I'm a senior lecturer in computer science (machine learning and computer vision) within the Computer Science Department at Exeter University 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 the School of Computing and Digital Technology, Birmingham City University, where I was also the leading member of the Computer Vision theme within the DAAI research group at Birmingham City University. I've been working on developing artificial intelligence tools for healthcare and life science applications since 2005. I've been working within several groups of biologists, pathologists, and computer scientists in different research projects in Egypt, Singapore, Italy, and the UK. 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. In 2016, I got the prestigious Marie Cuire Research Fellowship in the school of Computer Science at Nottingham University. My current research interests are concerned with the development of statistical/classical machine learning and deep learning approaches in the areas of medical image segmentation, medical image classification, semantic/instance segmentation, feature extraction, and data mining and machine learning, with the overall ambition to assist human investigation.

• Our work on enhancing Cybersecurity using deep learning and feature fusion has been accepted for publication in Journal of Big Data, IF 8.1.
• I am now serving as an Academic Editor for PLOS ONE journal.
• Our Multispectral Convolutional Neural Networks to detect hydrothermal alterations in satellite images for mineral exploration has been accepted for publication in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IF 5.5.
• Our work on progressive active learning to facilitate energy performance assessmen using floorplan images has been accepted for publication in Scientific Reports, IF 4.6.
• Our AUQantO model (a new wrapper method for deep learning models, measuring the uncertainty of input medical images) has been accepted for publication in Applied Soft Computing, IF 8.7.
• I am editing a special issue on "Artificial Intelligence in Histopathological Image Analysis" in Diagnostic journal.
• Our work on studying the amortising temperature effect for supervised learning of wheat solar disinfestation of rice weevil has been accepted for publication in Scientific Reports, IF 4.6.
• Our SwinCup model , a cascaded Swin transformer for segmeting histopathological structures from colorectal cancer images has been accepted for publication in Expert Systems with Applications, IF 8.5.
• Our XDecompo model to explain the effect of class decomposition in self supervision for medical image classification has been accepted for publication in Sensors, IF 3.9.
• Our survey paper on AI in Histopathology image analysis has been accepted for publication in WIREs Data Mining and Knowledge Discovery, IF 7.8.
• Our Multi-level Context and Uncertainty aware Dynamic Deep Ensemble model applied to breast cancer histology images has been accepted for publication in IEEE Transactions on Biomedical Engineering, IF 4.6.
• I am serving as a Lead Guest Editor for a special issue on "The Applications of Machine Learning in Biomedical Science" in Applied Sciences journal
• Our work on deep learning with self-supervision mechanism applied to chest X-ray images has been accepted for publication in IEEE Transactions on Neural Networks and Learning Systems, IF 10.4.
• Our DeTraC model has been mentioned in Financial Times.
• Our work on deep learning to cope with data irregularities has been accepted for publication in Applied Intelligence journal, IF 5.3.
• ****I am accepting self-funded/sponsored PhD students. If you are interested, please email me your CV.

