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Francesco Viti is an Associate Professor in Engineering Science (Traffic Planning and Management) at the University of Luxembourg, leading the MobiLab Transport Research Group within the Department of Engineering. His research focuses on mobility analysis, transport electrification, intelligent transport systems, and data science applications in transportation. He coordinates projects on public transport electrification, Mobility-as-a-Service (MaaS), and freight logistics optimization. Viti has authored over 250 publications and serves as an associate editor for journals like Transportation Research Part C. He advises the Luxembourgish government and the European Commission on transportation policy. Research Interests: Viti’s work spans traffic flow theory, transport electrification, MaaS modeling, and data-driven solutions for urban mobility challenges. Current projects include optimizing electric feeder bus services, analyzing ride-hailing fleet management under dynamic energy prices, and enhancing freight train operations through maintenance simulation. Key Contributions: His group develops models for synthetic population generation, demand estimation using crowdsourced data, and network equilibrium under interacting mobility providers. Recent studies explore the integration of digital twins for urban mobility and CCAM systems, as well as the impact of total cost of ownership on MaaS adoption.

• Transportation Planning
• Traffic Engineering
• Intelligent Transport Systems
• +5 more

Faisal HAWLADER is a Postdoctoral Researcher at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), within the Ubiquitous and Intelligent Systems (UBIX) research group. Advised by Dr. Raphaël Frank, his work focuses on Connected and Automated Vehicle (CAV) technologies, particularly cooperative driving strategies leveraging V2X communication and 5G networks. His research emphasizes real-time object detection, distributed perception systems, and teleoperated driving solutions. Education : Master's degree in Information and Computer Sciences, University of Luxembourg (2020) Research Interests : Faisal's research addresses challenges in cooperative perception for autonomous vehicles, including occlusion-free 4D perception, edge-cloud hybrid computing for 360-degree sensing, and infrastructure-assisted distributed perception strategies. He also investigates cybersecurity aspects of vehicular networks, such as detecting false position attacks. Publications Trends : His recent work emphasizes V2X-enhanced perception systems (e.g., V2X-BEVDet4D), 5G-enabled teleoperation, and experimental evaluations of cooperative perception in realistic scenarios. Key themes include real-time object detection algorithms, latency optimization in edge-cloud architectures, and closing simulation-reality gaps in vehicular perception systems. Awards : No scientific awards explicitly mentioned. Advising & Grants : No advisees or grants listed in the provided data. Labs/Teams : Member of the UBIX research group, collaborating on cutting-edge projects related to intelligent transportation systems and vehicular communication technologies.

• Connected and Automated Vehicles
• Cooperative Driving Strategies
• V2X Communication
• +3 more