Find Academic Supervisors

Yannick BARAUD is a Full Professor in Mathematics at the University of Luxembourg, leading the group 'Developing Contemporary Mathematical Statistics' within the Department of Mathematics. He holds the ERA-Chair 'SanDAL' in Mathematical Statistics and Data Science, funded by the European Commission. His research focuses on robust estimation, model selection, hypothesis testing, and nonparametric methods. He serves as the Study Programme Director for the Master in Data Science and has held academic positions at the University of Nice Sophia Antipolis and CNRS. His career includes roles as a researcher at École Normale Supérieure (Paris) and a lecturer at the same institution. He earned his PhD from Université Paris-Sud and studied at École Normale Supérieure de Cachan. His work emphasizes rigorous statistical methodologies, including rho-estimation and robust Bayes-like approaches. Notable contributions include advancements in density estimation under shape constraints and robust regression techniques. He has published extensively on topics such as loss functions, empirical processes, and statistical inference, with applications in epidemiology and data science. His leadership in the SanDAL initiative underscores his commitment to bridging mathematical statistics and practical data science challenges. Collaborations and grants further highlight his role in advancing interdisciplinary research.

• Mathematical Statistics
• Model Selection
• Robust Estimation
• +3 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

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

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

Ivan Nourdin is a Full Professor of Stochastic Modelling in the Department of Mathematics at the University of Luxembourg. He holds a PhD in Mathematics from Université de Lorraine (2004) and has held academic positions at Université Pierre et Marie Curie (2005–2010) and Université de Lorraine (2010–2014). His research focuses on probability theory, stochastic analysis, and their applications to statistics, geometry, and data science. He co-founded GrewIA, a startup focused on AI and mathematics education. **Research Interests**: Malliavin calculus, Stein’s method, functional inequalities, free probability, rough paths theory, inference for high-dimensional problems. He has authored/co-authored over 80 journal articles and two monographs, including the award-winning Normal Approximations with Malliavin Calculus (2012). **Awards**: 2015 FNR Award for Outstanding Scientific Publication, 2013 France Scopus Researcher Award, 2011 Fondation des Sciences Mathématiques de Paris Prize. **Advising & Teams**: Leads a research group including postdocs and PhD students. Former advisees include Simon Campese, Federico Dalmao, and Guangqu Zheng. His team explores topics like stochastic processes, limit theorems, and applications in AI. **Contact**: Office MNO E05 0515090, Maison du Nombre, University of Luxembourg. Phone: (+352) 46 66 44 6380. Email: ivan.nourdin@uni.lu.

• Probability Theory
• Stochastic Analysis
• Malliavin Calculus
• +6 more

Marie ABADIE is a doctoral researcher at the Department of Mathematics within the Faculty of Science, Technology and Medicine at the University of Luxembourg. Her work focuses on geometric group theory and dynamical systems, as evidenced by her recent publications. Research Interests: Marie's research spans geometric topology, algebraic structures in mapping class groups, and nonlinear dynamics. She investigates mathematical frameworks involving CAT(0) cube complexes and chaotic attractor topology. Publications: Her recent articles highlight trends in geometric group theory and chaos theory applications to partial differential equations.

• Mathematics
• Geometric Group Theory
• Dynamical Systems
• +1 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

Emil WEYDERT is a Researcher at the University of Luxembourg's Department of Computer Science within the Faculty of Science, Technology and Medicine. He has held roles including Senior Researcher at the Individual and Collective Reasoning Group (2008–present) and co-founded the Interdisciplinary Lab for Intelligent and Adaptive Systems (2004). His primary affiliations include: Research Scientist (current role) Maison du Nombre, 6 avenue de la Fonte, L-4364 Esch-sur-Alzette Education background includes: PhD in Mathematics, University of Bonn (1988) Postdoctoral Researcher at Stuttgart's Institute for Computational Linguistics (1988–1993) Researcher/Lecturer at Max Planck Institute for Computer Science (1993–2002) Core research focuses on: • Formal logic applications in AI • Nonmonotonic reasoning frameworks • Cognitive dynamics modeling • Argumentation semantics (SEMARG project) • Rational architecture design (RATARCH project) Lab affiliations include the Individual and Collective Reasoning Group and the Interdisciplinary Lab for Intelligent Systems. No specific awards or grants are explicitly listed in available texts.

• Theoretical Foundations of Artificial Intelligence
• Foundations of Mathematics (Set Theory)
• Logic and Knowledge Representation
• +5 more

Louis Chauvel is a Full Professor of Sociology at the University of Luxembourg, part of the Faculty of Humanities, Education and Social Sciences. He holds the FNR Luxembourg PEARL Chair and leads the Institute for Research on Socio-Economic Inequality (IRSEI). Previously, he was a Full Professor at Sciences Po (2005–2012) and an Honorary member of the Institut Universitaire de France (2003). His research focuses on social inequalities, public policies, social stratification, and advanced methodologies for population studies. He earned his Ph.D. from the University of Lille (1997) and his Habilitation from Sciences Po Paris (2003). Notable roles include former General Secretary of the European Sociological Association (2005–2007) and former Treasurer of the French Sociological Association (AFS, 2002–2006). Chauvel’s work emphasizes generational cohort analysis, wealth distribution, and the impacts of socio-economic changes on health and education. Key publications include Les Classes moyennes à la dérive (2006) and studies on global inequality dynamics. His methodology contributions, such as the Isograph tool, enhance comparative distributional analysis. He has held visiting positions at Columbia University (2011–2012) and Berkeley (2000). Awards include the IUF Honorary Membership. His interdisciplinary approach bridges sociology, economics, and public health, addressing urgent societal challenges like middle-class erosion and intergenerational mobility.

