Find Academic Supervisors

• Operations Research
• Logistics
• Simulation
• +7 more

Wouter J.A. van Heeswijk is an Assistant Professor in the Department of Industrial Engineering & Business Information Systems at the University of Twente, Faculty of Engineering Technology. His research lies at the intersection of operations research, logistics, and artificial intelligence, with a strong focus on decision-making under uncertainty. University: University of Twente School: Faculty of Engineering Technology Department: Industrial Engineering & Business Information Systems Academic Rank: Assistant Professor His research interests include logistics, simulation, dynamic programming, reinforcement learning, urban mobility, and human-centered automation . He applies advanced computational methods to real-world challenges in transportation, disaster response, and business process optimization. His work often integrates machine learning with optimization techniques to build adaptive, data-driven decision support systems. The most recent articles reflect a strong trend toward applying reinforcement learning and simulation-based optimization in complex logistics and urban systems. Topics include traffic equilibrium prediction, post-disaster inventory allocation with UAVs, and self-organizing transportation networks. His publications span high-impact journals and conferences in operations research and computer science. Scientific Awards and Recognitions: No specific awards mentioned in the provided text. Advising and Grants: Dr. van Heeswijk supervises graduate students, including PhD candidates such as R. Bosch. While specific grants are not listed, his active publication record across multiple years and diverse topics suggests ongoing research funding. He collaborates extensively with colleagues like M.R.K. Mes and others in the logistics and operations research domain. Labs and Research Teams: He is part of a research group focused on logistics, simulation, and decision support systems within the Industrial Engineering department. His work contributes to the broader fingerprint of ‘Logistics’, ‘Simulation’, and ‘Reinforcement Learning’ at the university.

Fulya KulaView profile

Assistant Professor

• Mathematics Education
• Statistics Education
• Engineering Education
• +6 more

Fulya Kula is an Assistant Professor at the University of Twente , affiliated with both the Digital Society Institute and the Mathematical Systems Theory department. Her research focuses on mathematics and statistics education, particularly in engineering and university transition contexts. She explores conceptual understanding, assessment strategies, and learning analytics to enhance student success. Her work examines topics such as prior knowledge gaps, statistical inference challenges, and innovative assessment methods like self-generated case studies. She emphasizes bridging pre-university and university mathematics through targeted interventions, supported by data-driven approaches. Kula has received notable awards including the ECER Conference Bursary (2011) and PhD Scholarship (2012). She actively contributes to academic communities through editorial roles in journals like Mathematics and International Journal of Education Sciences and Learning Technology . Her activities include invited talks on student engagement and peer-review work across multiple platforms. Her research also addresses gender representation in mathematics (e.g., a 2023 media piece), highlighting her commitment to inclusive education. She collaborates internationally, evidenced by European-focused learning analytics work and global conference participation.

Dimitris RizopoulosView profile

Professor

• Joint Models for Longitudinal and Time-to-Event Data
• Dynamic Predictions
• Causal Inference
• +7 more

Dimitris Rizopoulos is a Full Professor in the Department of Epidemiology at Erasmus MC, a leading academic medical center in the Netherlands. His work is centered on advanced statistical methodologies with direct applications in clinical and public health research. His primary research interests include: Joint modeling of longitudinal and time-to-event data Dynamic prediction and personalized risk assessment Causal inference in observational studies Machine learning applications in precision medicine Bayesian statistical methods His recent publications reveal a strong trend in developing and applying statistical models to real-world clinical problems, particularly in cardiology (e.g., heart failure monitoring), oncology (e.g., biopsy scheduling), and healthcare delivery (e.g., clinical decision support systems). The articles demonstrate a consistent focus on multivariate longitudinal biomarkers, competing risks, and simulation-based validation of novel methodologies. He has contributed to high-impact journals such as JAMA , Statistics in Medicine , and Insights into Imaging , reflecting the translational nature of his work. His research often involves interdisciplinary collaboration with clinicians, epidemiologists, and health economists. While no specific scientific awards are listed in the provided text, his extensive publication record, dataset contributions, and role as a principal investigator suggest significant recognition in the field of biostatistics and epidemiology. Rizopoulos has supervised at least 10 students or junior researchers, indicating an active role in academic mentoring. His work includes grant-funded research, particularly in the development and evaluation of clinical prediction models and decision support tools, as evidenced by trials such as the MIDAS study. He has co-developed and shared important datasets related to joint modeling and cost-effectiveness analysis, supporting open science and reproducibility. These datasets have been widely referenced and used in the research community, indicating leadership in methodological dissemination.

