Research output per year
Research output per year
Personal profile
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16 from 1,061 citations
Last updated 17th April 2024
Biography
Mohammed N. Al-Mhiqani is a lecturer in Cyber Security at the School of Computing and Engineering at the University of Huddersfield. Before joining the University of Huddersfield, he worked as a postdoctoral research associate in the School of Computing and Mathematics at Keele University on two cybersecurity projects within the EPSRC-funded PETRAS National Centre of Excellence for IoT Systems Cybersecurity. The two projects are "Modelling for Socio-Technical Security (MASS)" and "Cognitive and Socio-Technical Cybersecurity for Modern Railway Systems (CoSTCMoRS)". He holds a BSc in Computer Science with a specialization in Computer Networking, an MSc in Computer Science with a focus on Internetworking Technology, and a PhD in Cyber Security and Artificial Intelligence from Universiti Teknikal Malaysia Melaka. His research interests encompass a wide range of areas, including cybersecurity, cyber-physical systems security, insider threats, artificial intelligence, socio-technical security, and health informatics.
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):
Research Expertise and Interests
- Cyber Security
- Insider threat
- Artificial intelligence
- Networks
- Cyber-physical Systems Security
- Health informatics
- Multi-criteria decision-making
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Insider threat detection in cyber-physical systems: a systematic literature review
Al-Mhiqani, M. N., Alsboui, T., Al-Shehari, T., Abdulkareem, K. H., Ahmad, R. & Mohammed, M. A., 1 Oct 2024, In: Computers and Electrical Engineering. 119, Part A, 27 p., 109489.Research output: Contribution to journal › Literature review › peer-review
Open Access -
Taxonomy of Emerging Security Risks in Digital Railway
Al-Mhiqani, M., Ani, U., Watson, J. & He, H., 18 Feb 2024, Proceedings of the International Conference on Cybersecurity, Situational Awareness and Social Media: Cyber Science 2023; 03–04 July; University of Aalborg, Copenhagen, Denmark. Onwubiko, C., Rosati, P., Rege, A., Erola, A., Bellekens, X., Hindy, H. & Jaatun, M. G. (eds.). 1st ed. Springer Singapore, p. 251-281 31 p. (Springer Proceedings in Complexity).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Anomaly Detection in Complex Power Grid using Organic Combination of Various Deep Learning (OC-VDL)
Diame, T. A., Jabbar, K. A., Taha, A., Hussien, N. A., Alatba, S. R., Al-Mhiqani, M. N. & Rajinikanth, V., 1 Oct 2023, In: Journal of Intelligent Systems and Internet of Things. 9, 2, p. 78-92 15 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
A Study on Artificial Intelligence-based Security Techniques for IoT-based Systems
Al-Tahee, M., Mahdi Hussin, M. S., Alsalhy, M. J., Diame, H. A., Haroon, N. H., Bafjaish, S. S. & Al-Mhiqani, M. N., 1 Oct 2023, In: Fusion: Practice and Applications. 13, 1, p. 147-161 15 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Adaptive Deep Learning Detection Model for Multi-Foggy Images
Arif, Z. H., Mahmoud, M. A., Abdulkareem, K. H., Kadry, S., Mohammed, M. A., Al-Mhiqani, M. N., Al-Waisy, A. S. & Nedoma, J., 30 Nov 2022, In: International Journal of Interactive Multimedia and Artificial Intelligence. 7, 7, p. 26-37 12 p.Research output: Contribution to journal › Article › peer-review
Open Access10 Citations (Scopus)