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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

Prof. Leon van der Torre is a full professor of computer science at the University of Luxembourg, affiliated with the Lab for Intelligent and Adaptive Systems (ILIAS). He specializes in formal models of reasoning and interaction in intelligent systems, with research spanning deontic logic, argumentation theory, cognitive robotics, and compliance technologies. He was granted the Bao Yugang Chair Professorship at Zhejiang University (2023) and has held visiting positions, including at Stanford University's CSLI (2013). His research focuses on integrating logical formalisms with computational systems to address normative reasoning, multiagent coordination, and ethical AI. Key contributions include work on argumentation frameworks, deontic logic applications, and formal models of normative systems. He teaches courses such as 'Introduction to Intelligent Systems' and 'Game Theory', reflecting his expertise in AI and computational reasoning. Prof. van der Torre actively participates in international conferences (e.g., DEON, PRIMA) and has authored over 400 publications. His work bridges theoretical foundations with practical applications, addressing challenges in AI ethics, legal reasoning, and multiagent systems coordination.

• Deontic Logic
• Artificial Intelligence
• Cognitive Robotics
• +4 more

Lars BEEX is a Senior Research Scientist at the University of Luxembourg's Faculty of Science, Technology and Medicine, Department of Engineering. He holds the right to supervise PhD students and has directed five to completion. His research focuses on computational mechanics of solids, including Bayesian inference, multiscale methods, and quasicontinuum approaches, with applications to materials like textiles, foams, and medical devices. His academic journey includes a PhD from Eindhoven University of Technology (2008-2012), supervised by Marc Geers and Ron Peerlings, as well as MSc and BSc degrees from the same institution. **Research Interests:** - Computational mechanics of solids - Bayesian inference and uncertainty quantification - Multiscale modeling (quasicontinuum method) - Mechanical modeling of fibrous and discrete materials - Phase-field damage models - Contact mechanics and elastoplasticity **Awards:** - Biezeno Solid Mechanics Award 2013 (Best PhD thesis in solid mechanics, Netherlands) - Cum laude distinction for both MSc and BSc degrees **Industrial Collaborations:** - SISTO Armaturen - IEE - Kiswire International **Teaching:** - Numerical methods for continuous optimization - Courses for Computer Science, Mathematical Modelling, and Engineering students **Lab/Affiliations:** - Legato Team (part of the University of Luxembourg's engineering research cluster)

• Computational Mechanics of Solids
• Bayesian Inference
• Multiscale Methods
• +5 more

Stéphane BORDAS is a Full Professor in Computational Mechanics at the University of Luxembourg's Faculty of Science, Technology and Medicine (FSTM), leading the Computational Mechanics (Legato) research group. His work focuses on free boundary problems, method development for complex geometries, and applications in fracture mechanics, biomechanics, and computational engineering. He previously held roles at Cardiff University and the Swiss Federal Institute of Technology in Lausanne (EPFL). His research integrates computational methods like XFEM, isogeometric analysis, and meshfree techniques to address challenges in engineering and medicine. Education: Ph.D. in Theoretical and Applied Mechanics, Northwestern University (2003) M.Sc. in Civil Engineering, École Spéciale des Travaux Publics and Northwestern University (1999) Research Interests: Computational Mechanics, Biomechanics, Finite Element Methods, Fracture Mechanics, High-Performance Computing, Isogeometric Analysis. Grants & Projects: ERC Starting Grant (RealTCut) for surgical simulation and material cutting FP7 ITN INSIST for meshless methods Labs/Teams: Computational Mechanics (Legato) Group at the University of Luxembourg. His work bridges academia and industry, with applications in aerospace, biomedical engineering, and materials science. He is active in open-source software development, including codes for XFEM, isogeometric analysis, and meshfree methods.

• Computational Mechanics
• Biomechanics
• Finite Element Methods
• +6 more

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

Benoît ALCARAZ is a Researcher affiliated with the Department of Computer Science at the University of Luxembourg's Faculty of Science, Technology and Medicine (FSTM). His work focuses on advancing artificial intelligence and machine learning, particularly in ethical AI frameworks, argumentation systems, and natural language processing. He is based at the Maison du Nombre research facility in Esch-sur-Alzette. Research Interests include developing algorithms for ethical decision-making in AI, optimizing machine learning models through evolutionary techniques, and creating user-centric NLP tools for real-time applications. His work bridges theoretical computer science with practical ethical considerations, as seen in his exploration of bias mitigation in visual learning and argumentation-based reinforcement learning agents. Notable contributions include frameworks like Ajar for ethical reinforcement learning and IRRMA for image-based meeting assistants. While no explicit awards or grants are listed, his publications indicate active involvement in interdisciplinary AI research with a focus on societal impact.

