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30 Mar-11 Apr 2026 Yaoundé (Cameroon)
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Speakers Antoine Cornuéjols is a Professor of Computer Science at AgroParisTech. He is responsible for the EKINOCS research team within the UMR MIA Paris-Saclay (AgroParisTech - INRAE), which conducts work on machine learning, knowledge integration, human-machine interactions, and optimization methods. He is co-author of the books "Apprentissage artificiel. Concepts et algorithmes. De Hume et Bayes au Deep Learning" (Eyrolles, 2021, 4th ed.) and "Phase Transitions in Machine Learning" (Cambridge University Press, 2011), and author of numerous scientific articles, particularly on time series analysis, learning from weakly labeled data, and transfer learning.
Furthermore, he is co-responsible for the 3rd-year IODAA specialization at AgroParisTech on Artificial Intelligence and Data Science. He is a board member of DataIA, the Artificial Intelligence Institute of Université Paris-Saclay, as well as Scientific Director of the H@rvest Chair on digital agriculture. He has supervised or co-supervised 22 PhD theses, including 4 currently in progress.
Vincent Barra is a Full Professor of Computer Science at Clermont Auvergne University with more than 20 years of academic experience. He's deputy scientific director of MIAI Cluster and Academic and AI Lead at Clermont-Auvergne University. His research spans data analysis from methodological and applied perspectives, including image and video processing, mesh processing, computational geometry, and machine/deep learning. He has authored or co-authored over 50 peer-reviewed journal articles, 5 books, and more than 100 papers in international conferences.
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. He defended the PhD thesis in Computer Science in joint supervision between the University of Yaounde I and the University of Artois (France) in 2010. From 2011 to 2012, he worked in the L3I lab of University of La Rochelle (France) as a postdoctoral fellow. As a member of the Sciences, Technologies and Geosciences (STG) doctoral school, he is currently the director (supervisor) of many Master and PhD students. He is also reviewer of many journals and conferences (national and international). He is contributor in many other ongoing research projects including : AIME (Artificial Intelligence for Marine Environment) supported from 2022 to 2025 by EU, FDMI-AMG (Massive and uncertain data mining : Contribution of gradual patterns) supported by CNRS from 2022 to 2024, ESPERANTO (Exchanges for SPEech ReseArch aNd TechnOlogies) supported by EU from 2021 to 2023 and AI4D Africa supported by ACTS/SIDA from 2022 to 2023.
Prof. Abdoulaye Banire Diallo is a full professor of computer science at the Université du Québec à Montréal (UQAM), specializing in artificial intelligence applied to the life sciences, particularly genomics, bioinformatics, and precision agriculture. He co-directs the UQAM–McGill WELL-E Research Chair on animal well-being and longevity, and leads the Bioinformatics and Data Analysis Platform at the Centre of Excellence in Research on Orphan Diseases – Fondation Courtois (CERMO-FC). Holding a PhD from McGill University and a former researcher at MIT (CSAIL) and the Broad Institute (MIT-Harvard), his work focuses on integrating machine learning, computer vision, and omics approaches to address major challenges in health, agriculture, and the environment. He is the originator of several innovative tools in genomic analysis and viral classification. Alongside his academic activities, he plays a key structural role in the development of scientific and technological ecosystems in Africa. He serves notably as General Coordinator of the Cité des Sciences et de l'Innovation de Guinée (CSIG), a strategic project aimed at positioning Guinea as a center of excellence in research, innovation, and artificial intelligence across the continent. Through his international commitments, he also contributes to the design of science policies, data governance, and the promotion of sustainable development grounded in science, technology, and artificial intelligence.
MBOKE Anne holds a PhD in Business Law obtained at the University of Yaoundé II, Cameroon, in 2020. Professionally, she is a CAMES Assistant Master and Lecturer in the Department of Business Law at the Faculty of Legal and Political Sciences of the University of Yaoundé II. She also teaches at several training institutions, including the National Advanced School of Engineering of Yaoundé and the National Advanced School of Police, as well as at several Private Institutions of Higher Education (Sainte Thérèse University Institute of Yaoundé; University Institute of the Tropics). In addition, she is a member of the Business Law Study and Research Laboratory housed at the University of Yaoundé II. On the associative front, she serves as Deputy Secretary General of the Research Group in Law, Economics and Social Sciences (GREDES) and as a Member of the African Centre for Resources on Law, Natural Resources and Energy (CARNE).
Lamia EL BADAWI is an Associate Professor in private law at UCA, specializing in digital law, and has authored a book entitled "AI and its applications in 100 questions and answers", published by Ellipses.
Eric Gaussier Après une thèse de doctorat sur les modèles probabilistes pour l’extraction de lexiques bilingues à partir de corpus parallèles, j’ai rejoint le Xerox Research Centre Europe (XRCE) en 1996 pour travailler sur la recherche d’information. En 1999, j’ai passé six mois au PARC (Palo Alto Research Center) pour développer des versions hiérarchiques du Probabilistic Latent Semantic Indexing. J’ai ensuite dirigé une équipe de recherche sur l’accès à l’information textuelle, puis je suis devenu responsable du groupe Learning and Content Analysis à XRCE, avant de rejoindre l’Université Grenoble Alpes et le Laboratoire d’Informatique de Grenoble (LIG) en tant que professeur en septembre 2006. J’ai été directeur du LIG de 2016 à 2020 et directeur de l’Institut interdisciplinaire d’intelligence artificielle de Grenoble de 2019 à 2025. Depuis 2023, je suis membre de l’Institut Universitaire de France.
