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Gilbert Fridgen is Full Professor in Digital Financial Services and holder of the PayPal-FNR PEARL Chair at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT). He leads the FINATRAX research group focusing on blockchain, digital identity, and sustainable digital solutions. His research explores decentralized technologies in finance, energy systems, and public administration. Current projects investigate blockchain applications in industrial demand response, NFT markets, EU digital identity wallets, and DeFi institutional adoption. Prof. Fridgen examines the intersection of technology with regulatory frameworks and user behavior in energy and financial systems. He collaborates extensively with industry partners including PayPal and Spuerkeess. Prof. Fridgen actively contributes to EU digital policy discussions, particularly regarding the European Digital Identity Wallet framework and decentralized finance governance.

• Digital Financial Services
• Blockchain
• Decentralized Finance
• +4 more

Massimiliano Esposito is a Full Professor of Theoretical Physics at the University of Luxembourg, affiliated with the Faculty of Science, Technology and Medicine (FSTM) and the Department of Physics and Materials Science. His research focuses on statistical physics, complex systems, thermodynamics, chemical networks, and quantitative biology. He holds positions such as ERC Fellow (2016-2021) and Attract Fellow (2012-2017). Education includes a Ph.D. in Sciences (2004) and a degree in Chemistry (2000) from the Free University of Brussels (Belgium), alongside a European Baccalaureate (1996) from Luxembourg. His work bridges stochastic thermodynamics, quantum thermodynamics, and chemical reaction networks, with contributions to fluctuation theorems, energy transduction, and non-equilibrium systems. Key achievements include seminal papers on nonequilibrium fluctuation-response relations, quantum thermodynamics, and chemical reaction network theory. He has been a guest editor for journals like Physica A and Physical Review X, and serves on editorial boards such as Physical Review Letters. His lab explores emergent phenomena in complex systems, with applications in biology and nanotechnology.

• Statistical Physics
• Complex Systems
• Thermodynamics
• +2 more

Grégoire DANOY is a Researcher at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability, and Trust (SnT) and Head of the Parallel Computing and Optimization Group (PCOG). He specializes in artificial intelligence, with a focus on optimization algorithms, machine learning, and swarm intelligence. His work addresses challenges in cloud computing, high-performance computing, smart mobility, and unmanned autonomous systems like drone swarms. He has authored over 150 publications, including articles in IEEE Transactions and conferences like NeurIPS and GECCO. He currently leads major projects such as UltraBO (€1.019M), ADHOC (€1.291M), and SERENITY (€1.228M), collaborating with institutions in France and Poland. Education: PhD in Computer Science (2008) from École Nationale Supérieure des Mines de Saint-Étienne, Master’s in Computer Science (2004), and Industrial Engineering Degree (2003) from Luxembourg University of Applied Sciences. Research Interests: Developing novel AI techniques for solving large-scale optimization problems, with applications in distributed systems, autonomous robotics, and federated learning. He emphasizes scalable solutions for combinatorial challenges using parallel computing and swarm intelligence. Grants & Projects: Principal Investigator for EU-funded initiatives like ADARS (2021–2024) and FNR PoC/SIMMS (2019–2021). His work bridges academia and industry, with technology transfer projects in autonomous robot swarms. Awards: Recognitions include the Best Student Paper Nomination (2022), IEEE CybConf Best Paper Award (2017), and ACM GECCO nominations (2016, 2009). He serves on the editorial board of Engineering Applications of Artificial Intelligence (EAAI). Labs & Teams: Leads the Parallel Computing and Optimization Group (PCOG), focusing on interdisciplinary research in AI and distributed systems. He also contributes to outreach programs like FNR's Researchers at School.

• Artificial Intelligence
• Optimization Algorithms
• Machine Learning
• +5 more

Alfredo Capozucca is a full permanent Researcher at the Department of Computer Science (DCS) within the Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg. He holds a PhD in Computer Science from the University of Luxembourg (2010) and an M.S. from the National University of Rosario, Argentina (2003). His research focuses on modern software engineering methods, dependable systems, and computing education, with an emphasis on formal verification and sustainable computing practices. Capozucca has contributed to the design of courses at undergraduate and master's levels, including serving as Deputy Programme Director for the BSc in Computer Science from 2021-2024. His work bridges theoretical foundations with practical applications in education and industry. Research interests prominently include AI in education (e.g., ChatGPT's role in formal specification writing), formal verification techniques, and the integration of DevOps philosophies into academic curricula. He has authored numerous papers on topics ranging from security policy analysis to energy-efficient transactional models. Capozucca's contributions extend to open-source projects and tool development, such as the Messir UML requirements engineering tool. His teaching spans software engineering fundamentals, dependability, and modern DevOps practices, reflecting a commitment to aligning education with industry needs. Key professional roles include R&D engineer positions (2004-2006) and leadership in educational program design. His research infrastructure is based at the Maison du Nombre facility in Luxembourg. While no specific grants or awards are listed, his extensive publication record and teaching contributions highlight sustained academic engagement.

