Prof. Mohamed Medhat Gaber (Birmingham City University)
Mohamed Medhat Gaber is a Professor in Data Analytics at Birmingham City University. He has an extensive academic career spanning several institutions in the United Kingdom, including the University of Portsmouth, Robert Gordon University, and Birmingham City University. Prof. Gaber received his PhD from Monash University, Australia, with an internship at IBM T. J. Watson Research Lab, New York, USA. His PhD thesis was nominated for the Mollie Holman award for the best PhD theses in 2006 at Monash University.
He has held appointments with the University of Sydney, CSIRO, and Monash University, where he conducted research in Artificial Intelligence related areas. His research in Artificial Intelligence has been funded by the Australian Research Council (ARC) and the EU Horizon 2020, among other sources.
Prof. Gaber has published over 250 papers, co-authored 3 monograph-style books, and edited/co-edited 7 books on Artificial Intelligence. His work has attracted well over ten thousand citations, with an h-index of 47. According to the latest study conducted by Stanford University and Elsevier, released in 2020, 2021, 2022, and 2023, Prof. Gaber is among the top 2% of the most cited scientists worldwide.
His research interests span various areas of Artificial Intelligence, including ensemble learning, learning from data streams, medical image analysis, natural language processing, time series classification, and deep learning. Prof. Gaber has supervised/co-supervised 22 successful PhD students and acted as an examiner for 45 PhD candidates. He has also held numerous chairing roles in the Artificial Intelligence community, including serving as the General co-chair of the 3rd IEEE International Conference on Data Science and Computational Intelligence (DSCI 2019) and the program committee co-chair of the IEEE Mobile Data Management (MDM 2016).