Biography

Mohamed is a Professor in Data Analytics at the School of Computing and Digital Technology, Birmingham City University. He is currently seconded as the Dean of the Faculty of Computer Science and Engineering, Galala University. Mohamed received his PhD from Monash University, Australia. He then held appointments with the University of Sydney, CSIRO, and Monash University, all in Australia. Prior to joining Birmingham City University, Mohamed worked for the Robert Gordon University as a Reader in Computer Science and at the University of Portsmouth as a Senior Lecturer in Computer Science, both in the UK. He has published over 200 journal articles and conference papers, co-authored 3 monograph-style books, and edited/co-edited 7 books on Artificial Intelligence. Mohamed's published work has appeared in the proceedings of prestigious conferences including ICDM and ISWC, and reputable journals including the IEEE Transactions on Neural Networks and Learning Systems, and Data Mining and Knowledge Discovery, to mention a few. His work has attracted well over eight thousand citations, with an h-index of 42. Mohamed has supervised/co-supervised to successful completion 17 PhD students. He has acted as an examiner for 39 PhD candidates. He has had numerous chairing roles serving the Artificial Intelligence community including the General co-chair of the 3rd IEEE International Conference on Data Science and Computational Intelligence (DSCI 2019) and the programme committee co-chair of the IEEE Mobile Data Management (MDM 2016), among the many other events. Professor Gaber is recognised as a Fellow of the British Higher Education Academy (HEA). In 2007, he was awarded the CSIRO teamwork award. 

A more interesting biography

Picture
I was born a few miles away from the Pyramids in Cairo, Egypt. I received my PhD from Monsah University in Melbourne, the first capital (temporarily) of Australia.  During my PhD, I did an internship at IBM Thomas J. Watson, where the relational database model was invented by Edgar F. Codd. After my PhD, I held research positions at the University of Sydney, the oldest/first Australian University which is located close to where Captain James Cook first landed in Australia; CSIRO in Hobart, the capital of Tasmania: the only Australian state out of the Australian mainland; and back to Monash University when awarded the prestigious Australian Postdoctoral Fellowship. I worked as a senior lecturer in computer science at the University of Portsmouth, where Charles Dickens was born. I then moved to the oil Capital of Europe and the Granite City, Aberdeen, to take up the position of Reader in computer science at Robert Gordon University. Most recently, in Birmingham, the first manufacturing town in the world, I became a Full Professor in data analytics at Birmingham City University. Since October 2020, I am seconded in the newly built city of Galala, taking up the position of Dean of the Faculty of Computer Science and Engineering at Galala University.
By the words of the great poet, Hafez Ibrahim, the legend Umm Kulthum sang: "..and the builders of the pyramids in the ancient age sufficed me the talk when challenged". Listen to great music and song

Research Contribution Map

Publications

10 Recent/Representative Journal Articles

  1. Senousy Z., Abdelsamea M. M., Gaber M. M., Abdar M., Acharya U. R., Khosravi A. and Nahavandi S., MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification, IEEE Transactions on Biomedical Engineering, Volume 69, Issue 2, pp. 818-829, 2022, IEEE press. [DOI]
  2. Hettiarachchi H., Adedoyin-Olowe M., Bhogal J., and Gaber M. M., Embed2Detect: Temporally Clustered Embedded Words for Event Detection in Social Media, Machine Learning, Volume 111, Issue 1, pp. 49-87, 2022, Springer. [DOI]
  3. Abbas A., Abdelsamea M., and Gaber M. M., 4S-DT: Self Supervised Super Sample Decomposition for Transfer Learning with Application to COVID-19 Detection, IEEE Transactions on Neural Networks and Learning Systems, Volume 32, Issue 7, pp. 2798-2808, July 2021. [DOI]
  4. Abbas A., Abdelsamea M., and Gaber M. M., Classification of COVID-19 in Chest X-ray Images using DeTraC Deep Convolutional Neural Network, Applied Intelligence, Volume 51, pp. 854–864, 2021, Springer.  [DOI]
  5. Hatwell J., Gaber M. M., and Azad R. M. A., Ada-WHIPS: Explaining AdaBoost Classification with Applications in the Health Sciences, BMC Medical Informatics and Decision Making,  Volume 20, Issue 1: 250, 2020, Springer Nature. [DOI]
  6. Hatwell J., Gaber M. M., and Azad R. M. A., CHIRPS: Explaining Random Forest Classification, Artificial Intelligence Review, Volume 53, pp. 5747–5788, 2020, Springer. [DOI]
  7. Abdallah Z. S., and Gaber M. M., Co-eye: A Multi-resolution Ensemble Classifier for Symbolically Approximated Time Series, Machine Learning, Volume 109, pp. 2029–2061, 2020, Springer. [DOI]
  8. Ghomeshi H., Gaber M. M., and Kovalchuk Y., A Non-Canonical Hybrid Metaheuristic Approach to Adaptive Data Stream Classification, Future Generation Computer Systems, Volume 102, January 2020, pp. 127-139, Elsevier.  [DOI]
  9. Ghomeshi H., Gaber M. M., and Kovalchuk Y., EACD: Evolutionary Adaptation to Concept Drifts in Data Streams, Data Mining and Knowledge Discovery, May 2019, Volume 33, Issue 3, pp 663–694. Springer-Verlag. [DOI]
  10. Gomes J. B., Gaber M. M., Menasalvas E., and Sousa P., Mining Recurring Concepts in a Dynamic Feature Space, IEEE Transactions on Neural Networks and Learning Systems, Volume 25, Issue 1, pp. 95-110, January 2014. [DOI]

