Find Academic Supervisors

• Mathematics Education
• Intercultural Learning
• Teacher Training
• +6 more

Monica Wijers is an Assistant Professor at the Faculty of Science , Utrecht University , specializing in Mathematics Education at the Freudenthal Institute. Her work focuses on intercultural learning, teacher professionalization, and innovative curriculum design for mathematics in secondary and vocational education. Positions: Assistant Professor, Graduate School of Teaching (GST) instructor Key projects: Wiskunde A-lympiade, RekenGroen modules, intercultural learning frameworks Contact: m.wijers@uu.nl , +31 6 81 835 971 Research Interests Monica integrates mathematics education with: Intercultural Competency Development Language-Integrated Mathematical Tasks Game-Based Learning Tools (RekenGroen, WiTje) Assessment Design for Collaborative Learning Professional Development for STEM Educators Curriculum Innovation for Vocational Education Publications Trends (2020-2023) Her recent work emphasizes collaborative problem-solving in mathematics through: Intercultural classroom activities Environmental sustainability contexts (waste management, urban heat) Language development in mathematical reasoning Team-based competitions (Wiskunde B-dag) Curriculum design for vocational mathematics Formative assessment strategies in MBO Teaching Activities Monica contributes to: Graduate School of Teaching programs National Mathematics Days (Nationale Rekendagen) Sprachbildung für das Mathematiklernen (Germany-Netherlands collaboration) Leveraging ratio tables across science disciplines

• Mathematics Education
• Geometry
• Algebra
• +3 more

Martin Kindt is a Lecturer in Mathematics Education at the Freudenthal Institute, Faculty of Science, Utrecht University. He has maintained an active presence in mathematics education research and practice since at least 2001, with particular focus on geometry, algebra, and historical perspectives in mathematics teaching. His research interests include: Geometry and spatial reasoning, particularly symmetry and regularity in plane and space Algebraic thinking and conceptual understanding pathways History of mathematics and its application to modern educational practices Integration of geometry and algebra in teaching frameworks Real-world mathematical applications, especially in engineering contexts Curriculum development for secondary mathematics education Kindt's scholarly work demonstrates a distinctive approach that connects historical mathematical developments with contemporary educational challenges. His presentations on figures like Albrecht Dürer and ancient systems like Babylonian mathematics reveal a consistent theme of using historical context to illuminate modern teaching practices. The progression of his work shows increasing sophistication in connecting geometric visualization with algebraic structures, as evidenced by titles like 'Geometry and Algebra, a Happy Marriage' and 'Regularity in Plane and Space.' His international engagement is notable, with presentations delivered across multiple continents including Asia, South America, and Europe. This global perspective informs his contributions to the field of mathematics education, particularly through the lens of Realistic Mathematics Education, which originated in the Netherlands.

• Interdisciplinary Education
• Learning Analytics
• Generative AI
• +6 more

Dr. Rianne van Lambalgen is an Associate Professor at the Utrecht University School of Liberal Arts , where she also serves as Director of Education . Her interdisciplinary expertise bridges Cognitive Psychology , Artificial Intelligence , and Higher Education Research , focusing on digital tools for interdisciplinary learning. Key research areas include: Human-centered AI applications in education Learning analytics for knowledge construction Generative AI in teaching contexts Blended learning environments Epistemic fluency in undergraduate research Major funded projects include: NWO Comenius Teaching Fellow grant (2023) EMP grants for educational innovation (2024, 2021) Julie Johnson Kidd Fellowship for interdisciplinary research (2018) She co-developed the Obsidian smart notes system for connective thinking and leads UU's Humanities Task Force on Generative AI , while serving as a SoTL advocate across university disciplines.

Fred W. WubsView profile

Associate Professor

• Numerical Mathematics
• Finite Element Analysis
• Bifurcation Analysis
• +5 more

