Rifat Hamoudi

Professor Rifat Hamoudi serves as Professor in Molecular, Cellular and Computational Medicine at the College of Medicine, University of Sharjah, UAE, and holds an honorary Associate Professor position in Molecular and Computational Pathology at University College London, UK. His interdisciplinary work bridges molecular biology, computational science, and clinical medicine.

His research focuses on Cancer Research (particularly breast and colorectal cancer), Computational Medicine, Molecular Pathology, and Medical Imaging. He develops AI-driven diagnostic tools for cancer detection, investigates molecular mechanisms of disease progression, and explores computational models for drug discovery. Key methodologies include deep learning for histological image analysis, transcriptome-wide studies, and systems biology approaches to identify therapeutic targets across cancer types.

Recent publications demonstrate strong trends in applying vision transformers to vascular segmentation, diffusion models for histopathology, and multi-omics integration for cancer progression analysis. His work spans colorectal cancer biomarkers, hypoxia-related brain injury mechanisms, and genetic associations with cognitive functions.

Scientific Awards and Honors:

• Fellow of the Higher Education Academy (FHEA)

Professor Hamoudi actively contributes to academic discourse through editorial roles including Associate Editor for Computational Genomics (Frontiers in Genetics), Pulmonary Medicine (Frontiers in Medicine), and Bioinformatics (Frontiers in Molecular Medicine). With over 350 publications and significant citation impact (145,271 publication views), his research drives translational applications in oncology and neurology through international collaborations.

He maintains active research leadership at University of Sharjah's College of Medicine while fostering academic partnerships with University College London and global institutions, focusing on computational approaches to solve complex biomedical challenges.