• Software Engineering
• Dependable Systems
• Computing Education
• +3 more

Maxime CORDY is a Research Scientist at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) , University of Luxembourg, within the Security, Design and Validation group (SerVal) . He holds a PhD from the University of Namur (Belgium, 2014) and specializes in software engineering, applied artificial intelligence, and cybersecurity. His work focuses on adversarial machine learning, deep learning robustness, and model checking for critical systems. Research interests include adversarial attacks on tabular data , energy system optimization , code understanding models , and software quality assurance . Recent projects address challenges in secure AI deployment, automated test generation, and fault detection in large language models. Publications emphasize empirical studies on adversarial defenses, data augmentation for code models, and energy consumption forecasting. He contributes to tools like Daedalux (variability-aware model checking) and benchmarks like Tabularbench for adversarial robustness evaluation. Current affiliations include leadership within the SerVal group and collaborations on interdisciplinary projects such as MALETSQUE (Machine Learning Techniques for Software Quality Evaluation). His work bridges theoretical computer science with practical applications in energy systems, medical imaging, and space program design.

• Software Engineering
• Artificial Intelligence
• Machine Learning
• +7 more

Alexander SKUPIN is an Associate Professor and Chief Scientist in the Luxembourg Centre for Systems Biomedicine (LCSB) at the University of Luxembourg, specializing in Modelling of Biomedical Data. His research focuses on computational systems biology, neurodegenerative diseases, and integrative multi-omics analysis. Key research interests include modeling cellular energy metabolism, microglial dynamics in neurodegeneration, and calcium signaling dysfunction in Parkinson’s and Alzheimer’s diseases. His work combines experimental data with advanced computational methods to dissect disease mechanisms and predict therapeutic targets. Recent publications highlight innovations in: Sex-specific transcriptomic changes in tauopathy models Computational models of astrocytic morphology and mitochondrial efficiency Multi-omics integration for Parkinson’s disease intervention points Epidemiological modeling using Kalman-filtered SIRS networks No scientific awards explicitly mentioned. Advising and grants: No specific advisees or grant details listed, but his work implies leadership in collaborative projects involving organoid models and patient-derived xenografts. Labs/Teams: Part of LCSB’s Integrative Cell Signalling group, collaborating on systems biomedicine initiatives involving computational modeling and experimental validation.

• Systems Biomedicine
• Neurodegenerative Diseases
• Computational Modelling
• +6 more

Eva LAGUNAS is an Assistant Professor and Deputy-Head of the SIGCOM research group at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) , University of Luxembourg. Her expertise lies in Non-Terrestrial Communication Systems , focusing on radio resource management and wireless networks optimization. She holds a Ph.D. and M.Sc. in Telecommunications Engineering from the Polytechnic University of Catalonia (UPC), Barcelona. Key Affiliations & Roles: Principal Investigator (PI) of the FNR CORE project VARRAY-5G (Vehicular Phase Array Antennas for 5G) PI of the CHIST-ERA project SHIELD (Secure Distributed Learning & Smart Contract Ecosystems) Co-PI in the ESA ARTES-funded NeuroSat project (Neuromorphic Processors for SatCom) Deputy-Head of SIGCOM group and active contributor to the TelecomAI-Lab (AI-driven satellite communication) Event organizer: Special Session on ML for NTN at IEEE ICMLCN 2025, Track Chair at EUCNC 2025 Research Interests: Non-Terrestrial Networks (NTN), 6G integration, satellite-ground network convergence, AI-driven optimization, reconfigurable intelligent surfaces (RIS), and neuromorphic computing for onboard processing. She also leads efforts in vehicular communications and energy-efficient satellite payloads. Recent Achievements: 2025: Elected to the EURASIP Board of Directors 2024: Listed in the 100 Brilliant and Inspiring Women in 6G list 2023: Co-authored NeuroSat project's IEEE publication on neuromorphic computing for SatCom Labs & Projects: TelecomAI-Lab : Developing neuromorphic hardware (e.g., Intel Loihi2, BrainChip AKIDA) for satellite applications ESA NeuroSat : Pioneering neuromorphic processors for onboard SatCom resource management Grants & Funding: Secured Luxembourg National Research Fund (FNR) and CHIST-ERA grants for projects like VARRAY-5G and SHIELD, totaling over €2M in research investment.