• Artificial Intelligence
• Machine Learning
• Argumentation Theory
• +3 more

Luis A. Leiva is an Assistant Professor in the Department of Computer Science at the University of Luxembourg’s Faculty of Science, Technology and Medicine. He leads the Computational Interaction research group and serves as director of the Interdisciplinary Lab for Intelligent and Adaptive Systems (ILIAS). His academic background includes a PhD in Computer Science (with honors), an MAS in Pattern Recognition and Artificial Intelligence, an MSc in Electrical Engineering, and dual BSc degrees in Industrial Design and Industrial Engineering, all from the Universitat Politècnica de València (UPV). His research lies at the intersection of Human-Computer Interaction (HCI) and Machine Learning , with a focus on computational interaction . He investigates methods to enable, explain, and support user interaction through computational models and data-driven techniques. His key areas include implicit interaction —leveraging behavioral signals such as mouse movements and gaze—and synthetic data generation , particularly using kinematic models to simulate human-like gestures. His work has contributed to usability evaluation, user engagement prediction, adaptive interfaces, and stroke gesture modeling. His recent publications span top-tier journals and conferences such as ACM Transactions on Computer-Human Interaction (TOCHI) , IEEE Transactions , CHI , IUI , and SIGIR . The research trends reflect a strong emphasis on multimodal interaction, affective computing, brain-computer interfaces, and deep learning applications in user interface modeling and personalization. Best paper award at IUI'25 Marie Skłodowska-Curie Actions (MSCA) Seal of Excellence (2019) Extraordinary PhD thesis award (2014) Outstanding Reviewer Recognition at CHI, ICMI, MobileHCI, and UIST Quality Teaching Awards finalist at Aalto University (2020) Luis A. Leiva has advised numerous MSc and BSc students at the University of Luxembourg and Aalto University and has secured significant research funding as PI or co-PI for projects such as SYMBIOTIK (EIC), SCRIPTOR (FNR), BANANA (CHIST-ERA), and SAMUSE (Audacity). He is an Associate Editor for the International Journal of Human-Computer Studies and Machine Learning with Applications , and actively serves on the program committees of major HCI and AI conferences. He is also a co-founder and former CTO of Sciling, an SME specializing in machine learning solutions, and has held postdoctoral positions at Aalto University and the PRHLT Research Center (UPV). He leads the Computational Interaction research group and the ILIAS lab, both dedicated to advancing intelligent, adaptive, and user-centered computing systems through interdisciplinary research combining machine learning, cognitive science, and interactive technologies.

• Human-Computer Interaction
• Machine Learning
• Computational Interaction
• +12 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

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

Gilbert BUSANA is a Senior Lecturer at the University of Luxembourg, affiliated with the Department of Education and Social Work within the Faculty of Humanities, Education and Social Sciences. His work focuses on enhancing educational practices through technology integration, teacher training, and equitable STEAM education. He is based at the Maison du Savoir in Esch-sur-Alzette, Luxembourg. Research interests center on leveraging digital tools for pedagogical innovation, such as project-based learning, flipped classrooms, and digital game creation in education. He actively investigates factors influencing technology adoption by educators, diversity in classrooms, and the impact of crises on educational practices. Notable projects include the PIAF initiative for algorithmic thinking and the TAO platform for computer-based assessment. His publications span topics like teacher training methodologies, online learning dynamics, and Luxembourg’s educational policies. He has contributed to national surveys on technology use in schools and developed innovative tools like the Create Digital Games platform. His work emphasizes bridging educational equity gaps through strategic ICT use and fostering holistic student well-being through active learning strategies. BUSANA collaborates on interdisciplinary projects addressing systemic challenges in education, such as admissions trends in teacher education programs and internships during crises. His research often highlights Luxembourg’s unique multilingual and multicultural context, advocating for policies that promote inclusivity and excellence in education.

