Mohammed is a Senior Lecturer in Data and Information Science at the School of Computing and Digital Technology, Birmingham City University. He has been working on developing artificial intelligence tools for healthcare and life science applications since 2005.
Mohammed has been working within several groups of biologists, pathologists, and computer scientists in different research projects in Egypt, Singapore, Italy, and the UK. Before joining Birmingham City University, he 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, he got the prestigious Marie Cuire Research Fellowship in the school of Computer Science at Nottingham University. He also worked as an Assistant Professor of Computer Science for Assiut University in 2015. Mohammed has received his Ph.D. degree (with Doctor Europaeus) in Computer Science and Engineering from IMT - Institute for Advanced Studies, Lucca, Italy.
His main research interests are in computer vision including machine learning, deep learning, medical image processing and analysis. Mohammed served in the program committees of major conferences related to machine learning including EIDWT 2016, HPCC 2014, and CIBEC 2014. He has been reviewing articles in several international journals including IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Medical Imaging, Neurocomputing, and IEEE Transactions on Image Processing. He is also a reviewer for the EPSRC research fellowships and grants.
Islah delivers modules on the following course(s):
- Image processing
- Deep learning
- Machine learning
- Image Analysis
- Ph.D. in Computer Science and Engineering (with Doctor Europaeus degree), IMT Institute for Advanced Studies.
- M.Sc. in Mathematics and Computer Science, Mathematics Department, Assiut University.
Mohammed’s current research interests are spread across:
- Computer vision
- Data mining and machine learning
- Medical image processing and analysis
- Life science applications
- Histology image analysis
- Ibrahim A, Gamble P, Jaroensri R, Abdelsamea MM, Mermel CH, Cameron Chen P-H, Rakha EA, Artificial Intelligence in Digital Breast Pathology: Techniques and Applications, The Breast, Volume 49, Pages 267-273, 2020.
- Abbas A, Abdelsamea MM, and Gaber MM, DeTraC: Transfer Learning of Class Decomposed Medical Images in Convolutional Neural Networks, IEEE Access, 10.1109/ACCESS.2020.2989273. 2020.
- M. M. Abdelsamea, R. Barbora, J. Besusparis, S. Cham, A. Pitiot, A. Laurinavičius, M. Ilyas, Tumour Parcellation and Quantification (TuPaQ): a tool for refining biomarker analysis through rapid and automated segmentation of tumour epithelium, Histopathology, 74(7), pp.1045-1054, 2019.
- M. M. Abdelsamea, A. Pitiot, R. Barbora, J. Besusparis, A. Laurinavičius, M. Ilyas, A cascade-learning approach for automated segmentation of tumor epithelium in colorectal cancer, Expert Systems with Applications, Volume 118, 2019, Pages 539-552.
- Sagher, M Zidan, M. M. Abdelsamea, A Novel Autonomous Perceptron Model for Pattern Classification Applications, Entropy, 21(8), 763, 2019.
- Abdelsamea MM, Mohamed MH, Bamatraf M. Automated Classification of Malignant and Benign Breast Cancer Lesions Using Neural Networks on Digitized Mammograms. Cancer Informatics. Volume 18, Jun 2019.
- M. M. Abdelsamea, G. Gnecco, M. M. Gaber, A SOM-based Chan-Vese Model for Unsupervised Image Segmentation, Soft Computing, Volume 21, April 2017, Pages 2047-2067.
- M. M. Abdelsamea, A Semi-automated System based on Level Sets and Invariant Spatial Interrelation Shape Features for Caenorhabditis Elegans Phenotypes, Journal of Visual Communication and Image Representation, Volume 41, November 2016, Pages 314-323.
- M. M. Abdelsamea, G. Gnecco, M. M. Gaber, E. Elyan, On the relationship between variational level set-based and SOM-based active contours, Computational Intelligence and Neuroscience, Volume 2015, 2015.
- M. M. Abdelsamea, G. Gnecco, Robust Local-Global SOM-based ACM, Electronics Letters, Volume 51, 22 January 2015, Pages 142-143.
- M. M. Abdelsamea, G. Gnecco, M. M. Gaber, An Efficient Self Organizing Active Contour Model for Image Segmentation, Neurocomputing, Volume 149, Part B, 3 February 2015, Pages 820-835.
- M. Minervini, M. M. Abdelsamea, S. A. Tsaftaris, Image-based plant phenotyping with incremental learning and active contours, Ecological Informatics, Volume 23, September 2014, Pages 35-48.
Selected Conference Publications:
- Asmaa Abbas, M. M. Abdelsamea, learning transformations for automated classification of manifestation of tuberculosis using convolutional neural network, In Proceedings of the 13th IEEE International Conference on Computer Engineering and Systems (ICCES 2018), Cairo, Egypt, to appear 2018.
- M. M. Abdelsamea, A. Pitiot, R. Barbora, J. Besusparis, A. Laurinavičius, M. Ilyas TuPaQ: Tumour parcellation and quantification, JOURNAL OF PATHOLOGY. Vol. 246. 111 RIVER ST, HOBOKEN 07030-5774, NJ USA: WILEY, 2018.
- M. M. Abdelsamea, A. Pitiot, R. Barbora, J. Besusparis, A. Laurinavičius, M. Ilyas, A novel machine-learning approach for segmentation of tumour epithelium in colorectal cancer, JOURNAL OF PATHOLOGY. Vol. 246. 111 RIVER ST, HOBOKEN 07030-5774, NJ USA: WILEY, 2018.
- M. M. Abdelsamea, G. Gnecco, M. M. Gaber, A Survey of SOM-based Active Contours for Image Segmentation, In Proceedings of the 10th WORKSHOP ON SELF-ORGANIZING MAPS, 02-04 July 2014, Mittweida, Germany, Advances in Intelligent Systems and Computing, Springer (2014).
- M. M. Abdelsamea, G. Gnecco, M. M. Gaber, A Concurrent SOM based Chan-Vese Model for Image Segmentation, In Proceedings of the 10th WORKSHOP ON SELF-ORGANIZING MAPS, 02-04 July 2014, Mittweida, Germany, Advances in Intelligent Systems and Computing, Springer, (2014).
- M. M. Abdelsamea, S. A. Tsaftaris, Active contour model driven by globally signed region pressure force. In Proceedings of the 18th IEEE International Conference on Digital Signal Processing, DSP 2013, Santorini, Greece 2013.
A complete list of publications is available at https://scholar.google.it/citations?user=ePAHC1QAAAAJ&hl=en