• Non-Terrestrial Networks (NTN)
• 6G Communication Systems
• Satellite Communications
• +5 more

Christian SCHULZ is a Full Professor of European Sustainable Spatial Development and Analysis at the University of Luxembourg, serving as Head of the Department of Geography and Spatial Planning. He specializes in socio-ecological transitions, sustainability transitions, and post-growth geographies. His research integrates environmental justice, circular economy, and regional development, with a focus on sufficiency-oriented practices and policy frameworks. Education: Studied geography in Saarbrücken (Germany), Québec (Canada), and Metz (France). Earned a PhD in 1997 (Saarland University) and completed his habilitation thesis in 2004 on environmental producer services and knowledge transfer in manufacturing. Prior roles include professorships at Saarland University, University of Metz, University of Cologne, and others. Teaching: Leads courses in the Master in Geography and Spatial Planning (MAGEO), Formation Continue en Aménagement du Territoire (FCAT), and the Doctoral School in Humanities and Social Sciences (DSHSS). Research contributions include co-editing an Open-Access anthology on post-growth geographies and co-authoring a textbook on economic geographies of sustainability (in German). Visiting Positions: Held roles at Simon Fraser University (Canada), Sun Yat-sen University (China), Worcester Polytechnic Institute (USA), and the University of Hull (UK). Active in the Academy for Territorial Development (ARL) within the Leibniz Association. Publications: Over 50 peer-reviewed articles and books, emphasizing sustainability transitions, alternative economies, and regional governance. Recent works include studies on green finance, post-growth policy, and spatial practices of well-being alternatives.

• Human Geography
• Economic Geography
• Sustainability Transitions
• +3 more

Sylvain Kubler is a Researcher at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) within the University of Luxembourg's SerVal group. He holds a PhD from Université de Lorraine (2013) and previously served as an Associate Professor at the Research Center for Automatic Control of Nancy. His work focuses on IoT applications, decision support systems, and their integration into Industry 4.0, renewable energy, and smart cities. He has contributed to projects involving blockchain consensus mechanisms, maintenance scheduling, and energy system optimization. His research emphasizes sustainable technologies and distributed systems security. Research Interests: IoT and Blockchain Integration Decision Support Systems for Smart Cities and Industry Renewable Energy and Multi-Energy Networks AI-Driven Maintenance and Prognostics Privacy-Preserving Distributed Systems Recent Contributions: Sylvain’s recent work explores adaptive blockchain frameworks (e.g., DRAFTEE), reinforcement learning for maintenance scheduling, and explainable AI (XAI) in prognostics. His articles analyze trade-offs in federated learning architectures and multi-level energy system coordination. Affiliations and Labs: A core member of the SerVal group, he collaborates on initiatives like the IoT-based BIoTope ecosystem and the Sabine blockchain project. His work aligns with Luxembourg’s focus on secure, reliable, and sustainable technological solutions.

• IoT
• Decision Support Systems
• Industry 4.0
• +4 more

Laura ANDOLFI is a Doctoral Researcher at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) within the FINATRAX department at the University of Luxembourg. Her work focuses on the intersection of energy systems, policy, and consumer behavior. Key research areas include smart grids, building energy management, and the sociotechnical aspects of energy literacy. Her research explores how energy policies and technological advancements can be harmonized with public engagement to drive sustainable practices. Notable contributions include studies on European electricity market structures, early adopter behaviors in smart energy technologies, and the impact of environmental values on energy flexibility provision. Laura’s publications reflect a multidisciplinary approach, blending policy analysis with technological and sociological insights. She is affiliated with the University of Luxembourg’s Belval Campus, office JFK E02 224.

• Energy Policy
• Smart Grids
• Building Energy Management
• +3 more

Dr. Ines Chihi is Assistant Professor of Electrical Measurement and Sensor Technology at the University of Luxembourg. She leads the Advanced Engineering and Smart Sensors Solutions research group, focusing on electrical measurement technologies, smart sensors, and estimation of complex systems with unpredictable behaviors. Her research has applications in bioengineering, energy, and Industry 4.0. Since September 2024, she serves as Study Programme Director for the Master en Sciences de l’ingénieur – Efficacité énergétique et économique and Master en Développement durable – Énergie et Environnement.

