Dr. Katarzyna Bobrowicz is a Postdoctoral Researcher at the University of Luxembourg's Department of Behavioural and Cognitive Sciences. Her research examines cognitive development in early childhood, spatial cognition, problem-solving skills, and lifelong learning processes. Recent publications investigate educational relevance in information landscapes, 21st-century skill development, and cognitive processes in young children. Her work demonstrates the impact of play-based interventions on mental rotation abilities and the relationship between visuospatial memory and search strategies in preschoolers.
Yves KREIS is an Assistant Professor in the Department of Education and Social Work at the University of Luxembourg , affiliated with the Faculty of Humanities, Education and Social Sciences . He also serves as Deputy Head of the Institute for Teaching and Learning . His work focuses on STEAM education , mathematics teacher training , and technology-enhanced learning , particularly in primary and secondary education contexts. His research explores innovative pedagogical approaches like maker education , outdoor learning trails , and the integration of tools like GeoGebra and augmented reality into curricula. Research Interests: STEAM integration in K-12 education Mathematics teacher professional development EdTech applications in remote and hybrid learning Outdoor mathematical modeling Supporting students with learning disabilities through digital tools Publications Overview: His 15 most recent articles (2020–2024) emphasize technology integration (e.g., GeoGebra, AR), interdisciplinary STEAM frameworks , and pedagogical adaptation during crises like the pandemic. Key trends include outdoor learning innovations and teacher training methodologies. Grants & Collaborations: Involved in EU-funded projects like Intergeo and initiatives promoting multilingual digital learning environments (e.g., MathemaTIC platform). Active in professional development networks for educators. Labs/Teams: Leads projects within the Institute for Teaching and Learning , collaborating with institutions on STEAM trails and AR applications in Luxembourgish schools.
Assoc. Prof Joëlle Vlassis is an Associate Professor at the University of Luxembourg's Faculty of Humanities, Education and Social Sciences, Department of Education and Social Work. Her research focuses on mathematics education, particularly early numeracy development, algebraic thinking, and socio-cultural factors influencing learning. She emphasizes problem-based approaches, teacher beliefs, and multilingual education challenges in Luxembourg. Her work explores the role of games in fostering numerical skills and strengthening school-family collaboration. Notable projects include the MathPlay initiative to enhance early math learning through play. She also investigates teacher-student interactions, the conceptual understanding of negative numbers, and the impact of socio-economic contexts on mathematical achievement. Publications highlight her contributions to educational assessment, professional development programs for teachers, and interventions targeting numeracy gaps. Her research bridges theory and practice, aiming to improve teaching methodologies and student outcomes in diverse educational settings.
Jack HALE is a Research Scientist at the University of Luxembourg's Faculty of Science, Technology and Medicine (FSTM), Department of Engineering. He joined Prof. Stéphane Bordas' team in 2013, focusing on computational mechanics and numerical methods. His work integrates advanced techniques like meshfree methods, XFEM, and isogeometric analysis to address challenges in solid mechanics and high-performance computing. Education : PhD in Aeronautics, Imperial College London (2009-2013), supervised by Dr. Pedro M. Baiz Villafranca. MEng in Engineering, University of Bristol (2004-2008). Research exchange at Rice University (2006-2007) on cross-flow filtration processes. Research Interests : Implicit boundary methods for medical image-based simulations. Development of scalable meshfree/XFEM/isogeometric analysis frameworks. Mixed variational methods to resolve locking phenomena in solid mechanics. High-performance computing for distributed parallel systems. Publications & Software : His 50+ publications emphasize open-access research via ORBilu, with a focus on FEniCSx-based tools (e.g., DOLFINx, FEniCS-shells). Recent work addresses Bayesian model selection, melt instability identification, and SAR data assimilation in aquifer modeling. Collaborations : Open to academic/industrial partnerships in computational mechanics, material science, and biomedical engineering.
Jorge Augusto Meira is a Research Scientist at the University of Luxembourg's Interdisciplinary Centre for Security, Reliability and Trust (SnT), specifically within the Services and Data Management research group (SEDAN). He holds a PhD in Computer Science from the University of Luxembourg (2014) and has 15+ years of experience spanning industry and academic research roles including software development, system analysis, data science, project management, and principal investigator positions. His research focuses on machine learning applications in anomaly detection (e.g., anti-money laundering), big data analytics, recommendation systems, and database optimization. Notable areas include cybersecurity for blockchain networks, insurance risk modeling using Hawkes processes, and energy-efficient database architectures. Publications span topics like vehicle routing optimization, natural disaster prediction models, and privacy-preserving data systems. He has contributed to both theoretical advancements and practical implementations in areas like smart grid monitoring and aviation predictive maintenance. His work frequently bridges AI techniques with real-world infrastructure challenges across transportation, finance, and healthcare sectors. Led by Prof. Radu State, the SEDAN group focuses on service-oriented architectures and data management innovations. While no formal awards are listed, his extensive publication record reflects sustained contributions to interdisciplinary tech research.