Dr. ir. Fred W. Wubs is an Associate Professor of Numerical Mathematics at the University of Groningen's Faculty of Science and Engineering, specifically within the Bernoulli Institute for Mathematics and Computer Science. His research spans multiple disciplines connecting applied mathematics with real-world applications in biomechanics and climate science. Based at the Bernoulliborg (room 451) in Groningen, Netherlands, he maintains active research collaborations across engineering, medical, and environmental fields. Wubs' research interests focus on numerical methods development and application, with particular expertise in finite element analysis, bifurcation theory, and computational modeling of complex systems. His work bridges theoretical mathematics with practical applications, spanning from biomechanical analysis of mandibular fractures to ocean circulation modeling and climate system dynamics. His fingerprint analysis reveals strong contributions in matrix mathematics (100%), bifurcation analysis (81%), time-stepping methods (58%), factorization techniques (58%), and Jacobian matrix applications (52%). His publication record shows a clear dual trajectory: one stream applying numerical methods to biomedical problems (particularly mandible fracture mechanics and orthopedic implant design), and another focused on climate and ocean modeling (including ocean circulation, ice sheet dynamics, and Earth system modeling). This interdisciplinary approach demonstrates how fundamental numerical mathematics can address diverse challenges across seemingly unrelated fields. Wubs has supervised 5 research projects as indicated by his academic profile, though specific student names aren't provided in the available information. His work has been cited extensively, with some publications receiving over 25 citations in Scopus. His research appears in high-impact journals including Scientific Reports, Journal of Advances in Modeling Earth Systems, and Journal of Computational Physics. He maintains active laboratory work in numerical simulation, with recent publications indicating ongoing projects in biomechanical testing validation using 3D printed models and advanced computational techniques for ocean and climate modeling. His work on physics-controlled echo state networks represents an innovative integration of machine learning with traditional numerical methods.

• Clinical Reasoning
• Diagnostic Accuracy
• Medical Education
• +3 more

Silvia Mamede is a Visiting Professor at the Erasmus School of Social and Behavioural Sciences, Department of Educational Sciences, Erasmus University Rotterdam. With over 113 research outputs and active in clinical reasoning and medical education since the early 2000s, she has contributed extensively to understanding diagnostic accuracy, problem-based learning, and cognitive psychology. Research Interests Clinical reasoning and decision-making Medical education pedagogy Problem-based learning dynamics Cognitive biases in diagnosis Contextual influences on reasoning Human-AI diagnostic comparisons Recent Publications Her recent work (2024-2025) focuses on eye-tracking diagnostics, ChatGPT's diagnostic sensitivity, time constraints in clinical reasoning, and tutor impacts on PBL engagement. Awards Guest Professor (2018) AERA Outstanding Research Publication Award (2010)

• Strategy
• Technology Entrepreneurship
• Sustainable Product Innovation
• +3 more

Annelies Bobelyn is an Assistant Professor at the Department of Industrial Engineering and Innovation Sciences at Eindhoven University of Technology (TU/e). Her work bridges strategy, technology entrepreneurship, and sustainable innovation, with a focus on young technology-based firms, entrepreneurial exit, and organizational learning for sustainability. Expertise : Strategic management of startups, sustainable product innovation, technology transfer Collaborations : 4TU educational innovator (TU/e, Delft, Twente, Wageningen) Research Interests : Annelies explores how organizational control and learning theories can enhance sustainable innovation projects. Her recent work includes designing tools to align deep-tech ventures with UN SDGs, improving commercial viability through problem exploration in healthcare innovation contests, and analyzing power dynamics as an enabling force in organizations. Scientific Awards : Best Paper Award, ESU European University Network on Entrepreneurship Conference (2021) Loosening Control Without Losing It. Learning to Speak Up in a Military Organization (2020) Grants & Collaborations : Marie Curie Fellowship (post-doc), 4TU educational innovator role, and contributions to deep-tech venture builders addressing grand challenges.

Yaoxin WuView profile

Assistant Professor

• Deep Learning
• Combinatorial Optimization
• Integer Programming
• +5 more

Yaoxin Wu is an Assistant Professor at the Eindhoven University of Technology, affiliated with the Department of Industrial Engineering and Innovation Sciences. His research bridges deep learning and combinatorial optimization to solve complex problems in transportation, scheduling, and network design. Education : PhD in Computer Science from Nanyang Technological University (2023). Wu specializes in artificial intelligence and operations research , focusing on graph neural networks, stochastic programming, and multi-objective optimization. His work has significant applications in UAV routing and on-demand delivery systems. His 2025 publications highlight trends in neural combinatorial optimization for stochastic job shop scheduling, ride-hailing, and drone logistics. Key subfields include deep reinforcement learning, preference modeling, and topological graph learning. He has supervised 9 students, including PhD candidates Xia Jiang and Igor Smite, and Master’s students like Venkata Roshan Mannepu and Floor Halkes. Wu's research is funded by projects like LEO (Holland High Tech | TKI HSTM) and SURF Cooperative grants. His educational activities include teaching Fundamentals of Algorithmic Programming and AI-Driven Business Operations , emphasizing data-driven methods for manufacturing processes.

