Personal profile
Biography
Dr Mahmoud Artemi is an academic professional with extensive experience in teaching. He specializes in image processing, content-based image retrieval, and human computer interactions.
Dr Mahmoud joined the university of Bedfordshire in 2024 after he has been involved in teaching at various UK higher education institutions, Dr Mahmoud is dedicated to delivering high-quality education and fostering innovative research.
Mahmoud specialises in understanding users’ preferences and behaviours during information search process and developing user-centred interactive approaches for different applications (such as E-Health, E-Learning, E-Government and Digital Humanities).
Research interests
- Content-based Image Retrieval (CBIR).
- User-centred Approaches for Information Access.
- User Preferences and Behaviour Modelling.
- Multimedia Information Retrieval.
Teaching Expertise
- Advanced Information Technology
- Database and Computer Systems Structure
- Software Design Patterns and Data Architectures
Education/Academic qualification
Master, Computer Science, The Libyan Academy, Libya
PhD, Computer science, University of Bedfordshire
Bachelor, Computer Engineering, University of Zawia
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Collaborations and top research areas from the last five years
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SecureCloud: a cross-platform encrypted file sharing solution with forensic imaging capability
Muthupandian, A., Artemi, M., Feng, X. & Conrad, M., 23 Jul 2025, Cloud Computing 12th EAI International Conference, CloudComp 2024, Luton, UK, September 9–10, 2024, Proceedings. Feng, X., Siarry, P., Han, L. & Yang, L. (eds.). UK: Springer, p. 83-102 20 p. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; vol. 617 LNICST).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Toward a secure and scalable IoT: a survey of IOTA-based distributed ledger technologies
Alsboui, T., Al-Aqrabi, H., Manasrah, A. & Artemi, M., 14 Oct 2025, In: Sustainable Computing: Informatics and Systems. 48, 32 p., 101225.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
Content-based image search system design for capturing user preferences during query formulation
Artemi, M. & Liu, H., 30 Jul 2020, nan. CEUR-WS, Vol. 2741. p. 86-99Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Citations (Scopus) -
Image optimization using improved gray-scale quantization for content-based image retrieval
Liu, H. & Artemi, M., 18 Mar 2020, nan.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Thesis
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A theory-based content-based image retrieval approach for capturing user preferences during query formulation
Artemi, M. A. A. (Author), Liu, H. (Supervisor) & Frommholz, I. (Second supervisor), Sept 2021Student thesis: Doctoral thesis
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