Dr Mohamed is a Lead Computer Vision Researcher and academic with nearly 20 years of experience at the intersection of image processing, robotics, and artificial intelligence. He holds a PhD in Computer Vision (France) [2014–2019] and a Joint European MSc in Computer Vision and Robotics (UK, France, Spain) [2012–2014]. He is currently a Teaching Fellow at the University of Strathclyde, UK, and previously served as a Lecturer at the University of Stirling. His career combines rigorous research expertise with a strong commitment to education, knowledge transfer, and the practical application of AI.

His technical expertise spans deep learning, medical imaging, embedded systems, and robotic vision, complemented by a proven track record of delivering complex AI projects for international clients and European research partners. He won the ICCV 2017 2D Reflection Symmetry Detection Competition, a recognition of the quality and impact of his research. Beyond academia, he brings extensive experience in technical project management, working with cross-functional, international teams to translate cutting-edge research into practical, industry-ready solutions.

Dr Mohamed welcomes consulting engagements, research collaborations, and advisory opportunities in AI and Computer Vision. Feel free to connect or get in touch to discuss potential collaborations.

Specialities: Computer Vision | Image Processing and Analysis | Deep Learning | Medical Imaging | Robotic Vision | Embedded Systems | Human-Centred AI | Educational Technologies

• awesome-computer-vision-resources , A structured learning reference for computer vision: from image fundamentals to research frontiers.
• RoadToFAANG_CV , Hitchhiker’s guide in getting a FAANG job (Computer Vision).
• awesome-academic-cs , Curated awesome list of academic resources for teaching and research in computer science.
• awesome-computer-vision-tools , Curated tools for the full CV pipeline: training, data augmentation, experiment tracking, inference, edge deployment, and MLOps.
• awesome-open-source-cs , Curated awesome list of open-source & free repositories and tools for computer science.
• cv-recipes , Recipes for computer vision for educational and research use.

• [ICMV'26] An End-to-End Framework for Urban Planning Analysis from Street-View Imagery.
• [EUVIP'26] ARB12: Addressing Geographic and Semantic Bias in Urban Street-View Segmentation for Arab Cities.
• [MIUA'26] Coarse-to-Fine Breast Lesion Segmentation in Ultrasound Images: A Detection-Guided Two-Stage Framework.
• [UKICER'26] Bridging Learning Outcomes and Module Specifications: GenAI Framework for Curriculum Development in CS Education 10.1145/3830800.3830829.
• [UKICER'25] Advancing Assessment Practices in CS Education through AI-Generated Visual Test Cases 10.1145/3754508.3754538.
• [DSP'23] TRAIT: A Trusted Media Distribution Framework 10.1109/DSP58604.2023.10167909.
• [VCIP'21] Security and Forensics Exploration of Learning-based Image Coding: Watermarking and Source Identification 10.1109/VCIP53242.2021.9675445.
• [ICISP'18] Editorial Image Retrieval Using Handcrafted and CNN Features 10.1007/978-3-319-94211-7_31.
• [ICIAR'18] Mobile-Based Painting Photo Retrieval Using Combined Features 10.1007/978-3-319-93000-8_32.
• [ICCVW'17] Wavelet-based Reflection Symmetry Detection via Textural and Color Histograms 10.1109/ICCVW.2017.203.
• [CAIP'17] Multiple reflection symmetry detection via linear-directional kernel density estimation 10.1007/978-3-319-64689-3_28.
• [arXiv'17] Automatic Classification of Bright Retinal Lesions via Deep Network Features 10.48550/arXiv.1707.02022.
• [ICIAR'16] Automatic nonlinear filtering and segmentation for breast ultrasound images 10.1007/978-3-319-41501-7_24.
• [arXiv'16] Detecting and avoiding frontal obstacles from monocular camera for micro unmanned aerial vehicles 10.48550/arXiv.1603.09422.