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Anas ABDELKARIM is a doctoral researcher at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT). He is affiliated with the Automation & Robotics Research group under Prof. Holger Voos, collaborating with the Electromobility department at the Technical University of Kaiserslautern (TU KL), Germany, led by Prof. Daniel Görges. Education: Master’s degree in Automation and Control Systems (2020) from TU KL. His research focuses on control systems, model predictive control (MPC), and optimization. He applies these to robotics, energy-optimal adaptive cruise control, and vehicle-to-grid profiles for microgrid peak shaving. His work also includes developing numerical solvers for online optimization and mixed-integer programming for preventive maintenance scheduling. Recent publications highlight advancements in factor graph optimization, convex optimization methods, and energy management in electromobility. He utilizes interdisciplinary approaches combining robotics, control theory, and computational efficiency to address real-world engineering challenges.

• Control Systems
• Model Predictive Control
• Optimization
• +4 more

Jeremy Hieulle is a Research Scientist and Principal Investigator of the LION project funded by Luxembourg National Research Fund (FNR). He leads the Surface & Interface Physics team under Prof. Alex Redinger at the University of Luxembourg's Department of Physics and Materials Science. His work focuses on understanding perovskite material stability for solar cell applications, employing advanced techniques like Scanning Probe Microscopy. He holds a PhD from École Polytechnique (Université Paris-Saclay, France) and has conducted postdoctoral research at institutions including ICN2 (Spain), CIC nanoGUNE (Spain), and OIST (Japan). Key research areas include light-induced degradation mechanisms in perovskites and graphene nanoribbon synthesis. He has contributed to high-impact projects like MAGNUM (awarded EU Seal of Excellence) and participated in outreach initiatives such as the Science Festival and Scienteens Lab workshops. His work bridges fundamental physics with renewable energy applications, emphasizing material stability and commercialization of clean energy solutions. Publications have been featured on journal covers including Angewandte Chemie (2021) and Chemical Communications (2015). His career spans academic institutions in Spain, Japan, and France before joining Luxembourg. Teaching includes experimental physics for bachelor students and public engagement in renewable energy education.

• Perovskite Materials
• Solar Cells
• Graphene Nanoribbons
• +4 more

Mirco Panighel is a Postdoctoral Researcher in the Scanning Probe Microscopy Laboratory at the Department of Physics and Materials Science , University of Luxembourg. He is part of the Surface & Interface Physics research group led by Professor Alex Redinger. Previously, he held postdoctoral positions at the Catalan Institute of Nanoscience and Nanotechnology (Barcelona) and the Italian National Research Council (Trieste). He joined the University of Luxembourg in 2024 after completing his PhD in Nanotechnology (2015) and Master in Condensed Matter Physics (2011) at the University of Trieste. Education: PhD in Nanotechnology, University of Trieste, 2015 Master in Condensed Matter Physics, University of Trieste, 2011 Research Interests: His work focuses on developing novel materials for photovoltaic applications, leveraging advanced microscopy and spectroscopy techniques at the atomic level. Key areas include graphene-based nanomaterials , catalytic systems , and surface engineering . He explores mechanisms like CO adsorption on single-atom catalysts, graphene-substrate interactions, and scalable synthesis of doped graphene. Publications: Recent work spans topics such as single-atom catalysts , FPGA-based SPM controllers , and FAIR data frameworks . His articles highlight interdisciplinary approaches to nanoscience, combining materials synthesis with advanced data management practices. Awards: No scientific awards explicitly mentioned in the provided information. Advising & Labs: While no advisees are listed, he contributes to the lab’s efforts in surface-assisted polymerization and atomic-level material analysis . The lab emphasizes real-time imaging and scalable synthesis techniques. Labs/Teams: Active member of the Scanning Probe Microscopy Laboratory , collaborating on projects involving interdisciplinary nanotechnology and FAIR data initiatives.

• Nanotechnology
• Materials Science
• Photovoltaic Materials
• +4 more

Professor Stephan Leyer leads the Applied Thermodynamics group at the University of Luxembourg's Department of Engineering. His research focuses on transport phenomena in fluid systems with applications in nuclear safety, energy optimization, and filtration technology. Research areas include energy system analysis, nuclear reactor safety, gas dynamics, and multiphase flow modeling. Recent projects examine passive containment cooling systems and membrane distillation enhancement. Industrial experience includes former roles at AREVA Group and Framatome ANP GmbH in fluid dynamics development and reactor design. He holds a PhD in Physics from Karlsruhe Institute of Technology.

• Thermodynamics
• Heat Transfer
• Nuclear Technology
• +2 more

Professor Jean-Régis Hadji-Minaglou holds the Chair in Power Electronics at the University of Luxembourg's Department of Engineering. He leads the Energy Mix research group focusing on dynamic modeling of ground antennas, measurement systems for model validation, and intelligent electrical power production from renewable sources. Prior to joining academia, he worked as an Electro-Mechanical Engineer at HITEC Luxembourg designing drive trains for Galileo ground antennas, and as a Process Control Engineer at DuPont de Nemours specializing in industrial automation for polyester manufacturing.

