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Last updated 20th August 2025
Biography
Dr Saad Khan is a Senior Lecturer at Cyber Security in the Department of Computer Science, School of Computing and Engineering, University of Huddersfield. He completed his PhD in late 2019. He has previously worked in both industry and academia as a security researcher. He is a Fellow of the Higher Education Academy. He has taught on several under- and post-graduate modules at the University of Huddersfield. He is currently the main supervisor for 2 PhD students.
Dr Khan's research interest is in developing intelligent systems for cyber security and digital forensics. This involves various research areas such as Security Information and Event Management (SIEM), access control and authentication, vulnerability assessment, anomaly detection, and image forensics. His research is determined to address the shortage of security expertise and knowledge by developing automated software tools that are capable of keeping the digital infrastructure secure against modern malicious attacks.
Dr Khan is a frequent reviewer for various Journals and Conferences and is part of programme and organising committees. He has also been part of a team that secured 3 government funded projects (Innovate UK, DCMS, and DASA) to perform commercial research and development.
Research Expertise and Interests
- Cyber Security
- Artificial Intellegence
- Machine Learning
- Access Control
- Biometrics
- Authentication
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 4 Quality Education -
SDG 7 Affordable and Clean Energy -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 16 Peace, Justice and Strong Institutions
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Collaborations and top research areas from the last five years
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Cybersecurity in intelligent railway systems: Taxonomy, research trends, challenges, and future directions
Abukeshek, M., Al-Mhiqani, M., Parkinson, S., Khan, S. & Bearfield, G., 1 Apr 2026, In: Computers and Electrical Engineering. 132, 37 p., 110994.Research output: Contribution to journal › Article › peer-review
Open Access -
Event Log Correlation for Multi‐Step Attack Detection
Shaukat, S. U., Khan, S. & Parkinson, S., 1 Jan 2026, In: SECURITY AND PRIVACY. 9, 1, 19 p., e70151.Research output: Contribution to journal › Article › peer-review
Open Access -
A contextual framework to standardise the communication of machine learning cyber security characteristics
Alshaikh, O., Parkinson, S. & Khan, S., 1 Aug 2025, In: Computer Standards and Interfaces. 94, 27 p., 104015.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
A Review on Multi-step Attack Detection
Shaukat, S. U., Khan, S. & Parkinson, S., 19 Sept 2025, In: IEEE Access. 13, p. 161779-161805 27 p., 11153648.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
A survey of deep learning for face presentation attack detection
Sheikhfathollahi, M., Parkinson, S., Hill, R. & Khan, S., 1 Nov 2025, In: Neurocomputing. 652, 19 p., 131136.Research output: Contribution to journal › Article › peer-review
Open Access
Activities
- 1 Oral presentation
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Automated Planning for Administrating Role-Based Access Control
Parkinson, S. (Speaker), Khan, S. (Speaker) & Chrpa, L. (Speaker)
22 Oct 2020Activity: Talk or presentation types › Oral presentation