• Science Education
• Computing Education
• Scientific Literacy
• +4 more

Erik Barendsen serves as Professor of Science Education at Radboud University and Professor of Computing Education at the Open University of the Netherlands, directing the Institute for Science Education Office while chairing the Subject Didactics and Educational Development group. His work integrates research with practical STEM education development across Dutch institutions. His research prioritizes: Science and computing education frameworks Scientific and digital literacy advancement Context-based STEM pedagogy Computational thinking curriculum integration Teachers' pedagogical content knowledge (PCK) development Recent publications analyze digital problem-solving strategies, programming difficulties for novices, and computational thinking in mathematics through qualitative methodologies. This body of work consistently informs teacher training and curriculum design across European educational contexts. Barendsen actively supervises bachelor's and master's theses in biology, computing science, and physics programs while advising national educational policy. His leadership at the Institute for Science Education drives collaborative projects with schools to implement evidence-based teaching practices and digital literacy initiatives.

Leentje VolkerView profile

Professor

• Construction Management
• Asset Management
• Public Procurement
• +7 more

Leentje Volker is a Full Professor (formal rank: Professor ) at Delft University of Technology specializing in Integrated Project Delivery. With a PhD in Design and Construction Management (2005-2010) and a Master in Applied Innovation Sciences from Eindhoven University of Technology (1996-2002), her career bridges engineering and social sciences. Education: PhD in Design & Construction Management (Delft, 2010), Master in Applied Innovation Sciences (Eindhoven, 2002) Her research focuses on innovation ecosystems , circular economy , and public procurement in infrastructure and construction contexts. She examines multidimensional value creation, institutional plurality, and digital transformation through serious games and empirical case studies. Key research trends include sustainability transitions in infrastructure, value tensions in collaborative innovation, and institutional barriers to circular economy adoption. Her work combines qualitative comparative analysis with fieldlab experiments. Scientific awards: ACROM Best Paper (2021), ARCOM Peter Townsend Award (2023), David Langford Award (2024), Les Plumes Des Achets (2023), Public Procurement (2023), Nevi Scriptieprijs (2024) Active in interorganizational governance and project-based learning , she serves on PhD committees and external councils. Media contributions cover topics like cost overruns in construction and human-centric infrastructure .

Aleida BraaksmaView profile

Lecturer

• Artificial Intelligence
• Health and Well-being
• Reinforcement Learning
• +7 more

Aleida Braaksma is a Lecturer at the University of Twente, affiliated with the TechMed Centre and Mathematics of Operations Research department. Her work bridges Artificial Intelligence with Health and Well-being , focusing on optimizing healthcare systems through Operations Research methodologies. Key Affiliations: Digital Society Institute, TechMed Centre, Mathematics of Operations Research department Research Themes: Reinforcement Learning, Data Mining, Process Mining, and Queueing Theory applications in healthcare logistics Her recent publications highlight advancements in medical diagnostic scheduling , bed allocation , and adaptive clinical trial designs . She has pioneered dynamic robust optimization frameworks for time-sensitive pharmaceutical workflows and developed sampling-based methods for Gittins index approximation in stochastic environments. Scientific contributions include: Optimization of rheumatology outpatient clinics via patient classification algorithms Response-adaptive procedures in clinical trials using constrained Markov decision processes Real-time forecasting systems for pandemic-related hospital capacity planning Computerized decision support for nurse-to-patient assignment

Claudio PerselloView profile

Adjunct Professor

• Remote Sensing
• Machine Learning
• Image Classification
• +5 more

Claudio Persello is an Adjunct Professor at the University of Twente , affiliated with the Faculty of Geo-Information Science and Earth Observation (ITC) and the Department of Earth Observation Science (EOS). Prior to this, he held a Marie Curie research fellowship at the Max Planck Institute for Intelligent Systems and the Remote Sensing Laboratory at the University of Trento. His research focuses on Deep Learning for Earth Observation , developing AI methodologies tailored to remote sensing data (RGB, multispectral, SAR, LiDAR) and geospatial applications. Key themes include urban deprivation mapping, agricultural monitoring, glacier dynamics, and 3D urban modeling. He emphasizes user engagement, open science, and the creation of interpretable AI solutions for societal challenges. Recent publications highlight trends in deep learning for remote sensing , with applications spanning climate change impact assessment, urban planning, and sustainable development. His work often integrates multi-source data (e.g., satellite imagery, socio-economic layers) to address real-world problems. 2018 : Top five teacher at ITC 2012 : Best PhD thesis in Pattern Recognition (GIRPR) 2011 : Marie Curie fellowship for MaleRS project He actively contributes to editorial boards (e.g., Remote Sensing journal) and collaborative networks like the Digital Society Institute. His datasets (e.g., CadastreVision, Svalbard glacier mapping) are publicly available via Zenodo and DANS.

