Khaled Koubaa est un expert international en gouvernance d'Internet et directeur de la politique publique en Afrique du Nord chez Facebook.
Avant de rejoindre Google en 2012, où il est jusqu'en 2016 à la tête de l'équipe des relations gouvernementales et de la politique publique en Afrique du Nord, Khaled Koubaa travaille principalement comme consultant en nouvelles technologies et médias sociaux pour plusieurs gouvernements et organisations dans le monde arabe et en Afrique. Il a été membre du conseil d'administration de l'ICANN (2016).
Membre représentant du secteur privé au sein du Groupe consultatif multipartite des Nations unies. Fondateur et le président de l'Arab World Internet Institute.
A mathematics Ph.D. holder, he earned his doctoral degree from Paul Sabatier University in Toulouse in 2006. In 2013, he obtained his university habilitation diploma from the University of Sfax. Currently, he serves as a professor of applied mathematics at the National School of Electronics and Telecommunications in Sfax. He holds senior instructor certifications from Huawei in artificial intelligence and is also certified as an instructor in machine learning, deep learning and MLOps from various accredited organizations. Additionally, he is a co-founder and data scientist at DataCamp Training and Consulting. He is also a co-founder and team manager at Digital Innovation Partner, a cell of the Swiss Digital Network.
Elyes is the founder and CEO of Value a company focusing on technology transformation in multiple industries, in particular the financial sector and provides services and solutions in digital, data, artificial intelligence and strategy.
Elyes is also a Board Member at BIAT, a major financial institution in North Africa for which he previously worked as a member of the executive committee in charge of the Corporate and Investment Bank
Before joining BIAT, Elyes worked for several years with McKinsey & Company in Paris, where he served different clients in Europe, mainly Financial Institutions and Telecommunication companies, and covered different topics including strategy, organization, IT and operational excellence.
Prior to that, Elyes held various positions with Schlumberger providing IT consulting and managed major post-merger projects. He also worked with KPMG consulting in New York where he worked on restructuring projects for different financial institutions in North America.
Elyes graduated from Ecole Polytechnique (France) and Telecom Paris Engineering Schools.
Yann Ferguson have a doctorate in sociology at Inria and is an associate researcher at CERTOP (Jean Jaurès University).
Nourished by numerous collaborations with ministries, communities and manufacturers, his research and interventions focus on the relationships between people and the instruments they mobilize to deal with complexity. Winner of the Foundation for Social Sciences, he was classified by L’Usine Nouvelle among the 200 French people who are “advancing artificial intelligence in France and in the world”.
Yann Ferguson is the scientific Director of LaborIA, an action research laboratory dedicated to the impact of artificial intelligence in the professional environment.
AI innovation and Digital Trust are my focus during the recent years. Empowering digital services with most efficient and innovative AI solutions while building the proof of trust is my roadmap. Maximizing benefits of AI progress and developing safeguards for responsible and trustworthy use of data and algorithms is crucial for operational business efficiency and to benefit to people, society and the planet. Currently in charge of AI innovation and Trust at Decathlon. Co-Chair of OECD expert group on AI Risk and accountability and member of the inter-ministerial expert committee on AI within the French prime minister office. Ex-Vice Chair of AI HLEG of the European Commission in charge of "Ethical Guidelines for Trustworthy AI" report, founder of DATAIA interdisciplinary Institute and ex director of INRIA Saclay research center.
Scientific expertise covers Machine Learning, Large-Scale Multimedia Content Search and Mining, Pattern Recognition, Semi-Supervised Learning & Active Learning, Medical Imaging, Automatic Content Enrichment, Interactive Search and Personalization, Responsible AI: Transparency, Interpretability and traceability of data and algorithms. Several application domains including medical imaging, web content search, security and forensic, biodiversity, earth observation, audio-visual archives etc.