• Power Electronics
• Electrical Machines
• Renewable Energy Systems
• +1 more

Florian Hertweck is Full Professor in Architecture at the University of Luxembourg, leading the Master's program in Architecture. Previously, he held positions at École Nationale Supérieure d'Architecture de Versailles and Academy of Fine Arts Nuremberg. His research centers on socio-ecological transformation of urban environments. Research focuses on: Low-carbon urban futures Sustainable spatial models for metropolitan regions Integration of ecological principles in territorial design Post-industrial landscape regeneration Notable projects include directing 'Luxembourg in Transition' (developing spatial visions for carbon-neutral futures) and co-leading the Grand Genève spatial model consultation. Serves on Luxembourg's Superior Council for Spatial Planning (CSAT) and the scientific board of the Institute for Climate Protection, Energy and Mobility (IKEM). Curated the Luxembourg Pavilion at the 2018 Venice Architecture Biennale and co-curated 'The Great Repair' exhibition in Berlin and Paris. Editorial contributions include 'The Great Repair: Politiken der Reparaturgesellschaft' and 'Architektur auf gemeinsamem Boden: Positions and Models on the Land Question'. Conducts feasibility studies for Luxembourg government on architectural and urban development projects.

• Urban Transformation
• Socio-ecological Systems
• Sustainable Architecture
• +3 more

Catherine Jones is Assistant Professor in Digital Human Geographies at the University of Luxembourg's Department of Geography and Spatial Planning. Her research develops innovative geospatial methods to study technology adoption patterns, urban transformations, and cultural heritage engagement. She designs location-based mobile applications with augmented reality to capture public perceptions of energy transitions. Recent projects map solar PV diffusion in Luxembourg and co-design carbon descent games to support sustainability education. Jones employs participatory approaches including co-design workshops for cultural heritage applications and board game prototyping for location-based experiences. Her work advances geovisualization techniques for analyzing collective memory in social media data.

• Digital Geography
• Spatial Analysis
• Urban Environments
• +2 more

Stefan MAAS is a Full Professor at the University of Luxembourg's Faculty of Science, Technology and Medicine (FSTM), leading the Applied Mechanics and Energy Efficiency research group within the Department of Engineering. His expertise spans statics, dynamics, finite element methods, material strength, control drive systems, and renewable energy applications. Education: Earned a doctoral degree in mechanical engineering from the University of Kaiserslautern in 1991. Research: Specializes in energy efficiency in buildings, mechatronics, and sustainable engineering solutions. Serves as former Study Programme Director for the Master en Sciences de l’ingénieur – Efficacité énergétique et économique and Master en Développement durable – Énergie et Environnement programs. Experience: Combines academic leadership with industrial sector experience from roles as researcher, project engineer, and department head at various companies. Has been actively teaching and conducting applied research at the University of Luxembourg since 1999. Location: Based at the University of Luxembourg's Central Building (BC), office E00 C08.

• Applied Mechanics
• Energy Efficiency
• Renewable Energy
• +3 more

Slawomir KEDZIORA is an Associate Professor of Mechanical Engineering and Design at the University of Luxembourg's Faculty of Science, Technology and Medicine (FSTM), leading the Computer-Aided Engineering & Additive Manufacturing research group. He serves as the Study Program Director for the Master's in Sustainable Product Creation. His expertise spans additive manufacturing, machine design, and structural analysis, with over 50 peer-reviewed publications and active industry collaborations. Education: PhD in Applied Mechanics (2000) from the Technical University of Lodz, followed by roles as an assistant professor and industry engineer at Delphi, Eaton, and DNV GL. His industry experience focused on reliability and stress engineering for mechanical/civil structures before joining academia in 2014. Teaching: Leads Machine Design courses across undergraduate and graduate programs, including Machine Design I-III (undergraduate), Machine Design Projects (master's), and civil engineering design exercises (2014–present). Supervised four completed PhD students and currently advises three more. Research: Priorities include additive manufacturing innovations, material modeling, and biomechanical testing setups for pelvic fractures. Active in developing functionally graded lattice structures and optimizing hydrogen valve designs for aerospace applications. Industry Collaboration: Engages in R&D projects with industry partners, focusing on material characterization and structural optimization. Leads efforts to bridge academic research with industrial applications in manufacturing and mechanical design.

