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Jorge GONCALVES is a Full Professor at the Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, and a Principal Research Associate at the University of Cambridge's Department of Plant Sciences. He holds expertise in computational biology, systems biomedicine, and machine learning applications in healthcare. His roles include leading research on gene regulatory networks, epidemic modeling, and deep brain stimulation technologies. Education: Licenciatura from University of Porto (1993), M.S. and Ph.D. from MIT (1995/2000). Postdoctoral work at MIT and Caltech, followed by academic positions at the University of Cambridge (Lecturer, Reader, Principal Research Associate). Visiting Professorships at the University of Luxembourg and Caltech. Research Interests : Dynamical systems modeling, network inference, biomedical applications of AI, and systems biology. His work spans drug repositioning, early warning signals for disease transitions, and multiomics analysis in immunology. Publications : Focused on interdisciplinary approaches combining machine learning with biological systems. Key themes include computational methods for gene network analysis, epidemic monitoring systems, and AI-driven medical diagnostics. Awards : Not explicitly listed in provided texts. Advising and grants: Extensive collaboration with institutions globally, including leadership in EU-funded projects and industry partnerships. Active in mentoring researchers across computational biology and engineering disciplines. Labs/Teams: Leads LCSB teams focused on systems biomedicine and AI-driven health solutions. Collaborates with the University of Cambridge on plant sciences and robotics initiatives.

• Computational Biology
• Systems Biomedicine
• Machine Learning
• +5 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

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

Seung Yeob SHIN is a Research Scientist at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg. He holds a PhD from the University of Massachusetts Amherst (2016), specializing in software engineering with a focus on system modeling and analysis through simulation and model checking frameworks. His work is centered at the Software Verification and Validation (V&V) Lab , led by Prof. Lionel Briand. Research Interests: Software Engineering Methodologies Cyber-Physical Systems Testing Real-Time Systems Analysis AI-Driven Testing Techniques Model Checking & Simulation Key Contributions: Pioneering work on fuzzing techniques for SDN controllers Development of probabilistic WCET estimation methods Advancements in metamorphic testing for CPS Control theory-based stress testing frameworks Publications: Over 30 peer-reviewed articles focusing on testing methodologies for real-time systems, cyber-physical systems, and quantum programming analysis. Recent trends emphasize AI integration in software validation and uncertainty-aware system design. Labs & Teams: Active member of the V&V Lab, collaborating on hardware-in-the-loop testing and embedded system validation projects.

• Software Engineering
• Cyber-Physical Systems
• Real-Time Systems
• +4 more

Valérie Schafer is a Full Professor in Contemporary European History and Deputy Director at the Luxembourg Centre for Contemporary and Digital History (C²DH) since March 2025. She previously served as Head of the Contemporary European History (EHI) research area (2020-2025) and co-organizer of the Master in European Contemporary History (2018-present). She leads multiple interdisciplinary research projects focused on digital history and heritage. Affiliated with ULIDE (University of Luxembourg Institute of Digital Ethics) General Secretary of the Society for the History of Media (SPHM) Member of the Management Committee for the 'Tensions of Europe' network Co-founder/editor of Internet Histories (Taylor & Francis) Her research explores digital history through techno-economic trajectories, with emphasis on: Historical praxeology of digitally networked media Media history of wireless technologies (e.g., Bluetooth standard) History of CD-ROMs and digital storage Online virality and born-digital heritage Web archives as cultural artifacts Current projects include: DIGMEDIA (2024-2028): Historical analysis of digitally networked media CD-Hist (2024-2026): Comprehensive history of CD-ROMs HIVI (2021-2024): History of online virality PoPKult (2021-2024): Cultural practices in digital history Warcnet: Comparative web archiving methodologies AWAC2: Collaborative web archive analysis She contributes to editorial and advisory roles for: Le Temps des Médias Cahiers François Viète Journal of Digital History IEEE Annals of the History of Computing Flux Scientific Board of Orange Group Afnic (French domain name management)

• History of computing
• History of telecommunications
• History of data networks
• +4 more

Marcella ASTRID is a Researcher at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), specifically within the CVI2 department. Her research focuses on advanced machine learning techniques applied to cybersecurity and computer vision challenges, particularly in the detection of synthetic media (deepfakes) and anomaly detection systems. She specializes in developing robust models that address vulnerabilities in adversarial scenarios and improve generalizability across diverse datasets. Key research areas include deepfake detection through spatio-temporal analysis, anomaly detection via novel training paradigms, and efficient neural network compression for resource-constrained environments. Her work bridges theoretical advancements in machine learning with practical applications in surveillance systems, autonomous robotics, and cybersecurity infrastructure. Recent contributions emphasize leveraging autoencoder weaknesses, pseudo anomaly generation, and localized attention mechanisms to enhance detection accuracy and model robustness. Marcella’s research also explores cross-modal learning (audio-visual synchronization) and semi-supervised methodologies to tackle data scarcity issues in critical domains like battery thermal imaging and multi-camera traffic classification. She actively publishes in top-tier venues and collaborates on interdisciplinary projects addressing real-world security and reliability challenges.

