8th International Conference on Machine Learning for Networking (MLN'2025)
Keynote: Saadi Boudjit, Professor at University of Rouen Normandy, France
Title: Optimizing UAV-Based Applications through the Convergence of IoT, ITS, and AI
Abstract
The convergence of Intelligent Transportation Systems (ITS), the Internet of Things (IoT), and Artificial Intelligence (AI) is reshaping the landscape of modern mobility. Indeed, the integration of IoT and AI can significantly enhance the efficiency, scalability, and intelligence of ITS applications. IoT technologies enable real-time data collection from diverse sources such as vehicles, UAVs, infrastructure, and mobile devices, while AI algorithms facilitate data analysis, prediction, and decision-making processes. By combining these two paradigms, we aim to optimize key ITS functionalities, including traffic management, incident detection, autonomous vehicle coordination, and the intelligent deployment of UAVs in transportation contexts. In this talk, I will highlight some representative approaches that explore this integration and leverage UAVs within AI and IoT-driven ITS frameworks, while also discussing current limitations related to scalability, interoperability, and adaptability in real-world deployments. Finally, I will outline promising research directions aimed at enabling more efficient, and adaptive UAV-based ITS services.
Biography
Saadi Boudjit is a Professor at the University of Rouen Normandy and a member of the Intelligent Transportation Systems (ITS) team within the LITIS Lab. Previously, he was an Associate Professor at the University Sorbonne Paris Nord and a Research Fellow at Telecom ParisTech. He obtained his Ph.D. in Computer Science from INRIA Paris, where he also worked as an expert engineer for three years. His research focuses on wireless ad hoc architectures, and he has been involved in several national and international research projects, including QNRF NPRP8-140-2-065, THD, SoundDelta, R2M, IPANEMA, PRIMA, among others. Saadi Boudjit is the initiator and Co-Chair of the ACM MobileHealth Workshop and has contributed to the organization of various international conferences and workshops such as IEEE WiMob, IEEE ISNCC and IEEE/IFIP PEMWN. He has also served, or continues to serve, as a Technical Program Committee (TPC) member for numerous IFIP, ACM, and IEEE conferences and workshops, including HealthCom, MobileHealth, ICC, Globecom, CAMAD, WCNC, WONS, VTC, and DCOSS. His research interests span wireless networks, parallel and distributed computing, protocols and architectures design for mobile ad hoc networks, wireless sensor networks, vehicular networks, and eHealth systems.