• Sociology
• Quantitative Methods
• Cultural Studies
• +3 more

Marina Roos, MSc is a Lecturer in the Department of Sociology at the University of Groningen's Faculty of Behavioural and Social Sciences. Her expertise spans research methods, problem-based learning, and social identity & cooperation. She holds a Master's degree in Sociology. Her research interests focus on quantitative methodologies within sociology, cultural studies, and the application of problem-based learning frameworks. She is affiliated with the Teaching Unit Sociology and can be reached at m.roos@rug.nl.

Agnieszka BorowskaView profile

Lecturer

• Computational Statistics
• Bayesian Statistics
• Machine Learning
• +3 more

Agnieszka Borowska is a Lecturer in the Econometrics and Data Science department at Vrije Universiteit Amsterdam's School of Business and Economics. She also serves as an Honorary Research Associate at the University of Glasgow's School of Mathematics and Statistics. Her research focuses on computational statistics, Bayesian methods, and machine learning applications in biomedical engineering, particularly in cardiovascular mechanics and stochastic modeling. She has published extensively on topics like cardiac mechanics modeling, parameter inference in biomedical systems, and neural network-based medical image analysis. Key research interests include developing statistical methodologies for complex biological systems, integrating machine learning with traditional statistical approaches, and applying these to problems in cardiology and biomedical engineering. Her work often involves collaboration with interdisciplinary teams to solve real-world clinical challenges. Recent research has explored Bayesian optimization for cardiac model parameterization, Gaussian process-enhanced approximate Bayesian computation for chemotaxis systems, and neural network-based prediction of left ventricle geometries from cardiac MRI data. These studies highlight her expertise in bridging statistical theory with practical biomedical applications.

Dirk FahlandView profile

Associate Professor

• Process Mining
• Data Engineering
• Complex Systems Analysis
• +3 more

Dirk Fahland is an Associate Professor in Process Analytics on Multi-Dimensional Event Data at the Analytics for Information Systems group, Eindhoven University of Technology (TU/e), School of Mathematics and Computer Science. He combines formal methods with data-driven approaches to analyze complex distributed systems through event data. His current research focuses on process mining, data engineering, and multi-dimensional analysis of business processes. Academic Background: PhD from Humboldt-Universität zu Berlin and TU/e under Profs Wolfgang Reisig and Wil van der Aalst Post-Doc at TU/e on EU-funded ACSI project Research stays at Weizmann Institute, HPI Potsdam, and National University of Singapore Appointments: Assistant Professor (2013), Tenure (2016), Associate Professor (2019) Research Interests: Dirk's work centers on analyzing complex systems through event data by developing techniques for large-scale preprocessing, model synthesis, and multi-angle behavioral analysis. He explores object-centric process mining, anomaly detection, and knowledge graph applications for auditing. His research emphasizes balancing model accuracy with simplicity and integrating domain knowledge for explainable process analysis. Scientific Awards: Best Paper Award BIS 2011 Best Paper Award BPM 2011 Best Paper Award ICPM 2020 Best Paper Award ICPM 2021 Best Reviewer Award ICPM 2019 Educational Contributions: He manages the "Data Science in Engineering" Master's program, leads the "Data Challenge" course series at JADS, and teaches advanced process mining courses. He also contributes to BPMN visualization and performance monitoring education.

