Computer Science

I'm a senior lecturer (E&R) in computer science (machine learning and computer vision) and a fellow of the British Higher Education Academy (HEA). In 2016, I was a Marie Curie fellow in Medical Image Analysis, working in the Computer Science Department at the University of Nottingham. Previously, I was an Assistant Professor in data and information science at Birmingham City University, where I was the leading member of the computer vision research team. I also worked as a research fellow for the Mechanochemical Cell Biology Devision at the University of Warwick, School of Computer Science, Nottingham Molecular Pathology Node (NMPN), and Division of Cancer and Stem Cells at the University of Nottingham.

 

I'm serving as an Associate Editor for Soft Computing (Springer), BMC Medical Informatics and Decision Making journal (Springer Nature) and PLOS ONE, and I've also served as a guest editor for several special issues including Applied Sciences and Diagnostic journals.

 

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 in Egypt, Singapore, Italy, and the United Kingdom. My current research interests are concerned with the development of explainable 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:

 

  • Explainable AI for healthcare and life science applications.
  • Energy functional optimisation (e.g. level sets) for computer vision tasks.
  • Machine teaching and active learning.
  • Uncertainty quantification.
  • Self-supervision and transfer learning.
  • Static and dynamic deep ensemble.
  • Multimodal learning systems.
  • Causality AI.

 

For details on my published work, please refer to my Google Scholar profile.

 

Highly motivated UG/MSc/PhD students and visiting scholars are welcome to join my team. Interested? Email me your CV and research plan. 

If you're UG or MSc student at Exeter looking for a research project and interested in working with me, feel free to get in touch — I’d be happy to chat!

 

 

PhD Students 

 

Former PhD students

 

  • Dr. Zakaria Senousy - First Supervisor (@BCU, UK) [Project: Medical Image Classification using Deep Learning Techniques and Uncertainty Quantification, 2023]. Dr Zakaria is a senior data scientist at Unversity College London.
  • Dr. Usama Zidan - First Supervisor (@BCU, UK) [Project: Applied Patch-Based Deep Learning for Enhanced Computer Vision, 2024]. Dr Usama is a Postdoctoral researcher at Oxford University.
  • Dr. Asmaa Abbas - External Supervisor (@BCU, UK) [Project: Data Decomposition Methods for Medical Image Classification, 2025].

 

 

Data Decomposition Methods for Medical Image Classification

Current PhD students @ Exeter University

 

  • Amani Alsaeedi (Medical School).
  • Anwaar Asiri (Medical School).
  • Daniel Anyimadu (Computer Science).

 

Current PhD students Outside Exeter University

 

  • Dhoyazan Al-Turki - External supervisor (@BCU, UK).
  • Abdullah Basaad - External supervisor (@BCU, UK).

 

Former UG/MSc Students (with published work)

 

I have supervised many final year and master's students. Below is a list of students whose work has been published:

 

  • Suhaib Chughtai (2024). The work was published in the IEEE Open Journal of Computer Society (IEEE).
  • Anit Kour (2023). The work was published in the Journal of Big Data (Springer).
  • Patryk Buczek (2023). The work was published in the Discover Artificial Intelligence journal (Springer).
  • Marios Kyriakou (2022). The work was published in Scientific Reports journal (Nature).
  • Abiodun Ayantayo (2022). The work was published in the Journal of Big Data (Springer).
  • Amrit Kaur (2022). The work was published in the Journal of Big Data (Springer).
  • Nicole Mugova (2021). The work was published at the 35th ECMS 2021.
  • Asmaa Abbas (2020). The work was published in IEEE Access (IEEE).
  • Sulayman Cham (2017). The work was published in the Histopathology (Wiely).
 
 
 

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