AI serving Humanity
Moderators: Dr-Eng. Aroua Hedhili & Dr-Eng. Raoudha Chebil
pROGRAM
Google Meet Link: https://meet.google.com/wrc-eavs-bya
14h - 15h30 : “AI for Humanity: Bridging Industry and Academia”
Academia and Industrial Talks
AI-Driven Strategies for customer retention in Telecommunications
Dr-Eng. Asma Ayari earned her Ph.D. in Computer Science from the École Nationale des Sciences de l’Informatique (ENSI), Manouba. Her academic career includes lecturing positions in Tunisia and Saudi Arabia, where she specialized in AI, optimization, and programming. Currently, she is the Manager of Data Scientists at EY Tunisia, after significant roles in data science at companies like Ooredoo Tunisia and MASS Analytics, where she developed expertise in machine learning, SAS tools, and programming.
Titulaire d'un diplôme de mastère en Systèmes Pervasifs Intelligents. Actuellement inscrite en thèse de doctorat à l'École Nationale des Sciences Informatiques. Membre de l’unité de Recherche LARIA. Les travaux de recherche sont concentrés sur la détection des intrusions réseau en utilisant des techniques IA, notamment l'Apprentissage par Renforcement Multi-Agents.
Human-Centric Multi-Objective Optimization for Enhanced Worker Well-being and Productivity in Dynamic Jobshop Scheduling Problem
Dorsaf Aribi, doctorante en informatique à l'ENSI et assistante contractuelle à l'ESEN. Sa thèse porte sur l'optimisation du problème d'ordonnancement dans l’industrie intelligente en mettant l'accent sur le bien-être du facteur humain.
Exploration de l’Intelligence Artificielle dans le transport
Mouna Mnif est Docteur en Informatique de l’École Nationale des Sciences de l’Informatique (ENSI), Université de Manouba. Elle est Membre de l’Unité de Recherche LARIA, Université de Manouba, ENSI, Tunis.
PhD student in computer science, my research projects aim to develop a recommender system for learners. The main objective is to help the learners exhibit better learning behavior in the virtual environment. This is achieved by combining machine learning, pedagogical theories and mathematical modeling.
Dr-Eng. Kaouther Bouzouita
Currently working as an AI Software Engineer at InstaDeep, Kaouther Bouzouita holds a PhD in Artificial Intelligence and Multi-agent Systems and an engineering degree from the National School of Computer Studies (ENSI). With a background spanning both academia and industry, she has transitioned between academic positions and engineering roles across various organizations.
16h - 17h30 : Roundtable Discussion: "AI Serving Humanity: Exploring Opportunities and Challenges"
Pr. Wided CHAARI
Born in Tunis, Tunisia, on March 19, 1968.. Full Professor at the National School of Computer Sciences – University of Manouba, Tunisia. Currently in technical cooperation at Princess Nourah University – KSA as Leader of AI Sciences Academic Program. She obtained her MSc in Computer Science from the University of Nice Sophia Antipolis - Université Côte d'Azur (France) in 1990, and she received her PhD degree in Artificial Intelligence from the same University at the French national research institute for digital science and technology (INRIA) in 1994. She was the head of LARIA research unit in Artificial Intelligence, founding member of the Tunisian Association of Artificial Intelligence ATIA, and member of the Tunisian Research Association in Image Sciences Arts-pi. Her research interests include Machine Learning, Multi-Agent Systems, eXplainable Artificial Intelligence, and Knowledge-Based Systems.
dr-Eng. Olfa fakhfakh
PhD and Engineer degrees in Computer Science at the National School for Computer Science, Tunisia. PhD in Automation, Computer Engineering, Signal and Image Processing at Ecole Centrale de Lille, France. Associate Professor at Higher School of Science and Technology of Hammam Sousse, University of Sousse. Researcher in Artificial Intelligence & Distributed Systems at Research Laboratory Modeling of Automated Reasoning Systems (MARS), ISITCom, University of Sousse, Tunisia. Member of the AIRES (Artificial Intelligence for Renewable Energy Systems) project, co-funded by the Erasmus+ program of the Union European Commission. Member of the organizing committee of IEEE International Conference on Artificial Intelligence & Green Energy.
dR. Hamza GHARSALLAOUI
Hamza Gharsellaoui received the B.S. degree in computer science from Tunis El-Manar University, Tunis, Tunisia, in 2004, and the M.S. degree in industrial computer science from National Institute of Applied Sciences and Technology, Carthage University, Tunis, Tunisia, in 2007. He did research in computer science in Artificial intelligence, Databases and Networks, Data Science at LaRIA Laboratory, Manouba University, Manouba, Tunisia where he received the Ph.D. degree, in 2013. He was a Researcher in computer science at Al-Jouf College of Technology, Technical and Vocational Training Corporation, Sakaka, Kingdom of Saudi Arabia (KSA). He is a full-time Researcher and assistant Professor at National School of Computer Science (ENSI), Manouba university, Tunisia. He was a Temporary Lecturer at UBO University, Brest, France. Dr. Gharsellaoui is active in several projects and in other interesting international collaborations.