• Mechanical Engineering
• Additive Manufacturing
• Finite Element Analysis
• +3 more

Arunkumar RATHINAM is a Postdoctoral researcher at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), specifically within the CVI2 department. His research focuses on autonomous systems, spacecraft navigation, and machine learning applications in space exploration. He has contributed to the development of datasets like SPARK and Zero-G Lab, which advance space operations emulation and computer vision techniques. Affiliations: SnT-CVI2, University of Luxembourg Key Research Areas: spacecraft pose estimation, thermal anomaly detection, autonomous navigation, and robotics for space missions His work bridges machine learning with practical space systems, addressing challenges in thermal monitoring (e.g., Li-ion battery cells) and vision-based navigation for spacecraft proximity operations. He has pioneered experimental facilities like the Zero-G Lab to simulate microgravity environments and test space robotics systems. Notable contributions include datasets such as SPARK and AKM, which provide critical data for training models in spacecraft trajectory estimation and textureless target detection. His publications emphasize real-world applications of AI in space systems, including RGB-T pedestrian detection and hybrid attention mechanisms for robust vision systems.

• Spacecraft Navigation
• Autonomous Systems
• Computer Vision
• +5 more

Hanna Marxen is a Postdoctoral researcher at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), affiliated with the FINATRAX research group and the INDUCTIVE project team. Her research focuses on understanding consumer perspectives in energy transition technologies, particularly in smart charging systems and data privacy considerations. Education: Master’s in Intercultural Psychology, University of Osnabrück (2021) Bachelor’s in Psychology, University of Luxembourg (2018) Research interests center on designing energy transition technologies that ensure consumer acceptance, including topics like smart charging flexibility, direct load control programs, and privacy implications of data sharing through smart apps. She employs survey design and statistical analysis to explore these themes. No scientific awards or grants are explicitly mentioned. She has advised no students, though her work involves collaborative projects across institutions. Current affiliations include the FINATRAX research group and INDUCTIVE project, focusing on interdisciplinary energy transition solutions.

• Energy Transition
• Consumer Behavior
• Smart Technologies
• +3 more

Sergio Potenciano Menci is a Postdoctoral Researcher at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) within the University of Luxembourg. His research focuses on smart grids, energy systems, and machine learning applications in energy management. He contributes to projects like the Energy Synchronization Platform, aiming to optimize industrial demand response and grid flexibility. His work addresses challenges in electricity markets, distributed energy resources, and privacy-preserving technologies like federated learning. Key areas of expertise include: Design of local flexibility markets for congestion management Short-term load forecasting with spatiotemporal models Privacy-preserving federated learning for energy data Optimization of battery storage in intraday markets Scalability analysis of smart grid functions Publications emphasize energy market structures, data imputation for smart meters, and regulatory frameworks for grid safety. His work intersects technical innovation with policy considerations, addressing both European energy systems and global climate risks. Active in collaborative projects like InteGrid and InterFlex, he explores grid management services and functional scalability in distribution networks. Research outcomes include frameworks for assessing vulnerability of national economies to physical climate risks and taxonomies for local flexibility markets.

• Energy Systems
• Smart Grids
• Electricity Markets
• +6 more

Jorge Augusto Meira is a Research Scientist at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), specifically within the Services and Data Management research group (SEDAN). He holds a PhD in Computer Science from the University of Luxembourg (2014) and has 15+ years of experience spanning industry and academic research roles including software development, system analysis, data science, project management, and principal investigator positions. His research focuses on machine learning applications in anomaly detection (e.g., anti-money laundering), big data analytics, recommendation systems, and database optimization. Notable areas include cybersecurity for blockchain networks, insurance risk modeling using Hawkes processes, and energy-efficient database architectures. Publications span topics like vehicle routing optimization, natural disaster prediction models, and privacy-preserving data systems. He has contributed to both theoretical advancements and practical implementations in areas like smart grid monitoring and aviation predictive maintenance. His work frequently bridges AI techniques with real-world infrastructure challenges across transportation, finance, and healthcare sectors. Led by Prof. Radu State, the SEDAN group focuses on service-oriented architectures and data management innovations. While no formal awards are listed, his extensive publication record reflects sustained contributions to interdisciplinary tech research.

• Machine Learning
• Big Data Analytics
• Anomaly Detection
• +5 more

Ashok BANDI is a Researcher at the Signal Processing & Satellite Communications group (SIGCOM) within the Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg. His research focuses on Sparse Signal Recovery and Wireless Communications, particularly in structured sparsity modeling and signal recovery in communication systems. Education: Master’s degree from National Institute of Technology (NIT Trichy), India (2012). Research Interests: Design of physical layer systems for WLAN standards (802.11a/n/ac). Development of efficient algorithms for structured sparse signal recovery in satellite and wireless communication systems. Integration of sparsity principles into on-board beamforming for high-throughput satellite systems. Advisors: Prof. Björn Ottersten and Dr. Bhavani Shankar MYSORE RAMA RAO. Labs/Teams: Part of the Signal Processing & Satellite Communications (SIGCOM) research group led by Prof. Björn Ottersten.

• Wireless Communications
• Sparse Signal Recovery
• Communication Systems
• +4 more