• Network intrusion detection using feature fusion with deep learning
  Abiodun Ayantayo, Amrit Kaur, Anit Kour, Xavier Schmoor, Fayyaz Shah, Ian Vickers, Paul Kearney, Mohammed M Abdelsamea*
  Journal of Big Data (2023)
  [PDF][Code]
  * corresponding author
• From Pixels to Deposits: Porphyry Mineralisation With Multispectral Convolutional Neural Networks
  Usama Zidan, Hamdy A. El Desouky, Mohamed Medhat Gaber, Mohammed M. Abdelsamea*
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023)
  [PDF]
  * corresponding author
• The power of progressive active learning in floorplan images for energy assessment
  Dhoyazan Al-Turki, Marios Kyriakou, Shadi Basurra, Mohamed Medhat Gaber, Mohammed M. Abdelsamea*
  Scientific Reports, Nature (2023)
  [PDF][Dataset]
  * corresponding author
• AUQantO: Actionable Uncertainty Quantification Optimization in deep learning architectures for medical image classification
  Zakaria Senousy, Mohamed Gaber, Mohammed M. Abdelsamea*
  Applied Soft Computing, Elsevier (2023)
  [PDF][Code]
  * corresponding author
• A Logarithmically Amortising Temperature Effect for Supervised Learning of Wheat Solar Disinfestation of Rice Weevil Sitophilus oryzae (Coleoptera: Curculionidae) using Plastic Bags
  Mohammed M. Abdelsamea*, Mohamed Gaber, Aliyuda Ali, Marios Kyriakou, and Shams Fawki
  Scientific Reports, Nature (2023)
  [PDF][Dataset and Code]
  * corresponding author
• SwinCup: Cascaded swin transformer for histopathological structures segmentation in colorectal cancer
  Usama Zidan, Mohamed Gaber, and Mohammed M. Abdelsamea*
  Expert Systems with Applications, Elsevier (2023)
  [PDF][Code]
  * corresponding author
• XDecompo: Explainable Decomposition Approach in Convolutional Neural Networks for Tumour Image Classification
  Asmaa Abbas, Mohamed Gaber, and Mohammed M. Abdelsamea*
  Sensors, MDPI (2022)
  [PDF][Code]
  * corresponding author
• A survey on artificial intelligence in histopathologyimage analysis
  Mohammed M. Abdelsamea*, Usama Zidan, Zakaria Senousy, Mohamed Medhat Gaber, Emad Rakha, Mohammmad Ilyas
  WIREs Data Mining and Knowledge Discovery, Wiley (2022)
  [PDF]
  * corresponding author
• MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification
  Zakaria Senousy, Mohammed M. Abdelsamea*, Mohamed Medhat Gaber, Moloud Abdar, U RajendraAcharya, Abbas Khosravi, Saeid Nahavandi
  IEEE Transactions on Biomedical Engineering, IEEE (2022)
  [PDF][Code]
  * corresponding author
• 4S-DT: Self Supervised Super Sample Decomposition for Transfer learning with application to COVID-19 detection
  Abbas, Asmaa, Mohammed M. Abdelsamea*, and Mohamed Gaber
  IEEE Transactions on Neural Networks and Learning Systems, IEEE (2021)
  [PDF][Code]
  * corresponding author
• 3E-Net: Entropy-Based Elastic Ensemble of Deep Convolutional Neural Networks for Grading of Invasive Breast Carcinoma Histopathological Microscopic Images
  Zakaria Senousy, Mohammed M. Abdelsamea*, Mona Mohamed, Mohamed Gaber
  Entropy, MDPI (2021)
  [PDF][Code]
  * corresponding author
• Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network
  Asmaa Abbas, Mohammed M. Abdelsamea*, and Mohamed Medhat Gaber
  Applied Intelligence, Springer (2021)
  [PDF][Code]
  * corresponding author
• Detrac: Transfer learning of class decomposed medical images in convolutional neural networks
  Asmaa Abbas, Mohammed M. Abdelsamea*, and Mohamed Medhat Gaber
  IEEE Access, IEEE (2020)
  [PDF][Code]
  * corresponding author
• Artificial intelligence in digital breast pathology: Techniques and applications
  Ibrahim, A., Gamble, P., Jaroensri, R., Abdelsamea, M. M., Mermel, C. H., Chen, P. H. C., & Rakha, E. A.
  The Breast, Elsevier 2020
  [PDF]
• Tumour parcellation and quantification (TuPaQ): a tool for refining biomarker analysis through rapid and automated segmentation of tumour epithelium
  Mohammed M. Abdelsamea*, Grineviciute, R. B., Besusparis, J., Cham, S., Pitiot, A., Laurinavicius, A., & Ilyas, M.
  Histopathology, Wiley (2019)
  [PDF][Code]
  * corresponding author
• A cascade-learning approach for automated segmentation of tumour epithelium in colorectal cancer
  Mohammed M. Abdelsamea*, Pitiot, A., Grineviciute, R. B., Besusparis, J., Laurinavicius, A., & Ilyas, M.
  Expert Systems with Applications, Elsevier (2019)
  [PDF][Code]
  * corresponding author
• A Semi-automated System based on Level Sets and Invariant Spatial Interrelation Shape Features for Caenorhabditis Elegans Phenotypes
  Mohammed M. Abdelsamea*
  Journal of Visual Communication and Image Representation, Elsevier (2016)
  [PDF][Code]
• An efficient Self-Organizing Active Contour model for image segmentation
  M. M. Abdelsamea, G. Gnecco*, M. M. Gaber
  Neurocomputing, Elsevier (2015)
  [PDF][Code]

PhD Students

• Amani Alsaeedi - Co-supervisor (@Exeter, UK).
• Anwaar Asiri - Co-supervisor (@Exeter, UK).
• Asmaa Abbas - External supervisor (@BCU, UK).
• Dhoyazan Al-Turki - External supervisor (@BCU, UK).
• Abdullah Basaad - External supervisor (@BCU, UK).

