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Dr. Gamal ELGHAZALY is a Research scientist at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), affiliated with the Ubiquitous and Intelligent Systems department. His work focuses on autonomous driving technologies, V2X communication systems, robotics, and control systems. Key research areas include 5G-enabled teleoperated driving, high-definition map construction, and 3D perception for autonomous vehicles. He has developed platforms like RoboCar and contributed to frameworks like FastCycle for modular automated systems. Research interests span robotics kinematics (planar parallel manipulators), adaptive control methodologies (sliding mode control, fuzzy logic), and hybrid systems (cable-driven robots). His publications emphasize real-time motion planning, sensor fusion, and safety-critical systems. Recent works (2023-2025) highlight advancements in 4D perception, cloud-assisted 3D reconstruction, and V2X-enabled collaborative systems. Publications from 2017-2018 reflect early contributions on parallel manipulator modeling and control, while recent efforts focus on integrating cutting-edge technologies like 5G and edge computing into autonomous systems. His work bridges theoretical robotics with practical implementations, addressing challenges in both dynamic environments and industrial applications.

• Autonomous Driving
• V2X Communication
• Robotics
• +3 more

Marcus Völp is an Associate Professor and head of the CritiX research group at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT). His research focuses on ultra-reliable operating systems, fault and intrusion tolerant systems for cyber-physical environments, and hierarchical hybridization techniques to construct resilient computing platforms. His work bridges theoretical foundations with practical implementations, particularly in developing dependable systems-on-chip that can withstand faults and intrusions. Research spans formal verification methods, radiation-hardened hardware, blockchain security, and autonomous vehicle safety systems. Recent publications demonstrate advancement in parameterized system verification, radiation effects on routers, and N-version machine learning for autonomous systems. His group maintains strong focus on practical resilience mechanisms for real-time and critical systems across computing layers.

• Operating Systems
• Fault Tolerance
• Cyber-Physical Systems
• +5 more

Prof. Thomas ENGEL is a Full Professor of Computer Networks and Telecommunications at the University of Luxembourg's Faculty of Science, Technology and Medicine. He leads the SECAN-Lab, focusing on performance, privacy, and identity management in Next Generation Networks. His roles include membership in the European Security Research Advisory Board (ESRAB) and NATO's Information and Communication Security Panel. He coordinated major EU projects like the u-2010 Integrated Project involving IPv6-based Next Generation Networks. Prof. Engel holds a PhD in Physics and Computer Science from the University of Saarbrücken (1996) and has extensive industry experience as co-founder and vice-director of the Fraunhofer Institute for Telematics. His research spans network security, IoT, vehicular communications, and privacy-preserving protocols. Notable contributions include work on 5G-V2X security, blockchain for vehicular privacy, and anomaly detection in SCADA systems. He chairs Luxembourg's National IPv6 Council and advises NATO on electronic communications. His SECAN-Lab explores cutting-edge topics like decentralized data preprocessing and federated learning for vehicular networks. Prof. Engel's publications address challenges in automotive cybersecurity, encrypted traffic analysis, and network slicing. Recent work emphasizes cross-border 6G-V2X security and causal discovery methods for data preprocessing. He has led interdisciplinary initiatives at the University of Luxembourg's SnT center and advocates for standardized data pipelines in IoT ecosystems.

• Computer Networks
• Network and System Security
• PKI
• +3 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

Amirhossein ADAVOUDI JOLFAEI is a Postdoctoral Researcher at the University of Luxembourg's Faculty of Science, Technology and Medicine (FSTM), Department of Computer Science. His work focuses on cybersecurity, intelligent transportation systems, and blockchain technology, with a particular emphasis on privacy-preserving mechanisms in IoT, vehicular networks, and electronic toll systems. His research explores interdisciplinary areas including federated learning for 6G-V2X networks, efficient cryptographic protocols (e.g., EO-PSI-CA), and scalability challenges in blockchain-based healthcare systems. Recent studies highlight critical gaps in existing privacy-preserving protocols through case analyses of real-world infrastructures like Brisbane's toll collection system. Amirhossein is affiliated with the Maison du Nombre research facility in Luxembourg and can be reached at amirhossein.adavoudi@uni.lu . His work bridges theoretical cryptography with practical applications in transportation, healthcare, and IoT, addressing both technical and systemic security challenges.

• Cybersecurity
• Intelligent Transportation Systems
• Blockchain Technology
• +3 more