Research Director at Inria, Founding director of DATAIA Institute (Data Science, Artificial Intelligence & Society), Advisor to the Chairman and CEO of Inria in Data Science with concern to the socio-economic impact; Director of Inria Saclay Research Center for 5 years (2010-2015) and Scientific Head of IMEDIA Research Group (Large Scale Visual Content Search) for more than 10 years. I served as Scientific Coordinator of several European projects: Network of Excellence, Integrated Project and Coordination Actions including gap-analysis & road-mapping for the EU Commission. Member of the Board of Directors in Big Data Value Association, International Advisor for JST CREST/PRESTO Program (Japan), Senior Scientific Advisor for “The AI Initiative“ (Harvard Kennedy School), Member of the Scientific Councils of INRA, CentralSupelec and IRT SystemX.
I'm a technology consultant specializing in Applied Mathematics and Artificial Intelligence. With a passion for innovation, I help project and businesses harness the power of cutting-edge technologies to drive growth and success.
I have a strong track record of delivering tangible results, whether it's exploring the potential of the Metaverse for business applications or navigating complex Carbon Market regulations and modelization. My expertise lies in leveraging advanced Mathematical Models and AI algorithms to solve problems and optimize processes.
I take a client-centric approach, working closely with stakeholders to understand their unique needs and develop tailored solutions. My ability to translate complex technical concepts into clear, actionable strategies sets me apart, enabling effective collaboration between technical teams and business stakeholders.
Ernest Fokoue has an innate passion for mathematical and computational sciences, but also treasures philosophy and greatly enjoys exploring ideas that reconcile hard and soft sciences. He earned his doctoral degree from the university of Glasgow in Scotland (United Kingdom), and is currently a professor in the school of mathematics and statistics at Rochester Institute of Technology where His specializes is Statistical Machine Learning and Statistical Learning Theory. Outside of his professional life, he devotes a huge part of his time to spiritual discipleship as a devout Catholic Christian, especially in eucharistic adoration, singing and exploration of scriptures. He is the grateful and loving father of his 20 year old daughter Ellie (University of Notre Dame) and author of the springer textbook “Principles and Theory for Data Mining and Machine Learning”
Angelo Iollo graduated in Aerospace Engineering from Politecnico di Torino, Italy. After a PhD conducted at NASA Langley and granted from Politecnico di Torino, he was tenured researcher at the Politecnico di Torino and hence full professor of Applied Mathematics at Université de Bordeaux. He leads the research Team Memphis at Inria, the French national institute for Applied Mathematics and Computer Science. His research focuses on the numerical solution of partial differential equations, including schemes for compressible materials, Eulerian finite-volume approaches for fluid-structure interaction, schemes for incompressible Navier-Stokes equations, and BGK polyatomic models and schemes for rarefied flows. He works also on reduced order modeling, such as component-based model reduction in elasticity and fluid mechanics, coherent structure mapping in parameterized flows, and reduced-order modeling of conservation laws.
Présentez l'intervenant en détaillant son profil et son parcours ainsi que sa contribution spécifique au thème de la conférence.
Dr. Imen is an AI Research Engineer in InstaDeep. Her mission is to develop novel algorithms and research ideas in the AI field. She obtained her doctor's degree in Electrical and computer engineering from McGill university by contributing to integrating reinforcement learning into the energy management and planning field. Imen is also a Machine learning lecturer in a university.
Présentez l'intervenant en détaillant son profil et son parcours ainsi que sa contribution spécifique au thème de la conférence.
Mr. Saïd Agrebi is the founder and CEO of Maison Des Mathématiques and YobiTrust. This group is composed of a multidisciplinary team that includes mathematicians, computer scientists, physicists, biologists, and physicians, working to address current and future challenges in an uncertain and complex world. The mission of YobiTrust is to drive innovation in the field of goods and services such as healthcare, Industry 4.0, insurance, banking, and cybersecurity through advanced mathematical algorithms (Data Science & AI).