10 Selected Survey/Review Articles

  1. Abdelsamea M., Zidan U., Senousy Z., Gaber M. M., Rakha E. Ilyas M., A Survey on Artificial Intelligence in Histopathology Image Analysis, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2022, Wiley press. [DOI]
  2. Dridi A., Gaber M. M., Azad R. M. A., and Bhogal J., Scholarly Data Mining: A Systematic Review of its Applications, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Volume 11, Issue 2, March/April 2021, Wiley press. [DOI]
  3. Gaber M. M., Aneiba A., Basurra S., Batty O., Elmisery A., Kovalchuk Y., and Habib ur Rehman M. Internet of Things and Data Mining: From Applications to Techniques and Systems, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Volume 9, Issue 3, May/June 2019, e12922019. [DOI] 
  4. Abdallah Z. S., Gaber M. M., Srinivasan B., and Krishnaswamy S., Activity Recognition with Evolving Data Streams: A Review, ACM Computing Surveys (CSUR), Volume 51 Issue 4, July 2018, ACM press. [DOI]
  5.  Hussein A., Gaber M. M., Elyan E., and Jayne C., Imitation Learning: A Survey of Learning Methods, ACM Computing Surveys (CSUR), Volume 50 Issue 2, April 2017, ACM press. [DOI] 
  6. Fawagreh K., Gaber M. M., and Elyan E., Random Forests: From Early Developments to Recent Advancements, Systems Science & Control Engineering, Volume 2, Issue 1, 2014, pp. 602-609, Taylor & Francis. [DOI]
  7. Gaber M. M., Gama J., Krishnaswamy S., Gomes J., and Stahl F., Data Stream Mining in Ubiquitous Environments: State-of-the-art and Current Directions, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Volume 4, Issue 2, pp. 116-138, March/April 2014. [DOI]
  8. Stahl F., Gabrys B., Gaber M. M., and Berendsen M., An Overview on Interactive Visual Data Mining Techniques for Knowledge Discovery, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Volume 3(4), pp. 239-256, 2013. [DOI]
  9. Gaber M. M., Advances in Data Stream Mining, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Volume 2, Issue 1, pp. 79-85, 2012. [DOI]
  10. Gaber, M, M., Zaslavsky, A., and Krishnaswamy, S., Mining Data Streams: A Review, ACM SIGMOD Record, Vol. 34, No. 1, pp. 18-26, June 2005, ISSN: 0163-5808. [DOI]

List of Publications (different sources)

Books

According to Google Scholar in December 2022

Citations
8,417
h-index
42
g-index
87
i10-index
118
ResearchGate Research Interest
4K+ (Top 1% in Artificial Intelligence)
The above graph is generated using the R package "scholar" in November 2013. The calculations are based on the following paper: 
D E Acuna, S Allesina, K P Kording (2012) Future impact: Predicting scientific success. Nature 489, pp. 201-202. 

Co-author Affiliation Map

I have co-authored papers with collaborators affiliated to institutions in 19 different countries in five continents.

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Since March, 2014
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