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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

Dr. Jose Luis SANCHEZ LOPEZ is a Research Scientist at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) of the University of Luxembourg, leading the Aerial Robotics Lab (AeRoLab) within the Automation & Robotics Research Group (ARG). He joined SnT in 2017 as a Postdoc Research Associate, promoted to Research Scientist in 2021. His research focuses on autonomous robotics, particularly aerial systems, emphasizing situational awareness, SLAM, and trajectory planning. Education: Ph.D. in Robotics (2017), M.Sc. in Automation & Robotics (2012), and Engineering degree in Industrial Engineering (2010), all from the Technical University of Madrid. Visiting Research: Arizona State University (2012), LAAS-CNRS (2014–2016). Research Interests: Multi-agent robotic systems, sensor fusion, localization/mapping, computer vision, machine learning, and trajectory control. He has authored over 56 peer-reviewed publications, with an h-index of 18. Projects: Leads projects like DEUS (PI), NEDA, ÄerdFly (PI), and RoboSAUR. Contributions span European, Luxembourg, and Spain-funded initiatives, focusing on autonomous systems, 5G integration, and construction-site robotics. Teaching: Lectured in MICS, BiCS, BING (Uni.lu) and GITI (UPM). Actively involved in academic service as a reviewer, editor, and competition participant (e.g., IMAV, IARC). Outreach: National Coordinator for Luxembourg’s Robotics European Week, promotes robotics education in schools and public events.

• Robotics
• Autonomous Systems
• Computer Vision
• +5 more

Miguel Angel Olivares Mendez is an Associate Professor and Researcher at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) of the University of Luxembourg , where he leads mobile robotics research within the Automation & Robotics Research Group. He joined SnT in May 2013 as an Associate Researcher and was promoted to Research Scientist in December 2016. Education : Diploma in Computer Science Engineering (2006), University of Malaga M.Sc. in Robotics and Automation (2009), Technical University of Madrid Ph.D. in Robotics and Automation (2013), Technical University of Madrid His research focuses on unmanned aerial systems , computer vision , and robotics automation , with expertise in sensor fusion, vision-based control, and soft-computing techniques. He has supervised 7 research projects and published over 60 journal/book chapters and conference papers. Honors & Service : Best PhD Thesis Award (2013), European Society for Fuzzy Logic and Technology (EUSFLAT) Associate Editor, Journal of Intelligent & Robotic Systems (JINT) Reviewer Editor, Frontiers in Robotics and AI Organizing committee roles: BICS 2010 (Local Arrangement Chair), IEEE ETFA 2015 (Financial Chair) His work bridges theoretical and applied robotics, with active involvement in international academic conferencing and editorial leadership.

• Unmanned Aerial Systems
• Computer Vision
• Sensor Fusion
• +3 more

Konstantinos KANAVOURAS is a Doctoral Researcher at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) within the University of Luxembourg, specifically in the Space Systems Engineering research group (SpaSys). He is advised by Prof. Andreas Hein and focuses on model-based systems engineering, software development, and aerospace engineering applications in satellite systems. His research integrates agile methodologies and machine learning for spacecraft design and anomaly detection. Kanavouras holds a Master’s degree from Aristotle University of Thessaloniki (2021) and contributed as an avionics engineer to ESA’s AcubeSAT nanosatellite project under the Fly Your Satellite! program. His work emphasizes lightweight data management tools, PocketQube missions like POQUITO, and fractionated satellite systems for planetary observation. His publications highlight trends in small satellite development, including agile systems engineering practices, thermal anomaly detection via machine learning, and adapting space projects to remote collaboration (e.g., during the pandemic). Key projects include the University of Luxembourg’s first PocketQube mission (POQUITO) and lean approaches to spacecraft subsystems. Current affiliations include the SpaSys group at SnT, with a focus on interdisciplinary collaboration between systems engineering and software development. No scientific awards are listed, but his work aligns with cutting-edge space technologies and mission design.

• Model-Based Systems Engineering
• Software Development
• Aerospace Engineering
• +4 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

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

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

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

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

Dr. Carol Martinez Luna is a Research Scientist and Deputy Head of the Space Robotics group (SpaceR) at the SnT Interdisciplinary Centre, University of Luxembourg. She holds a PhD in Robotics and Automation from Universidad Politécnica de Madrid (2013) and previously served as an Assistant Professor at Pontificia Universidad Javeriana, Colombia. Her research spans Space Robotics , Computer Vision , and Machine Learning , with current focus areas including: Multi-purpose manipulation for planetary/orbital robots Perception systems for autonomous space operations Domain adaptation to bridge simulation-to-reality gaps On-ground testing of orbital technologies Recent publications (2022-2025) predominantly address space debris removal , autonomous grasping , and robotic perception , with heavy emphasis on machine learning techniques and high-fidelity simulation validation. Notable trends include generative models for manipulation and adaptive control under uncertainty. She actively advises 7 PhD students and 9 Master's candidates on topics ranging from space manipulation to vision-based safety systems. Her lab develops experimental platforms for orbital scenario emulation and collaborates on ESA-funded debris removal initiatives.

• Space Robotics
• Computer Vision
• Machine Learning
• +5 more

Baris Can YALCIN is a postdoctoral researcher at the Interdisciplinary Centre for Security, Reliability and Trust (SnT), University of Luxembourg , specializing in control theory and its applications in linear and non-linear control, adaptive control, estimator design, and filter design. He works within the Space Robotics (SpaceR) group under Prof. Miguel Angel Olivares Mendez. His research focuses on advancing control systems through adaptive methodologies and robust estimator/filter design, contributing to fields like space robotics and autonomous systems. His work bridges theoretical control frameworks with practical implementations.

• Control Theory
• Linear Control
• Non-Linear Control
• +3 more

Xiao LI is a Doctoral Researcher at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT) , affiliated with the Space Robotics department. She holds a Master’s degree from the Engineering School of the University of Caen Normandy (ESIX Normandie, France), awarded in 2020. Current research focuses on mechatronics and computer science Specializes in mathematical modelling, multibody analysis, and high-fidelity real-time in-orbit simulations Active member of the SpaceR research group led by Prof. Miguel Olivares Mendez Contact: xiao.li@uni.lu

• Mechatronics
• Computer Science
• Mathematical Modelling
• +3 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

Béatrice AREND is an Assistant Professor in the Department of Social Sciences at the University of Luxembourg’s Faculty of Humanities, Education and Social Sciences. She holds a PhD in Social Psychology from Université Nancy 2 and a DEA in Linguistics and French Literature from the University of Strasbourg. Prior to her academic career, she taught French Language and Literature in Luxemburgish secondary schools. Her research focuses on interactional processes in educational settings, employing Bakhtinian Dialogism and Conversation Analysis methodologies. She investigates how individuals construct shared understanding through communication, with a specific emphasis on teacher-student dynamics, problem-solving in mathematics, and second language learning in multilingual classrooms. Her work integrates video analysis of multimodal, embodied interaction, extending to interdisciplinary studies in human-robot interaction. Béatrice AREND is affiliated with the Maison des Sciences Humaines (MSH) in Esch-sur-Alzette, where her office is located. She contributes actively to Luxembourg’s academic community through teaching, research, and methodological innovation in interactional analysis.

• Social Psychology
• Conversation Analysis
• Educational Research
• +3 more