Dr Fakher Mohammad is a Visiting Researcher in the Department of Engineering at King’s College London, based at the Centre for Robotics Research (CoRe), where he works on AI-enabled computer vision for Mars rover terrain classification.

He is a machine learning and artificial intelligence specialist with deep expertise in computer vision and a strong software engineering background. Dr Mohammad holds a BSc in Technical Information and an MSc in Information Technology from Mannheim University of Applied Sciences. He earned his PhD in Computing from the University of Buckingham, where his research centred on anomaly detection in construction materials and medical images.

Dr Mohammad has contributed to a range of academic and industrial AI-driven projects. At the University of Surrey, he collaborated with the European Space Agency (ESA) and GMV on semantic segmentation for Martian terrain understanding, employing deep learning architectures and generative models for synthetic data generation. Previously, at TenD AI Medical Technologies Ltd., his work focused on ultrasound-based cancer detection using hybrid approaches that combined handcrafted features with deep learning techniques.

Alongside his research activities, Dr Mohammad works as a Research Software Engineer, supporting researchers with their computational needs, actively contributing to research projects, and delivering training in high-performance computing, coding best practices, and modern software engineering for research.

Publications

Deep Learning based Semantic Segmentation for Mars Rover Terrain Classification

Fakher Mohammad*, Yang Gao, Steven Kay, Robert Field, Matteo De Benedetti, Evridiki Vasileia Ntagiou. iSpaRo2024

 AI-enabled Computer Vision Framework for Automated Knowledge Extraction in Planetary Rover Operations

S Kay, M Quoos, R Field, MJ Prokopczyk, M De Benedetti, F Mohammad, M Szreter, Y Gao, Evridiki V. Ntagiou. Submitted to ASTRA, 2023

Irregularity Recognition of Tumor Border in Ultrasound Thyroid Scans Without Segmentation

Fakher Mohammad¹, Alaa AlZoubi, Hongbo Du, and Sabah Jassim. Medical Image Understanding and Analysis MIUA 2022

 Machine learning assessment of border irregularity of thyroid nodules from ultrasound images

Fakher Mohammad¹, Alaa AlZoubi, Hongbo Du, and Sabah Jassim. SPIE Defense + Commercial Sensing, 2022

 A generic approach for automatic crack recognition in buildings glass facade and concrete structures

Fakher Mohammad¹, Alaa AlZoubi, Hongbo Du, and Sabah Jassim. ICDIP 2021