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 now with Unversity College London.
• Dr. Usama Zidan - First Supervisor (@BCU, UK)
  [Project: Applied Patch-Based Deep Learning for Enhanced Computer Vision, 2024].
  Dr Usama is now with Oxford University

Former Research Associate/Fellow

• Xavier Schmoor (BCU, UK, April 2023) - Xavier is currently a Data Scientist at METCLOUD, Birmingham, UK.

Former Masters Students

• Babatunde Lawal (BCU, UK 2023).
• Anit Kour (BCU, UK 2023) - The work has been accepted for publication in the Journal of Big Data.
• Faryn Mcdonald (BCU, UK 2022).
• Marios Kyriakou (BCU, UK 2022) - The work has been published in Scientific Reports journal.
• Esther Aramide (BCU, UK 2022).
• Abiodun Ayantayo (BCU, UK 2022) - The work has been accepted for publication in the Journal of Big Data.
• Harjinder Kaur (BCU, UK 2022).
• Pushkar Kadhane (BCU, UK 2021).
• Omar Khamis (BCU, UK 2021).
• Nishanth Kanhirathingal (BCU, UK 2021).
• Samer Qarajai (BCU, UK 2021).
• Edyima Ekpo (BCU, UK 2021).
• Rajan Kumar (BCU, UK 2021).
• Hemanth Gajjala (BCU, UK 2021).
• Manpreet Kaur (BCU, UK 2021).
• Asmaa Abbas (AUN, Egypt 2020) - The work has been published in Applied Intelligence and IEEE Access journals.
• Sulayman Cham (UoN, UK 2017) - The work has been published in the Histopathology journal.

Former FYP (Research) Students

• Eva Mapianda (BCU, UK 2023).
• Dharmarlou Bowen (BCU, UK 2023).
• Patryk Buczek (BCU, UK 2023) - The work has been published in the discover artificial intelligence journal (Springer).
• Gokulan Vigneswaran (BCU, UK 2023).
• Zan Zver (BCU, UK 2022).
• Amrit Kaur (BCU, UK 2022) - The work has been accepted for publication in the Journal of Big Data (Springer).
• Suhaib Chughtai (BCU, UK 2022) - The work has been submitted to the IEEE Open Journal of Computer Society.
• Sirus Mohammed (BCU, UK).
• Joshua Margen (BCU, UK).
• Nicole Mugova (BCU, UK 2021) - The work has been published at the 35th INTERNATIONAL CONFERENCE ON MODELLING AND SIMULATION.
• Archibald Makotose (BCU, UK 2021).
• Wassem Eslam (BCU, UK 2021).
• Wanqi Jiang (UoN, UK 2019).
• Tiantong Chu (UoN, UK 2019).

• Data Visualisation (L5, BSc in computer and data science) - School of Computing and Digital Technology (Birmingham City University, UK)
• Data Mining (L6, BSc in computer and data science) - School of Computing and Digital Technology (Birmingham City University, UK)
• Deep Neural Networks (L6, BSc in computer and data science) - School of Computing and Digital Technology (Birmingham City University, UK)
• Introduction to Computer Science and Programming (BSc in computer science) - Mathematics Department (Assiut University, Egypt)
• Algorithms Design and Analysis (BSc in computer science) - Mathematics Department (Assiut University, Egypt)
• Data Mining (BSc in computer science) - Mathematics Department (Assiut University, Egypt)
• Neural Networks (BSc in computer science) - Mathematics Department (Assiut University, Egypt)
• Artificial Intelligence (MSc in computer science) - Mathematics Department (Assiut University, Egypt)

I'm an Associate Editor for the BMC medical informatics and decision making journal, and an Academic Editor for PLOS ONE journal. I've also served as a guest editor for several special issues including Applied Sciences and Diagnostic journals. I'm also a reviewer for various international journals (including Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems, Neurocomputing, and IEEE Transactions on Image Processing) and participate in program committees for conferences like EAI INTETAIN and HPCC. Additionally, I review EPSRC research fellowships and grants.