جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence
• Optimization Algorithms
• Machine Learning
• +۵ مورد دیگر

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.

Jose Luis SANCHEZ LOPEZمشاهده پروفایل

پژوهشگر

• Robotics
• Autonomous Systems
• Computer Vision
• +۵ مورد دیگر

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.

• Software Engineering
• Software Security
• Artificial Intelligence

Mike Papadakis is an Associate Professor at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), where he leads the SerVal research group. His research focuses on software engineering, software security, and artificial intelligence. He holds a PhD in Software Testing and Verification from Athens University of Economics and Business, with an MSc and BSc from the same institution. His research explores mutation testing, machine learning applications in software development, and test optimization. Recent publications demonstrate a strong emphasis on AI robustness, flaky test analysis, and automated debugging techniques. Notable achievements include the IEEE TCSE Rising Star Award (2020) and 12 additional research awards. He has published over 100 peer-reviewed articles and delivered more than 30 invited talks globally.

• Software Engineering
• Artificial Intelligence
• Machine Learning
• +۷ مورد دیگر

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.

• Model-Based Systems Engineering
• Software Development
• Aerospace Engineering
• +۴ مورد دیگر

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.

• Intelligent Distributed Systems
• Network Security
• Edge Computing
• +۱ مورد دیگر

Dr. Raphaël Frank is an Assistant Professor and Senior Research Scientist at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), where he leads the UBIX Research Group and directs the ATLAS IPBG Programme. With over 80 peer-reviewed publications, his research focuses on intelligent distributed systems, network security, and ubiquitous computing architectures. Dr. Frank serves on the University Council and actively participates in international scientific committees as a senior IEEE member. His professional experience includes co-founding Motion-S (the University of Luxembourg's first tech spin-off) where he served as Operations Director. He holds a Master's in Cryptography and Network Security from Université Joseph Fourier and a Ph.D. in Computer Science from University of Luxembourg, including research at UCLA.

• Wireless Communications
• 6G Networks
• Reconfigurable Intelligent Surfaces
• +۲ مورد دیگر

Symeon Chatzinotas is a Full Professor at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), leading research in Signal Processing and Communications. His work advances 6G networks, quantum communications, reconfigurable intelligent surfaces, and integrated satellite-terrestrial systems. Recent publications explore quantum MIMO channels, digital twins for 6G ecosystems, and STAR-RIS-enhanced satellite networks. Research shows strong emphasis on next-generation wireless technologies and cross-domain network integration.

Lars BEEXمشاهده پروفایل

پژوهشگر

• Computational Mechanics of Solids
• Bayesian Inference
• Multiscale Methods
• +۵ مورد دیگر

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)

• Software Engineering
• Dependable Systems
• Formal Methods
• +۴ مورد دیگر

Nicolas GUELFI is a Full Professor at the University of Luxembourg's Faculty of Science, Technology and Medicine (Department of Computer Science). He has been a faculty member since 1999, leading the Lassy laboratory for over a decade and co-founding the academic Bachelor in Computer Science program. His research focuses on software engineering, dependability, resiliency, formal methods, and AI-driven systems. He has coordinated over 60 staff members on international projects and contributed to standards like ERCIM's RISE and SERENE working groups. Education: PhD in Formal Methods (Paris XI, 1999) Teaching: Software Engineering across universities (Paris XI, EPFL, EPITA) since 1994 Roles: ERCIM Executive Committee member, Expert for Judicial Conformance Trials Research interests emphasize requirements engineering (MESSIR framework), resilient systems, and AI integration. He has pioneered tools like SEMKIS-DSL and MESAS for system specification. His work bridges academia and industry through DevOps education programs and standards analysis. Publications span formal verification, Petri nets, and model-driven engineering. He has advised on high-stakes litigation involving €0.1M–€100M projects, leveraging his expertise in system conformance.

• Probability Theory
• Mathematical Finance
• Stochastic Analysis
• +۴ مورد دیگر

Giovanni PECCATI is a Full Professor in Mathematics and Head of the Department of Mathematics (DMATH) at the University of Luxembourg’s Faculty of Science, Technology and Medicine. He leads the research group 'Revealing order in randomness' and serves as President of the Luxembourg Mathematical Society. Previously, he held positions at Sorbonne Université (1999–2008) as Assistant Professor and at Université Paris-Nanterre (2008–2010) as Full Professor before joining Luxembourg in 2010. His research focuses on probability theory, stochastic analysis, and mathematical finance, with particular expertise in Malliavin calculus, limit theorems, and random fields. Key contributions include studies on nodal sets of random waves, Poisson functionals, and Stein’s method applications. Prof. Peccati’s awards include the 2018 IMS Fellowship and the 2015 FNR Award for Outstanding Scientific Publication. His work bridges pure mathematics with applications in statistical mechanics and mathematical physics, emphasizing probabilistic structures in geometric and physical systems. He has authored over 100 publications, including the influential book *Wiener Chaos: Moments, Cumulants and Diagrams* (2011), and co-founded the *Stochastic Analysis for Poisson Point Processes* research program. His current projects explore phase transitions in stochastic systems and geometric properties of random fields.

• Non-Terrestrial Networks (NTN)
• 6G Communication Systems
• Satellite Communications
• +۵ مورد دیگر

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.

Stéphane BORDASمشاهده پروفایل

استاد

• Computational Mechanics
• Biomechanics
• Finite Element Methods
• +۶ مورد دیگر

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.

• Systems Biomedicine
• Neurodegenerative Diseases
• Computational Modelling
• +۶ مورد دیگر

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.

• Autonomous Driving
• V2X Communication
• Robotics
• +۳ مورد دیگر

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.

• Computational Biology
• Systems Biomedicine
• Machine Learning
• +۵ مورد دیگر

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.