• Social Inequalities
• Public Policies
• Social Change
• +6 more

Anne FISCH is a Doctoral researcher at the Department of Mathematics within the Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg. Her primary affiliation is with the Maison du Nombre research unit located in Esch-sur-Alzette. While specific research interests are not explicitly listed, her work likely focuses on core mathematical disciplines such as algebra, analysis, or theoretical mathematics, given the department's focus areas. No publications or awards are detailed in the provided text. Her professional presence includes the address: Maison du Nombre, 6 avenue de la Fonte, L-4364 Esch-sur-Alzette, Luxembourg (office MNO E06 0625). Contact is available via anne.fisch@uni.lu.

• Mathematics
• Pure Mathematics
• Algebra
• +3 more

Pedro Cardoso Leite is an Associate Professor in Cognitive Science and Assessment at the University of Luxembourg's Faculty of Humanities, Education and Social Sciences, within the Department of Behavioural and Cognitive Sciences. His work focuses on cognitive control, educational assessment methodologies, and the application of machine learning in education. Research interests include cognitive science applications in healthcare (e.g., Friedreich ataxia clinical trials), game-based learning for collaboration skills, and the ethical challenges of remote proctoring systems. He has also contributed to frameworks like CogPonder and CogEnv, advancing computational models of cognitive processes. Publications highlight interdisciplinary approaches, such as combining neuroscience with education technology and analyzing media impacts on child development. His work bridges theory and practice, addressing real-world challenges like educational equity and AI-driven assessment systems.

• Cognitive Science
• Educational Assessment
• Neuroscience
• +5 more

Christian VINCENOT is an Associate Professor in Engineering at the University of Luxembourg's Faculty of Science, Technology and Medicine, based at the Maison du Nombre in Esch-sur-Alzette. His role focuses on Modelling and simulation of complex systems. He holds a campus office at MNO, E04 0445010 and can be contacted via (+352) 46 66 44 5279. His research interests center around complex systems analysis, systems engineering, and computational modeling applications. While no specific publications or grants are listed here, his work contributes to advancing methodologies for engineering systems design through advanced simulation techniques. No scientific awards or student advisement records are explicitly mentioned in the provided information.

• Modelling and simulation of complex systems
• Systems engineering
• Computational modeling
• +3 more

Reginald BURTON is an Assistant Professor at the University of Luxembourg, affiliated with the Faculty of Humanities, Education and Social Sciences and the Department of Education and Social Work. He holds roles as a national representative in ADMEE-Europe and contributes to research in educational methodologies. Education: Agrégé en mathématiques-physique from the Institut d’Enseignement Supérieur Pédagogique de Liège Licencié en sciences de l’éducation from the University of Liège DEA in Statistics and Applied Informatics from Gembloux Agricultural University Research Focus: Large-scale educational surveys, computer-assisted evaluation systems, Item Response Theory (IRT) modeling, and methodological advancements in education evaluation. His work bridges statistical methodologies with practical applications in educational assessment. Teaching: Teaches Item Response Theory, research methodologies, and statistics across undergraduate and graduate programs, including the Master's in 'Evaluation and Assessment' in Psychology and the Bachelor's in Psychology. Professional Experience: Researcher and lecturer at the University of Liège’s Service de Pédagogie Expérimentale (2001–2003) Consultant in statistics for Luxembourg ministries and the ISERP Contributed to the EMACS research unit’s projects on national/international educational surveys Awards/Grants: No specific honors or grants mentioned in the text. Labs/Teams: Active within the EMACS research unit at the University of Luxembourg.

• Educational Evaluation
• Item Response Theory
• Computer-Assisted Evaluation
• +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

Félix BARIL BOUDREAU is a postdoctoral researcher at the University of Luxembourg, affiliated with the Department of Mathematics within the Faculty of Science, Technology and Medicine. He specializes in number theory and algebraic geometry, with a focus on function fields, elliptic curves, and tropical geometry. His research spans both theoretical and computational domains, including projects on L-functions, Kummer theory, and adelic perturbations of rational functions. Recent work explores tropicalization techniques in algebraic geometry and arithmetic properties of elliptic curves over function fields. His publications on ORBilu reflect a strong emphasis on arithmetic invariants, reduction theory, and connections to non-Archimedean geometry. Earlier work (2012) highlights educational applications of Alloy for logic and discrete mathematics.

• Number Theory
• Algebraic Geometry
• Function Fields
• +3 more