Saad Khan

Dr. Saad Khan is a Senior Lecturer in Cyber Security at the Department of Computer Science, School of Computing and Engineering, University of Huddersfield, United Kingdom. He is an active researcher and educator, supervising multiple PhD students and contributing to government-funded cybersecurity projects with Innovate UK, DCMS, and DASA. He is also a Fellow of the Higher Education Academy and serves on program committees for major conferences.

His research focuses on intelligent systems for cyber security and digital forensics. Key areas include Security Information and Event Management (SIEM), access control, authentication, vulnerability assessment, anomaly detection, and image forensics. He aims to develop automated software tools that enhance digital infrastructure resilience against modern cyber threats.

The recent publications reflect a strong trend in applying machine learning and AI to cybersecurity challenges, particularly in IoT security, zero-day attack detection, and human-centric security awareness. His work bridges technical innovation with practical implementation in real-world environments.

Scientific Awards:

• Fellow of the Higher Education Academy

Dr. Khan actively supervises PhD students and contributes to research grants through collaborations with UK government agencies. He has led work in three major funded projects and regularly reviews for top-tier journals and conferences.

He is a member of the Centre for Cybersecurity at the University of Huddersfield, where he collaborates on interdisciplinary research initiatives focused on secure digital transformation and intelligent defense systems.