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Mohamed Medhat Gaber
Also published under:Mohamed Gaber, M. M. Gaber
Affiliation
School of Computing and Digital Technology, Birmingham City University, Birmingham, U.K.
Topic
Deep Learning,Convolutional Neural Network,Deep Neural Network,Graph Convolutional Network,Neural Network,Artificial Neural Network,Deep Convolutional Neural Network,Image Classification,Machine Learning,Support Vector Machine,Cardiovascular Disease,Convolutional Layers,Convolutional Neural Network Architecture,Deep Learning Models,F1 Score,False Negative Rate,False Positive Rate,K-nearest Neighbor,Negative Predictive Value,Random Forest,Ability Of The Model,Active Learning,Active Learning Techniques,Advanced Spaceborne Thermal Emission,Age Of Cases,Analytical Capabilities,Annotation Process,Atmospheric Noise,Automatic Learning,Average Work,Blockchain Nodes,Blockchain Technology,Breast Cancer,Building Information Modelling,Building Regulations,Byzantine Fault Tolerance,CIFAR-100 Dataset,Calibration Method,Calibration Process,Cardiac Arrest,Cause Of Cancer-related Mortality,Child Protection,Children In Need,Classification Accuracy,Classification Model,Classification Task,Cluster Model,Collaborative Intrusion Detection,Colorectal Cancer,Colorectal Cancer Dataset,
Biography
Mohamed Medhat Gaber received the Ph.D. degree from Monash University, Australia. He then held appointments with The University of Sydney, CSIRO, and Monash University, all in Australia. He is currently a Professor of data analytics with the School of Computing and Digital Technology, Birmingham City University. Prior to joining Birmingham City University, he was with Robert Gordon University, as a Reader of computer science, and with the University of Portsmouth, as a Senior Lecturer of computer science, both in U.K. He has published over 200 articles, co-authored three monograph-style books, and edited/co-edited six books on data mining and knowledge discovery. His work has attracted well over 8000 citations, with an H-index of 43. He served in the program committees of major conferences related to data mining, including ICDM, PAKDD, ECML/PKDD, and ICML. He is recognized as a fellow of British Higher Education Academy (HEA). He is also a member of the International Panel of Expert Advisers for the Australasian Data Mining Conferences. In 2007, he was awarded the CSIRO Teamwork Award. He also co-chaired numerous scientific events on various data mining topics.