Laurence Devillers

Sorbonne Université & CNRS – LISN Laboratory, France

Professor of Artificial Intelligence at Sorbonne University and researcher at CNRS within LISN, Laurence Devillers holds the HUMAAINE Chair: Human-Machine Affective Interaction & Ethics. Her research focuses on human-machine interaction, emotion detection, spoken dialogue systems, affective robotics, and AI ethics. She has authored more than 200 scientific publications and several essays including Des robots et des hommes (2017), Les robots émotionnels (2020), IA, Ange ou Démon ? (2025), and Savoir vivre avec l’IA (2026).

Ramzi Guetari

Global Head of AI Department, Strats & Sparks GmbH, Germany

Prof. Dr. Ramzi Guetari earned his Ph.D. in Computer Science from the University of Savoie (France). With over 35 years of experience across research, academia, and industry, he has held positions at INRIA, EPFL Lausanne, and the Higher Institute of Computer Science in Tunis. He has also served in senior technical leadership roles at WIPO (Geneva) and as CTO at NESS Technologies. His research spans Artificial Intelligence, Machine Learning, adaptive systems, medical image analysis, relation extraction, and AI-driven drug discovery.

Nour El Houda Ben Chaabene

Sorbonne Université & STIH Laboratory, France

Nour El Houda Ben Chaabene is a researcher in applied computer science at Sorbonne University (STIH Laboratory). Her research focuses on explainable and emotionally aware AI, large language models, neuro-symbolic architectures, and neural machine translation. She investigates cognition, reasoning, and emotions in digital environments, aiming to design transparent, adaptive, and ethically grounded intelligent systems.

Omar Sami Oubbati

Keynote Title: Revolutionizing Connectivity: Digital Twins and Drone-Assisted Networks

Gustave Eiffel University, Paris, France

Associate Professor at University Gustave Eiffel and member of LIGM (CNRS UMR 8049). His research focuses on Flying and Vehicular Ad Hoc Networks, Mobile Edge Computing, Energy Harvesting, and the Internet of Things (IoT). He is recipient of the 2019 Best Survey Paper Award (Elsevier) and has been listed among Stanford University's Top 2% Scientists multiple times.

Khawla Bouaafia

Eötvös Loránd University (ELTE), Budapest, Hungary

Dr. Khawla Bouaafia is an Assistant Professor at ELTE. Her research focuses on information systems engineering, blockchain technologies, agentic AI, machine learning systems, and decentralized architectures. She works on AI-driven decision-support systems, secure process management, and explainable, ethically grounded intelligent infrastructures.