• Computer Vision
• Deep Learning
• Cybersecurity
• +3 more

Parisa PAYDAR is a Doctoral researcher at the Luxembourg Centre for Systems Biomedicine (LCSB) within the Enzymology & Metabolism group (Linster Lab) at the University of Luxembourg. She is affiliated with Biotech II located at 6, avenue du Swing, L-4367 Belvaux, Luxembourg. Her contact information includes the email parisa.paydar@uni.lu and telephone number (+352) 46 66 44 5457. Her research focuses on enzymology and metabolic pathways, contributing to systems biomedicine and biotechnology applications. As a PhD candidate, her work likely involves experimental and computational approaches to understand enzyme function and metabolic networks. No specific awards, grants, or publications are listed in the provided text. Her lab affiliation is part of LCSB's Enzymology & Metabolism group, which studies enzyme mechanisms and their roles in health and disease. Further details on her academic background, specific projects, or future work are not explicitly mentioned here.

• Enzymology
• Metabolism
• Biochemistry
• +2 more

Jean Botev is a Research Scientist and co-head of the Collaborative and Socio-Technical Systems (COaST) group at the University of Luxembourg's Faculty of Science, Technology and Medicine. He directs the VR/AR Lab, focusing on immersive technologies and human-centered design. His work bridges physical and digital realities through mediated reality approaches, emphasizing collaborative virtual environments and interaction techniques. Dr. Botev holds a PhD in Computer Science (2011, University of Luxembourg) and master's/bachelor's degrees from the University of Trier (Germany). He teaches courses in Virtual/Augmented Reality, Immersive Media, and programming disciplines across multiple university programs. His research spans 85+ peer-reviewed publications, with notable contributions to IEEE VR, ACM IVA, and TVCG. He leads €5M+ in grants, including the EU H2020 FET Open ChronoPilot project (€3M) exploring time perception modulation. Awards include the 2024 EuroXR Best Demonstration Award and multiple best paper recognitions. Botev actively engages in public outreach, organizing events like ACM SIGGRAPH Asia Demo Scene and promoting ethical design principles. His work integrates socio-technical systems, human factors, and interdisciplinary collaboration to advance immersive technology applications in education, cultural heritage, and healthcare.

• Mediated Reality
• Human-Computer Interaction
• Collaborative Socio-Technical Systems
• +3 more

Sviatlana HOEHN serves as a Postdoctoral Researcher at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) of the University of Luxembourg, where she is affiliated with the IRiSC research group. Her work is conducted from the Central Building (ABCD) at 6, rue Coudenhove-Kalergi in Luxembourg City, focusing on critical infrastructure within security and reliability domains. Her research spans high-impact areas including: Cybersecurity frameworks for critical systems Reliability engineering in distributed networks Trustworthy computing architectures Formal verification methods Security protocol analysis Resilience modeling for cyber-physical systems No scientific awards were documented in the available institutional profile. Information regarding student supervision, grant funding, or laboratory leadership remains unspecified in current public records. HOEHN contributes to SnT's mission of advancing interdisciplinary security research through her specialized work in the IRiSC group, which addresses emerging challenges in digital trust and system integrity.

• Cybersecurity
• Reliability Engineering
• Trustworthy Systems
• +3 more

Huiyun TANG is a Doctoral Researcher at the University of Luxembourg's Faculty of Humanities, Education and Social Sciences, within the Department of Behavioural and Cognitive Sciences. Their work focuses on addressing misinformation challenges in health communication, leveraging AI technologies and social media analysis. Current research spans prebunking interventions, credibility assessment frameworks, and gamified educational tools to enhance critical thinking. Notable research interests include AI ethics in health information systems, user perception dynamics on social platforms, and regulatory policies like the Digital Services Act. Their publications emphasize bridging gaps between technological solutions and user empowerment in combating misinformation. Publications highlight interdisciplinary approaches, combining behavioral science with computational methods. Research outcomes aim to inform both academic discourse and practical strategies for digital literacy initiatives.