• Educational Technology
• Teacher Education
• ICT Integration in Education
• +4 more

Diego Andrés BLANCO MORA is a Postdoctoral Researcher at the University of Luxembourg's Luxembourg Centre for Systems Biomedicine (LCSB), specializing in the AI Modelling and Prediction department. His work focuses on interdisciplinary research at the intersection of neuroscience, neurorehabilitation, and technology. Key areas include motor control, brain-computer interfaces (BCI), and applications of virtual reality (VR) in healthcare, particularly for stroke rehabilitation. He also explores urban neuroscience, investigating how brain activity relates to urban environments and public health. Diego's research combines advanced neuroimaging techniques like fMRI and EEG with innovative technologies such as tACS, tDCS, and VR-BCI systems. His recent studies highlight causal roles of beta-band oscillations in motor control, long-term VR-BCI training outcomes in stroke patients, and the predictive power of brain imaging for urban behavior. He has also contributed to developing urban stimulus datasets derived from social media and ethical considerations in pain detection for non-communicative patients. His publications reflect a strong emphasis on translational research, aiming to bridge fundamental neuroscience discoveries with clinical and urban applications. Diego collaborates across disciplines, engaging in projects that address neurorehabilitation challenges and the neuroscientific underpinnings of urban design.

• Neuroscience
• Neurorehabilitation
• Brain-Computer Interfaces (BCI)
• +7 more

Andreia COSTA is a Researcher at the University of Luxembourg, affiliated with the Faculty of Humanities, Education and Social Sciences and the Department of Behavioural and Cognitive Sciences. She holds a Master’s in Experimental Psychology from the University of Minho (Portugal) and a PhD from the University of Luxembourg, focusing on emotional reactivity in children with ASD under Prof. Georges Steffgen’s supervision. Her research emphasizes understanding emotional difficulties in ASD, including alexithymia and family dynamics, alongside interventions and multilingualism impacts on academic success. Current projects include the Luxembourg National Research Fund-backed 'Academic Success in Autism: The Impact of Emotions and Multilingualism' (ASA) and 'The Situation of Autism in Luxembourg' (SAUL). She collaborates with local institutions to improve care for ASD individuals and their families. Notable contributions include exploring robotics in therapy for children with ASD and analyzing parental psychological wellbeing across neurodiverse conditions. Andreia has received a significant grant (€397,000) for her work on multilingualism and ASD. Her publications span emotional regulation in ASD, robotic interventions, and parental stress factors. She actively contributes to autism-related policy and clinical guidelines in Luxembourg.

• Autism Spectrum Disorder
• Emotional Regulation
• Developmental Psychology
• +3 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

Anastasia SERGEEVA is a Postdoctoral researcher at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), specifically within the Interdisciplinary Research Institute in Security and Cryptology (IRiSC). Her work focuses on cybersecurity, AI ethics, and human-computer interaction, with particular attention to deceptive design patterns, misinformation detection, and user behavior in digital environments. She is affiliated with the Maison Sciences Humaines in Esch-sur-Alzette. Her research integrates transdisciplinary perspectives, addressing topics such as dark patterns in e-commerce, extended reality (XR) ethical challenges in industrial settings, and the psychological dimensions of cybersecurity education. She actively contributes to projects involving AI-driven solutions for transparency in deceptive pattern detection and prebunking strategies to combat misinformation. Recent publications highlight her exploration of cognitive interventions for critical thinking, the impact of voice fidelity on decision-making, and the ethical implications of AI models in code generation. Her work bridges technical and social sciences, emphasizing user-centric design and policy implications for digital environments.

• Cybersecurity
• AI Ethics
• Human-Computer Interaction (HCI)
• +6 more

Caesar Wu is a Researcher at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT) within the PCOG department. His work focuses on trustworthy AI, distributed learning systems, machine learning optimization, and strategic decision-making frameworks. He holds a Postdoctoral researcher position and contributes to advancing methodologies in data-centric AI, transformer models, and cybersecurity. Research interests include: - Trustworthy AI : Developing robust frameworks for explainability, fairness, and algorithmic transparency. - Distributed Systems : Optimizing communication and fault tolerance in distributed machine learning. - Time Series Forecasting : Hyperparameter tuning and transformer-based predictive models. - Financial Applications : Strategic decision-making in credit risk assessments using ML. Recent publications (2023-2025) emphasize: Trustworthiness metrics for stochastic gradient descent in distributed environments Unified hyperparameter optimization pipelines for transformer models Survey analysis of data-centric AI in time series forecasting Ethical considerations in AI-driven strategic decisions No scientific awards were explicitly mentioned in the provided texts. Current role involves no formal advisees, but contributes to interdisciplinary research teams within SnT. His work integrates machine learning with cloud computing principles, reflecting expertise in both theoretical and applied domains.

• Artificial Intelligence
• Machine Learning
• Distributed Systems
• +3 more