KEYNOTE SPEAKERS

                                    Professor Mohamed Bahaj is a Full Professor in the Department of Mathematics and Computer Sciences from the University Hassan 1st Faculty of Sciences & Technologies Settat Morocco. He has published over 110 peer-reviewed papers. His research interests focus on Machine Learning, Software Engineering, Business Intelligence, Internet of Things, Big Data Analysis, Intelligent Systems, Ontologies Engineering, Scientific Computing. He served as a reviewer at many reputed journals of Elsevier (Expert Systems With Applications Journal, SoftwareX Journal, Big Data Research Journal, Applied Soft Computing Journal, Knowledge-Based Systems Journal, Information Systems Journal, Information Sciences Journal, Computer & Security Journal, Journal of King Saud University - Computer and Information Sciences, Journal of Computer Science Review, Journal of Informatics in Medicine Unlocked). He has supervised several PhD theses in Computers Sciences & in Applied Mathematics. He chaired many international conferences (Indexed Scopus, Web of Sciences, Springer). He also attended a series of workshops, seminars and discussion forums for Academic Development on Software and research.

                           Mr. Jean-Patrice GLAFKIDES is DataValoris founder and member of the LIASD laboratory under the  direction of Dr Herman Akdag, specializes in automated deeplearning model generation based on natural selection algorithms (also known as population-based training or deep neuroevolution) with it’s R&D team headed by Dr Gene I. Sher. In the domain where research teams are competing to develop and optimize state of the art deep neural network models through hyperparameter search techniques, our Phylogenetic Learning approach looks at the problem from a different angle. Phylogenetic Learning shows that the application of transfer learning to models belonging to the same phylogenetic tree results in better end result than training the final model on the same data alone. Transfer learning, brittleness, efficiency, stochastic initial weight independence, and the effect of the topology complexification on the deep learning process, are just some of the aspects that phylogenetic learning explores and helps us understand and shine a light on.

                                   Professor Faouzia Benabbou is an Associate Professor in computer science at Faculty of Science Ben M'Sick - University Hassan II of Casablanca, since 1997. Since 2014, she has been a coordinator of the License Mathematics and Informatic and she was previously the coordinator of Master “Networks and Systems”. From 2016 up to now she serves as the head of the "Cloud Computing and Network and Systems Engineering (CCIGRS)" team in the TIM Laboratory. She received her Ph.D. in Computer Science from the Faculty of Sciences, University Mohamed V, Morocco in 1997 and her habilitation to supervise research in 2008. Her research areas include cloud Computing, Artificial intelligence, machine learning, and Natural Language Processing. She has published several scientific articles and book chapters in these areas. She has contributed to the organization of several international conferences, and she is a reviewer in several prestigious scientific journal and conferences.