Saïd is a trained statistician, probabilist, and computer scientist (Sorbonne University, X). He is an expert in Data Science & AI across diverse technical environments, including Edge Computing, IoT, Hybrid Cloud, and Quantum Computing. Over the past twenty years, he has led innovative projects for major companies such as SCOR, ALLIANZ, GROUPAMA, SG, ENGIE, L’ORÉAL, and THALES.
Jean-Michel Loubes is a specialist in probability and applied statistics. He obtained an "agregation" of Mathematics, then he was admitted to the École Normale Supérieure of Cachan, and obtained a PhD in statistics. Jean-Michel Loubes began his career as a CNRS research fellow, in Orsay (Paris 11) then in Montpellier (Montpellier 2), and joined the University of Toulouse III - Paul Sabatier in 2007 with the status of University Professor.
His Research Activities concerns: Mathematical Statistics, Machine Learning, Optimal Transport and Applications to Statistics, High-dimensional data and Complexity, Fair Learning and Interpretable IA.
Mohamed Masmoudi is an associate member of the Institute of Mathematics of Toulouse, Francce and the founder of the company Adagos.
He has been a pioneer in applying mathematics to the real world while relying on the power of fundamental research.
His contributions to the development of the topological gradient have enabled him to open new perspectives in AI for building minimally sized neural networks with good predictive capabilities.
Khaled BEN DRISS is CTO & Partner of the Wevioo group, doctor-engineer with 34 years of experience in the design and implementation of business solutions driven by AI. An expert in digital transformation, he has led large-scale projects in more than 20 countries, coordinating multidisciplinary teams to deploy scalable and efficient AI systems.
Its expertise lies in the exploitation of digital and AI technologies to align business strategies with business objectives, optimize operational efficiency and support organizational change.
Recognized for his pragmatic approach and his expertise in assessing the economic impact of AI on businesses, Khaled is a graduate of the École Centrale de Lyon and holds a doctorate from Sorbonne University (UPMC).
Clément Royer is an Associate professor in optimization and data science at Université Paris Dauphine - PSL Since September 1, 2019 he is assistant professor in Paris, France · Lecturer within the Mathematics and Computer Sciences (MIDO) department. He is Currently in charge of the courses Optimization for Data and Decision Sciences and Optimization for Machine Learning (Master level). He is in LAMSADE Institute Since September 1, 2019. His research activity is at the interface of the Combinatorial optimization, algorithms and Data sciences axes.
Hatem ZAAG is a Senior CNRS Researcher in Mathematics, affiliated with LAGA, the math department of Université Sorbonne Paris Nord. He is interested in singularities in Partial Differential Equations (PDEs) and in applications of mathematics in biology.
In 1992, he became a student of “École Normale Supérieure” in Paris.
In 1998, he obtained his PhD at the “Université de Cergy-Pontoise”, under the supervision of Frank Merle.
In 1997, he was appointed as a researcher in CNRS (Centre National de la Recherche Scientifique). Later, he spent 2 years in Courant Institute (New York University), from 1999 to 2001. In 2007, he was appointed as a Senior Researcher in CNRS.
With more than 80 papers, he received many prizes and distinctions, among them the « Annales de l’Institut Henri Poincaré » prize in 2004, the « Research Scytale » from the French High Council for Integration in 2004 too. More recently, he obtained the « Tunisian of the World » distinction in 2019.
I’m a researcher at the French National Institute for Research in Computer Science and Control (INRIA), I obtained my master degree in 2006 and my PHD on 2009 in applied mathematics at the university of Paris-XI. In 2010 I moved to the department of computer science at Oxford university where I made my postdoctoral research about numerical assessment of drugs effect on the electrical activity of the heart. I have been working at Inria-Bordeaux since 2012 in the CARMEN team and my work is about modelling and numerical simulation of electrocardiograms with a special focus on the electrocardiographic imaging inverse problem.