• Health Communication
• Digital Media Studies
• Artificial Intelligence Applications
• +3 more

Carmen Lahr is a Doctoral researcher at the University of Luxembourg's Luxembourg Centre for Systems Biomedicine (LCSB), specifically within the Integrative Cell Signalling department. Her work focuses on systems-level analysis of cellular processes, leveraging interdisciplinary approaches combining molecular biology and computational methods. While her specific research interests are not explicitly detailed in the provided text, her affiliation with the Integrative Cell Signalling department suggests a focus on topics such as signal transduction pathways, cellular communication mechanisms, and systems-level modeling of biological processes. Her research likely intersects with areas like molecular biology, biotechnology, and medical research. Publications can be accessed via the ORBilu repository linked on her profile. No awards, grants, or advised students are explicitly listed in the current data. Her professional location is at Biotech II, 6 avenue du Swing, L-4367 Belvaux, Luxembourg, with contact details available via email and phone.

• Systems Biomedicine
• Cell Signaling
• Molecular Biology
• +3 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

Dr. Vittorio FRANZESE is a Research Scientist at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) within the University of Luxembourg's SPASYS department. His work focuses on CubeSat technology, autonomous space systems, and deep-space exploration. He leads projects like the POQUITO PocketQube mission and the LUMIO lunar CubeSat, aiming to advance miniaturized satellite capabilities for interplanetary navigation and meteoroid impact monitoring. Key research areas include spacecraft autonomy, optical navigation algorithms, and mission design for CubeSats. He has contributed to initiatives such as the ERC-funded EXTREMA project, developing self-driving interplanetary CubeSats. His technical expertise spans satellite systems engineering, trajectory optimization, and sensor development for space applications. Publications highlight advancements in laser communication terminals, asteroid mission analysis, and swarm satellite technologies. Collaborative efforts include the Hera Milani CubeSat mission for asteroid exploration. His work bridges theoretical research with practical implementation, emphasizing innovation in low-cost space technologies.

• Spacecraft Design
• Aerospace Engineering
• Astrodynamics
• +4 more

Jennifer DUSDAL is a Research Scientist at the Department of Social Sciences, Faculty of Humanities, Education and Social Sciences, University of Luxembourg. She is the elected Head of the Institute of Education & Society and a board member of the Department of Social Sciences. She is also an associated Senior Postdoctoral Research Fellow at the Leibniz Center for Science and Society (LCSS), Leibniz University of Hannover, with research experience in the USA and Germany. Her research focuses on the sociology of science, higher education and science systems, science production, and international collaboration networks. She uniquely combines theories from sociology of science, bibliometric indicators, and big data analytics—including data mining and network analysis—to investigate how scientific breakthroughs emerge and diffuse. Her work supports policy-relevant, interdisciplinary research across faculties and institutions. She is actively involved in leading and contributing to major research initiatives, including the SEEDS project (Lead-PI), Q-KNOW (Co-PI), T-PATHS (external partner), and a Horizon Europe COST Action on the future of European higher education and research. She supervises doctoral candidates and is associated with the Doctoral Training Unit on Data-Driven Computational Modelling and the Doctoral School in Humanities and Social Sciences. She is Vice-Program Director of the M.A. in Social Sciences and Educational Sciences and a steering committee member of the Scienteens Lab. Her scientific excellence was recognized with the Ulrich-Teichler-Prize in 2018 for her doctoral dissertation. She is a founding member and treasurer of the Luxembourg Educational Research Association and organizes the lecture series “Science of Science in the Spotlight” since 2020 to promote interdisciplinary dialogue and public engagement. Ulrich-Teichler-Prize for Outstanding Dissertations 2018 Jennifer DUSDAL advises doctoral candidates and contributes to research training through her roles in doctoral schools and training units. She has secured and led interdisciplinary grants such as the SEEDS project and participated in international collaborative grants including Q-KNOW and T-PATHS. Her leadership extends to science policy engagement through the LCSS and national representation in EU research networks. She has served on scholarship selection and accreditation committees, and advocated for junior scholars in institutional governance. She is involved in several research teams and networks: the Institute of Education & Society (leadership), the interdisciplinary SEEDS project team, the Scienteens Lab steering committee, the Horizon Europe COST Action Management Committee, and the Working Group on Science Studies “Science and Higher Education”. These groups facilitate interdisciplinary, cross-institutional, and international collaboration in science of science research.

• Sociology of Science
• Higher Education Systems
• Science Studies
• +12 more