Photo of Dr Mohammed Abdelsamea

Dr Mohammed Abdelsamea

Senior Lecturer in Computer Science (E&R)

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Location: Innovation Centre Phase 1 K1

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***I am accepting self-funded/sponsored PhD students. If you are interested to work with me, please email me your CV.

I'm a senior lecturer in computer science (machine learning and computer vision) and a fellow of the British Higher Education Academy (HEA).

Before joining Exeter University, I was a senior lecturer in data and information science at Birmingham City University, where I was the leading member of the computer vision research team. I also worked for the School of Computer Science at Nottingham University, Mechanochemical Cell Biology at Warwick University, Nottingham Molecular Pathology Node (NMPN), and Division of Cancer and Stem Cells both at Nottingham Medical School, as a Research Fellow.

I was awarded a PhD in Computer Science and Engineering (with a Doctor’s Europaeus degree) from Scuola IMT Alti Studi Lucca, in Italy.

Throughout my career, I've had the privilege of collaborating with diverse teams of experts in fields ranging from biology and geology to entomology, pathology, engineering, and computer science. These enriching experiences have taken me to various corners of the world, including Egypt, Singapore, Italy, and the United Kingdom.

My current research interests are concerned with the development of novel artificial intelligence (statistical machine learning and deep learning) solutions, with the overall ambition to assist human investigation in healthcare and data science applications. More precisely, I’m most interested in carrying out research on different theoretical foundations in computer vision and machine learning such as:

  • Deep learning and statistical machine learning.
  • Explainable AI for healthcare.
  • Energy functional optimisation for computer vision tasks.
  • Machine teaching and active learning.
  • Uncertainty quantification.
  • Self-supervision and transfer learning.
  • Static and dynamic deep ensemble.
  • Multimodal learning.