Speakers

Paulin Melatagia Yonta, is a lecturer and researcher in Computer Science at the University of Yaoundé I, where he obtained his Ph.D. His teaching fields are mainly machine learning, data mining, business intelligence, and operations research. His research focuses on the discovery and analysis of new machine learning algorithms, as well as natural language and speech processing, particularly for African languages. He leads the Idasco (Data Science and Complex Systems) research team at the University of Yaoundé I, is the Scientific Secretary of the CRI (Conference on Research in Computer Science), member of the Executive Committee of the ASDS (The African Society in Digital Sciences), member of the Executive Committee of CAIS (Cameroon Artificial Intelligence Society), member of the Laboratory Council of UMMISCO/IRD (Unit of Mathematical Modeling in Computer Science and Complex Systems) and co-director of the Central and East Africa Center of this unit.

Norbert Tsopze is Associate Professor in the Department of Computer Science of the University of Yaounde I and member of IDASCO (Distributed Computing for the Analysis of Complex Systems) , the local IRD-UMMISCO research team. His research interests include datamining, Artificial Intelligence, machine learning, deep learning, textmining, social network analysis, Explainable AI. He teaches algorithms, programming languages, data Science, datamining and machine learning.

Jerry LONLAC is currently an Associate Professor (Maître de conférences) of Computer Science at Institut Mines Télécoms Nord Europe (IMTNE), Graduate School of Engineering, University of Lille in France. I am member of HIDE and McLEOD research teams at the Centre for Education, Research and Innovation Digital Systems (CERI SN). Prior to joining IMTNE, I worked as a postdoctoral researcher at the Lens Computer Science Research Lab (CRIL UMR 8188) and as a postdoctoral researcher at the The Laboratory of Informatics, Modelling and Optimization of the Systems (LIMOS UMR 6158). I received my Ph.D. in Computer Science from the University of Artois, France in 2014. My scientific work relates to Artificial Intelligence including Data Mining, Machine Learning, eXplainable Artificial Intelligence and Boolean Satisfiability (SAT).

Roger Nkambou is a Full Professor in the Department of Computer Science at the University of Quebec at Montreal (for over 25 years) and Director of the GDAC laboratory (Management, Dissemination and Acquisition of Knowledge). He is also the Director of the Computer Science Certificate Programs Unit. He directed the Artificial Intelligence Research Center from 2018 to 2021 as well as the Doctoral Program in Cognitive Computing (2009 to 2014). For several years, Roger has actively contributed to the development of research on knowledge engineering, cognitive agent architectures, user modeling, and machine learning algorithms in interactive environments. The results of his work have been used, among other things, in the development of a simulator for the Canadian robotic arm at the Canadian Space Agency in collaboration with NASA. From 2019 to 2023, Roger was the co-leader (with Prof. Claude Frasson) of the Pilot-AI (AI Augmented Pilot) project, a project funded by the Canadian government and major industries in the aerospace sector (Bombardier, CAE, CRIAQ). He has just obtained new funding to lead the C-Pilot (Cognitive Pilot) project with the same stakeholders. Pilot-AI and C-Pilot aim to equip new generations with a cockpit integrating AI for cognitive pilot assistance so as to gradually migrate towards single-pilot aircraft. Roger is a member of the scientific, editorial, or program committees of several international conferences and journals (e.g., AAAI, AIED, EDM, ITS) and has chaired renowned international conferences (e.g., UMAP2012, WWW2016, ITS2018, and EDM2019). He is Associate Editor of the journals Frontiers in Artificial Intelligence and Computational Intelligence. Roger has supervised over twenty PhD theses as well as over fifty Master's (MSc) theses. He has collaborated for over 25 years with the University of Yaoundé 1, the University of Dschang, and ENSPY, and has participated in the supervision of several theses in these institutions.

Issam Falih is currently an Associate Professor at the University of Clermont-Auvergne in France, where he is a member of the DSI (Data, Services, Intelligence) theme of the LIMOS laboratory. He holds a PhD in Computer Science from the University Sorbonne Paris Nord, a Computer Science and Statistics Engineering degree from INSEA, and a Master's in Machine Learning from the University Paris Dauphine. His research activities focus on machine learning and its applications. He covers a wide spectrum of issues, including unsupervised learning, topological learning methods, and transfer learning.