Personal profile
Biography
Amr’s research interest and expertise is focused on the applications of AI/ML with computer vision and image/video processing for analysis, understanding, and interpretation of visual contents (Images and Videos) as well as related textual contents. His current (and previous) research topics include:
- Supporting Medical Diagnosis and health-related applications, including:
- Liver Characterisation
- Lesion detection, segmentation, and classification.
- Personalised Health screening & monitoring.
- CBIR and fusion of multimodal data for diagnosis.
- Integration of knowledge with computer vision for semantic scene understanding.
- Contents-Based Image Retrieval (CBIR).
- Video Annotation and Video and scene understanding, semantic analysis.
- Video Matching & Similarity.
- Handwriting recognition, especially in Arabic.
Prof. Ahmed has successfully supervised a number of PhD and MSc by research students, and couple of RAs on his research projects. He is a Member of various professional bodies, including the British Computer Society (MBCS) and IAENG {International Association of Engineering}. He received his Bachelor’s degree in Electrical Engineering and M.Sc. degree (by research) in Computer and Systems Engineering, from Ain Shams University, Egypt, in 1993 and 1998 respectively, and his Ph.D. degree in Computer Graphics and Animation from the University of Surrey, U.K., in 2005.
Amr worked in the industry for several years, including in Sharp Labs of Europe (SLE), Oxford (UK), as a Research Scientist, and other Engineering Consultants companies abroad. He also worked as a Research Fellow, at the University of Surrey, before joining the academic staff at the University of Lincoln in 2005.
For more information about the current, previous, and future research areas and news, please have a look at Amr’s blog on “AmrAhmed.net”
Education/Academic qualification
PGCert, University of Lincoln
Award Date: 10 Oct 2010
PhD, 3D Graphics & Human Animation, University of Surrey
Award Date: 3 Jan 2005
MSc, Online Arabic Handwriting Recognition, Ain Shams University
Award Date: 4 Jan 2000
BSc, Electrical Engineering (Computer and Automatic Control), Ain Shams University
Award Date: 20 May 1993
Research Centres
- Centre for Intelligent Visual Computing Research
Research Groups
- Visual Computing Lab
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Collaborations and top research areas from the last five years
Research output
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HistDiT: A Structure-Aware Latent Conditional Diffusion Model for High-Fidelity Virtual Staining in Histopathology
Bin Saleem, A., AHMED, A., Behera, A., AMIN, H. U., Liao, I. Y., Khattab, M., Pan, J. W. & Makmur, H., 31 Mar 2026, (Accepted/In press) 28th International Conference on Pattern Recognition (2026). SpringerResearch output: Chapter in Book/Report/Conference proceeding › Conference proceeding (ISBN) › peer-review
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Training-Only Heterogeneous Image-Patch-Text Graph Supervision for Advancing Few-Shot Learning Adapters: TOGA
KHAN MOHAMMAD, M., BEHERA, A., Pradhan, S., KUMAR, S. & AHMED, A., 2 Mar 2026, (Accepted/In press) The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026: CVPR. IEEEResearch output: Chapter in Book/Report/Conference proceeding › Conference proceeding (ISBN) › peer-review
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Context-Aware Graph Neural Network for Skin Lesion Classification
SHOUKAT, M. A., NAZIR, S., AHMED, A. & BEHERA, A., 21 Nov 2025, (Accepted/In press) The 41st ACM/SIGAPP Symposium on Applied Computing (SAC ’26). ACM, 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding (ISBN) › peer-review
Open AccessFile90 Downloads (Pure) -
Post Hoc Interpretability of Deep Learning Models for Breast Cancer Histopathological Images with Variational Autoencoders
Waqas, M., Maul, T., Liao, I. Y. & AHMED, A., 22 Jun 2025, Neural Information Processing - 31st International Conference, ICONIP 2024, Proceedings. Mahmud, M., Doborjeh, M., Wong, K., Leung, A. C. S., Doborjeh, Z. & Tanveer, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 91-104 14 p. (Communications in Computer and Information Science; vol. 2282 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding (ISBN) › peer-review
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A Neurophysiological Model based on Resting-State EEG Functional Connectivity Features for Assessing Semantic Long-term Memory Performance
Amin, H. U., Ahmed, A., Yusoff, M. Z., Mohamad Saad, M. N. & Malik, A. S., 10 Sept 2024, In: Biomedical Signal Processing and Control. 99, p. 1-9 106799.Research output: Contribution to journal › Article (journal) › peer-review
Open AccessFile2 Link opens in a new tab Citations (Scopus)65 Downloads (Pure)