Professor Sadok BEN YAHIA
Keynote Topic: Resilient Zero-touch framework for sustainable urban mobility
Abstract: The transportation sector is responsible for 23% of energy-related CO2 emissions. Decarbonizing transportation is challenging, as it is still 92% dependent on non-renewable resources. However, current transport decarbonization-related policies are insufficient to decrease CO2 emissions to the expected level. Therefore, strategic approaches to reducing emissions from urban transport are critical to addressing the challenges of climate change. In this talk, we present our recent research activities on a framework to build the next level of innovative data-driven traffic light strategies as the most impactful action to reduce CO2 emissions within the context of urban mobility for Connected and Autonomous Cars. This Framework is committed to embracing the next generation of Edge-AI, benefiting from the ease of implementation and increased computation power toward more composable, distributed, and federated intelligence, as well as security by design frameworks. Powerful eye-bird-view multimodal data fusion approaches feed AI models for accurate CO2 and urban noise level predictions, that feed to dashboards for awareness purposes. Advanced reinforcement learning techniques make use of urban noise predictions to implement the best traffic light strategy in real time. We will also discuss the challenges to achieve resilience by proactively detecting misbehaving entities within Vehicle-to-Everything settings
Bio: Full Professor at the Southern Denmark University (SDU) since September 2023. Before joining SDU, he was full professor at Technology University of Tallinn (TalTech) since January 2019. He obtained his HDR in Computer Sciences from the University of Montpellier (France) in April 2009 and since January 2019. He is the head of the Data Science Group in the IT School, and his research interests mainly focus on data-driven approaches for near-real-time Big Data analytics, e.g., urban mobility in smart cities (e.g., information aggregation & dissemination, traffic congestion prediction), Recommendation System. and fake content fighting.
Professor Dieter Kranzlmüller
Affiliation: Ludwig Maximilians Universität Munich, Germany
Keynote Topic: Integrated Quantum and High Performance Computing
Bio: Dieter A. Kranzlmüller is the Chairman of the Board of Directors of the Leibniz Supercomputing Centre of the Bavarian Academy of Sciences and Humanities, and a professor of computer science at the Ludwig-Maximilians-Universität Munich. Kranzlmüller has a background in the IT sector, and has held positions at various universities including Reading, Dresden and Lyon. His research interests include grid and cluster computing, system programming, innovative IT infrastructure technologies and high-performance computing. In addition to his research, Kranzlmüller also supports the Center for Digital Technology and Management.