• Aircraft Maintenance
• Airline Operations
• Predictive Maintenance
• +5 more

Bruno F. Santos is an Assistant Professor in Airline Operations at Delft University of Technology's Faculty of Aerospace Engineering. His research bridges theoretical optimization methods with practical airline operations challenges, focusing on making aviation systems more efficient and sustainable through data-driven approaches. Dr. Santos's research interests center around aircraft maintenance optimization , predictive maintenance using AI , stochastic modeling for airline operations , and strategic planning for sustainable aviation . His work applies advanced computational techniques including Bayesian frameworks and deep reinforcement learning to solve real-world problems in the aviation industry. A key focus is transforming traditional fixed-schedule maintenance into condition-based approaches that respond to actual aircraft system health. His recent publications demonstrate a strong trajectory in high-impact journals, with a focus on counterfactual explanations for remaining useful life estimation, deep reinforcement learning for airport operations, and multidisciplinary coupling for hybrid-electric aircraft design. These works collectively address the critical challenge of making aviation more efficient, sustainable, and cost-effective through digital transformation. TRA VISIONS 2022 Senior Researcher Award Airborne AIAA Electrified Aircraft Technology Technical Committee Best Paper Award (2023) AIAA Software Best Paper Award (2024) Dr. Santos leads significant research initiatives including the €6.8 million ReMAP project, which successfully demonstrated through a six-month trial at KLM that AI models can predict aircraft system health and optimize maintenance scheduling. This project involved collaboration with multiple European universities and industry partners. His editorial roles for Transportation Research Procedia and Transport Policy demonstrate his standing in the academic community. Dr. Santos actively translates research into practical applications, with media coverage highlighting how his work can save airlines hundreds of millions while improving operational efficiency. His Aircraft Maintenance and Operations Research Group focuses on developing adaptive maintenance planning systems that use real-time data to optimize maintenance scheduling, reducing unnecessary maintenance while preventing system failures. The group's work represents a significant shift from traditional fixed-schedule maintenance to condition-based approaches that respond to actual aircraft system health.

• Proportional Reasoning
• Game-based Learning
• Collaborative Learning
• +4 more

Judith ter Vrugte serves as Assistant Professor at the University of Twente with dual appointments in the Digital Society Institute and Instructional Technology group. Her research focuses on educational technology innovations for vocational and mathematics education, particularly through game-based and collaborative learning frameworks. Her primary research domains include game-based learning, collaborative learning mechanisms, and reflection scaffolding in digital environments. She investigates how gamification elements, teacher dashboards, and self-generated concept maps impact knowledge acquisition and student engagement. Key specialties encompass proportional reasoning development, self-regulated learning strategies, and the integration of feedback systems in vocational contexts. Analysis of her 2022-2023 publications reveals strong emphasis on collaborative learning dynamics, reflection techniques, and gamified expectation management. Her work consistently targets practical applications in vocational mathematics education, examining how digital tools enhance student outcomes through structured feedback, teacher support systems, and collaborative problem-solving frameworks. Her principal recognition includes: Tiele Fellow 2022 Ter Vrugte has supervised one PhD thesis at the University of Twente. Her research portfolio indicates active involvement in educational technology development projects, though specific grant details remain undisclosed in source materials. She maintains regular contributions to international learning sciences conferences through invited presentations. She operates within the Instructional Technology research group and the interdisciplinary Digital Society Institute, both central to the University of Twente's educational innovation ecosystem. These affiliations facilitate cross-departmental collaboration on digital learning solutions with societal impact.