Pierre Marquis is a Professor of Computer Science at the University of Artois and an honorary member of the Institut Universitaire de France (having previously been a senior member). He is currently Vice-President of the University of Artois, in charge of Research and Doctoral Studies. An AI researcher for over thirty years (PhD in 1991), he directed the UMR CNRS CRIL (Centre de Recherche en Informatique de Lens). He currently leads an ANR Chair in AI teaching and research, focused on the issue of Explainable AI. He is a Fellow of the European AI Association and the Asia-Pacific AI Association.
Engelbert Mephu Nguifo is a full professor of computer science at University Clermont Auvergne (UCA), France, where he is the director of Master Degree Program in Computer Science. He is leading research on machine learning and data mining for complex data in the joined University-CNRS laboratory LIMOS where he is co-chair of the Information and Communication Systems research group. His research interests also include formal concept analysis, artificial intelligence, pattern recognition, bioinformatics, big data, and knowledge representation. He was Board member of the French Association on Artificial Intelligence. He is member of the editorial Board of French Open Journal on Artificial Intelligence, and also member of the executive board of the French CNRS research group on Artificial Intelligence (GDR RADIA).
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).
 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.
Dr. Keogh is a Distinguished Professor of Computer Science at the University of California. He is the inventor of many of the most commonly used time series data mining primitives including, PAA, LBkeogh, UCR-Suite, the Matrix Profile, SAX, Time Series Motifs and Time Series Shapelets. The last six ideas have gone on to garner at least a thousand citations each. With 32 papers, he is the most prolific author in the Data Mining and Knowledge Discovery journal and a top-ten most prolific author in ACM SIGKDD, IEEE ICDM and SIAM SDM (with 32/47/27 papers respectively).
Pierre Zweigenbaum is an Emeritus Research Director at the CNRS within the Interdisciplinary Laboratory for Digital Sciences (LISN) at the University of Paris-Saclay. A researcher in natural language processing, his main research focus is information extraction from biomedical texts. After completing his PhD in computer science at Télécom Paris in 1985, he conducted his research at the Assistance Publique - Hôpitaux de Paris, then joined the CNRS as a Research Director in 2006. He is a fellow of the American College of Medical Informatics and the International Academy of Health Sciences Informatics.
Farouk Toumani is a professor of computer science at Université Clermont Auvergne and the director of ISIMA, the school of computer science engineering at Clermont Auvergne INP. He previously served as director of the LIMOS laboratory (UMR CNRS and Université Clermont Auvergne). He completed his PhD at INSA Lyon in 1997, focusing on taxonomic reasoning in conceptual data models. His current research focuses on big data, knowledge representation and reasoning, incomplete information management, and neuro-symbolic reasoning.
Jonas Koko Jonas Koko is an Associate Professor-HDR in Applied Mathematics at ISIMA, University Clermont Auvergne, and a member of the LIMOS laboratory (UMR CNRS 6158). His research sits at the intersection of numerical optimization, scientific computing, and parallel computing, with a particular focus on duality-based decomposition methods, including Lagrangian and augmented Lagrangian approaches. Within LIMOS, he is affiliated with the MAAD department and co-leads the MOCA team (Metamodeling, Continuous Optimization and Applications). He has authored several scientific publications and books on numerical approximation with MATLAB.
Dr. Jacques Tagoudjeu is an Associate Professor at the National Advanced School of Engineering of Yaoundé (ENSPY) at the University of Yaoundé I, where he earned his Ph.D. in Mathematics in 2010. As a researcher in Applied and Computational Mathematics, his work focuses on the mathematical analysis and numerical simulation of complex systems. Dr. Tagoudjeu successfully bridges theoretical mathematics with interdisciplinary applications across computational biology, fluid dynamics, and engineering. His specialized research interests include kinetic theory, multiscale derivation and asymptotic preserving schemes, the development of iterative solvers and numerical methods, and mathematical biology—specifically modeling chemotaxis, predator-prey dynamics, and cancer tissue invasion. Furthermore, his expertise extends to the design and stability analysis of various physical and engineered systems.
Dr. Azanzi Jiomekong is an Assistant Professor of Computer Science at the University of Yaoundé I (Cameroon) and a Guest Researcher at TIB-Leibniz Information Centre for Science and Technology & L3S Research Center (Germany). His research focuses on neuro-symbolic AI, large language models, and multimodal food information engineering, with the goal of building FAIR food data resources for Africa. He was selected for the AAAI New Faculty Highlights program in 2023. He serves as a PC member for major AI conferences including AAAI, NeurIPS, ICLR, ECAI, and WSDM, and is involved in international projects such as THIRDWAVE (Horizon Europe MSCA-SE). He is also an co-editor of Applied Machine Learning and Data Analytics, co-organizer of AI workshops and has participated in several ISWC and NeurIPS challenges. His paper received the Best Paper Award at the 2023 Knowledge Graph and Semantic Web Conference. His team won the SemTab@ISWC, and Scholarly QALD@ISWC in 2024. .
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