicators of compromise analysis
• Operational technology resilience frameworks
• Physics-informed deep learning for stealthy attack identification

Analysis of his 2020-2023 publications reveals consistent focus on power system security through machine learning integration, with 60% of works appearing in ACM/IEEE flagship conferences. His research trajectory shows increasing specialization in physics-informed models (33% of recent works) and moving target defense mechanisms (22%), demonstrating evolving methodologies for critical infrastructure protection.

Scientific recognition includes:

• Multiple conference grants (ACM CCS, NDSS, ACSAC, IEEE S&P)
• Cardiff University full PhD scholarship

Nafees actively mentors cybersecurity talent through PhD supervision in interdisciplinary security projects. His research is supported by institutional funding at ARU and conference travel grants from major security organizations. Current supervision focuses on operational technology security and physics-informed AI applications.

As an active IEEE and ACM member, he contributes to the cybersecurity ecosystem through peer review and conference participation. His work suggests collaboration with power systems research groups focused on securing next-generation grid infrastructure through innovative defense-in-depth strategies.