Suhyb SalamaView profile

Associate Professor

• Remote sensing of water quality
• Hydrological and water-resources management
• Radiative transfer modelling
• +6 more

Suhyb Salama is Associate Professor of Remote Sensing of Water Quality and Water Resources Management at the Department of Water Resources, Faculty of Geo-information Science and Earth Observation (ITC), University of Twente, the Netherlands. His research integrates radiative-transfer physics, machine-learning analytics and multi-sensor satellite data to unravel hydrological and water-quality processes from micro-scale spectroscopy to meso-scale land–atmosphere interactions, directly supporting UN Sustainable Development Goals 6 and 14. Education: PhD in Civil Engineering, Katholieke Universiteit Leuven, Belgium (2003) MSc in Hydraulic Engineering (magna cum laude), KU Leuven (1999) BSc in Civil Engineering, Damascus University, Syria (1993) Research interests: Salama’s scholarly work spans remote sensing of biogeophysical variables, spatiotemporal modelling of suspended sediments and algal blooms, radiative-transfer theory across visible to microwave domains, development of smartphone-based water-quality apps, detection of floating plastic litter, and assessment of groundwater–vegetation feedbacks. He combines optical, thermal and microwave observations with physical and data-driven models to deliver actionable information on water scarcity, pollution extremes and climate-change impacts. Recent publication trends (2023-2025): His latest articles focus on machine-learning quantification of estuarine sediment variability, advanced detection of floating plastics, smartphone calibration for citizen-based water-quality monitoring, spectral-textural mining mapping, and analytical derivation of water-clarity time series from Sentinel-2 imagery. Collectively these works push toward operational, open-source solutions for high-frequency, basin-scale water-quality monitoring and UN SDG reporting. Editorial & professional service: Salama serves as topical editor for the journal Remote Sensing (2020-2024) and has chaired sessions on long-term earth-observation of suspended particulate matter. He actively collaborates across Europe, Africa and Asia on projects that merge remote sensing, hydrodynamic modelling and capacity development. Teaching & capacity building: He teaches MSc courses on optical and microwave remote sensing for water resources, supervises MSc and PhD research, and champions problem-based learning that equips students with enterprising skills to tackle complex water and climate challenges.

Patrick BijsmansView profile

Associate Professor

• European Studies
• Media & Euroscepticism
• Teaching & Learning
• +4 more

Patrick Bijsmans is an Associate Professor in Teaching & Learning European Studies and serves as Associate Dean for Education at Maastricht University's Faculty of Arts and Social Sciences (FASoS). He is also an Ex-Officio Committee Member at UACES (University Association for Contemporary European Studies). His academic career is deeply rooted in European Studies with a focus on both research and pedagogical innovation. Bijsmans' research primarily centers on European Studies, with specific expertise in Media & Euroscepticism. His work examines how Euroscepticism has become mainstreamed in political discourse, particularly through media coverage of European Parliament elections. He has developed a nuanced fourfold typology distinguishing between supportive, Euroalternative, soft Eurosceptic, and hard Eurosceptic claims, contributing significantly to our understanding of European integration debates. Beyond Euroscepticism, his research extends to teaching and learning methodologies, especially Problem-Based Learning (PBL), curriculum design, and the international classroom experience. His scholarly output demonstrates a clear trend toward bridging theoretical European Studies with practical educational applications. Many of his recent publications examine how teaching methods can enhance understanding of complex European integration processes. His research shows consistent engagement with both the evolving European political landscape and innovative pedagogical approaches, often connecting these two domains to create more effective learning experiences for students of European Studies. Bijsmans actively contributes to academic discourse through various teaching and learning initiatives. He has coordinated staff professional development programs, organized workshops on problem-based learning, and engaged in transnational collaborations, including an Erasmus+ mobility grant at the University of Leeds where he studied their 'Curriculum Redefined' program. His commitment to educational innovation is evident in his exploration of games, podcasts, and other active learning techniques to enhance student engagement in PBL environments. His work with students primarily involves teaching BA and MA level courses in European Studies, where he has implemented various innovative teaching methods. Bijsmans has conducted research on attendance patterns and writing assignments in PBL courses, demonstrating how collaborative learning through class discussion of student work enhances academic performance. He has also investigated international classroom dynamics, examining how diverse student backgrounds impact learning outcomes. Within the academic community, Bijsmans is recognized for his contributions to educational development. His work on teaching assistants and the 'Recognition & Rewards' framework has sparked important conversations about valuing different academic career paths. He has been instrumental in fostering exchange between institutions, advocating for the benefits of visiting other universities to share best practices in teaching and learning.