• Electrical Measurement
• Sensor Technology
• System Identification
• +1 more

Juan Carlos Merlano Duncan is a Research Scientist at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), specializing in the SigCom department. He contributes to the SATSENT project with Prof. Ottersten and Dr. Symeon Chatzinotas, focusing on satellite sensor networks for spectrum monitoring. His roles include advancing technologies in wireless communications, remote sensing, and embedded systems. **Education:** Bachelor's in Engineering from Universidad del Norte (2004) M.Sc. and Ph.D. in Telecommunications from Universitat Politècnica de Catalunya (2009 and 2012) **Research Interests:** Wireless communications, remote sensing, distributed systems, Software Defined Radios (SDR), embedded systems, and AI-driven satellite technologies. His work emphasizes FPGA design, radar systems (e.g., SABRINA project), and cognitive radio networks. **Publications:** Recent work spans AI in satellite communications, digital beamforming, and energy-efficient MIMO systems. Notable themes include STAR-RIS networks, onboard image classification, and THz reconfigurable surfaces. **Grants & Advising:** No explicit grants or advisees listed, though his projects imply collaborative research funding. He has led FPGA implementations for radar and cognitive radio systems. **Labs & Teams:** Core member of SnT’s SigCom group, contributing to satellite telecommunication testbeds using COTS devices and onboard processing architectures.

• Wireless Communications
• Remote Sensing
• Distributed Systems
• +6 more

Nicolas SANNIER is a Postdoctoral Researcher at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), specifically within the Software Verification and Validation (SVV) research group led by Prof. Lionel Briand. He holds a PhD in Computer Science from the University of Rennes (France, 2013). His research focuses on regulatory compliance, legal requirements engineering, and the application of model-driven engineering, natural language processing, and machine learning to analyze legal and regulatory texts. Key areas include GDPR compliance for software systems, automated regulatory change analysis, and formalization of legal policies. Previously, he worked at EDF, Inria, and other institutions. His work bridges academic research with practical applications in industries such as finance and nuclear energy. He develops frameworks for extracting semantic legal metadata, simulating legal policies, and automating compliance checks using runtime verification techniques. His expertise includes natural language processing for legal texts, automated cross-reference resolution, and technology transfer projects. His research has produced tools like MatrixMiner and frameworks for regulatory requirements modeling (e.g., INCREMENT). He emphasizes long-term sustainability of safety requirements repositories and addresses challenges in variability and traceability in complex systems. Current trends in his publications focus on AI-driven compliance solutions, GDPR privacy concerns in mobile apps, and automated analysis of financial regulations.

• Software Engineering
• Regulatory Compliance
• Legal Requirements Engineering
• +5 more

Dr. Tedros Salih ABDU is a Postdoctoral researcher at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), specifically within the SigCom department. His work focuses on advancing satellite communication systems, particularly leveraging artificial intelligence and machine learning for optimizing resource management, ground segment planning, and network efficiency in non-geostationary and geostationary satellite constellations. His research interests span satellite communication, AI-driven network solutions, resource allocation strategies, and high-throughput systems. He explores challenges in demand-aware adaptive systems, interference mitigation, and energy-efficient designs for next-generation satellite networks. Recent publications highlight trends in AI applications for SATCOM, ground station optimization for NGSO constellations, and precoding techniques for bandwidth and power efficiency. His work contributes to both theoretical advancements and practical solutions for scalable satellite infrastructure. Dr. ABDU's affiliations include the SnT Centre at the University of Luxembourg, where he collaborates on interdisciplinary projects. He is based at the Belval Campus in Luxembourg City.

• Satellite Communication
• Artificial Intelligence
• Telecommunications
• +3 more

Haffay ABREHA is a Doctoral researcher at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), within the SigCom department. His research focuses on advanced networking technologies, including edge computing, satellite communications, and federated learning. He holds a strong interest in network virtualization, resource management, and optimizing mission-critical applications in distributed systems. Contact: haftay.abreha@uni.lu Research Interests: ABREHA’s work spans satellite edge networks, federated learning frameworks, fog computing monitoring, and resource-aware caching strategies. He explores how machine learning can enhance adaptive systems and improve network reliability in dynamic environments. Recent studies emphasize fairness-aware VNF scheduling, SDN/NFV integration, and optimizing content delivery in multi-layer satellite architectures. Labs/Teams: Active member of the SigCom research group at SnT, contributing to interdisciplinary projects on secure and reliable communication systems.

• Edge Computing
• Satellite Communications
• Network Virtualization
• +3 more