Anastasiia BelyaevaView profile

Assistant Professor

• Communication Skills
• Academic Writing
• Business Communication
• +3 more

Anastasiia Belyaeva is an Assistant Professor in Communication Skills and Academic Writing at the Center for Strategy, Organization & Leadership at Nyenrode Business University. Her primary role focuses on developing students' critical thinking, communication effectiveness, and problem-solving skills for academic and professional settings. Previously, she served as an Assistant and Associate Professor at Zaporizhzhia National University, Ukraine, where she taught English for Business, Professional Purposes, and Academic Writing for over 15 years. Expertise: Business Communication, Language Pedagogy, Contrastive Linguistics Research Focus: Cognitive Semantics, Corpus Linguistics, Discipline-Specific Language Instruction Her teaching philosophy emphasizes equipping students with tools to navigate communication challenges in both academic and corporate environments. Belyaeva designs specialized classroom materials to bridge language competencies with professional applications in fields like graphic design and IT. She actively contributes to language education through blogs like AllProfessionalEnglish , focusing on interactive learning methods and coding for educators. Publications highlight her work in contrastive linguistics and corpus-based approaches, with notable contributions to journals like Nova filolohiya and Diacrítica . Her books provide structured curricula for graphic design students, integrating language skills with creative disciplines.

Antoine A.J. van den BeemtView profile

Associate Professor

• STEM Teacher Professional Development
• Technology Enhanced Learning
• Networked Learning
• +6 more

Dr. Antoine A.J. van den Beemt is an Associate Professor at the Eindhoven School of Education (TU/e), focusing on STEM teacher professional development , Technology Enhanced Learning , and Challenge-Based Learning . His work bridges educational innovation with empirical research in higher education contexts. PhD in Interactive Media Practices (Utrecht University, 2010) Active in Learning Analytics , Transdisciplinary Education , and Networked Learning Supervised multiple Master's theses on pedagogical frameworks and educational technology His 50+ peer-reviewed articles span topics like AI integration, challenge-based curricula, and interdisciplinary engineering education. Collaborations include institutions like Emerald Publishing and journals such as Computers and Education: Artificial Intelligence .

Esther Ventura-MedinaView profile

Professor

• Engineering Education
• Problem-Based Learning
• STEM Education
• +5 more

Esther Ventura-Medina is a Full Professor of Innovation in STEM Education at Eindhoven University of Technology (TU/e), working within the Eindhoven School of Education and the Department of Applied Physics and Education Science. She holds significant leadership positions as the Scientific Director of the Academy for Learning and Teaching (ALT) and the Leader of the Centre for Engineering Education (4TU.CEE) at TU/e. Her academic career spans multiple prestigious institutions across the globe, with a strong focus on educational innovation in engineering contexts. Dr. Ventura-Medina's educational background includes BSc and MSc degrees in Chemical Engineering from Universidad Simón Bolívar in Venezuela, followed by a PhD in Chemical Engineering from the University of Manchester Institute of Science and Technology (UMIST) in 2000. Her doctoral research focused on mineral froth flotation systems. She further enhanced her educational expertise with a Post-graduate Certificate in Education (PGCE) in Secondary Mathematics from the University of Manchester in 2005. Her research interests center on cognitive development and human agency within social learning environments, with particular expertise in skill development through student-centered pedagogies like Problem- and Project-Based Learning. She investigates how students working in teams solve problems, self-manage their efforts, and become self-directed learners by examining social interactions within learning environments. Recent work explores opportunities offered by digitalization of education and optimal employment of digital technologies for student learning. Analysis of her recent publications reveals a strong focus on engineering education innovation, particularly in challenge-based learning, digital transformation, and AI applications in educational contexts. Her work consistently bridges traditional engineering education with emerging technological approaches, maintaining strong connections to practical classroom implementation while contributing to theoretical frameworks in educational research. University of Manchester 'Teacher of the Year' award (2011) Professor Ventura-Medina has supervised numerous educational initiatives and research projects throughout her career. Her leadership roles have included Director of Undergraduate Studies at the University of Manchester, Director of Teaching at Monash University, and Director of Assessment and Director of Postgraduate Taught Programmes at the University of Strathclyde. She has served as External Examiner for Chemical Engineering programs and conducted quinquennial reviews of chemical engineering curricula. Her professional network includes leadership in the Education Special Interest Group within the Institution of Chemical Engineers (2019-2022) and membership in the Collaborative Online Learning Network and Engineering Education Research Special Interest Group at SEFI. As Scientific Director of the TU/e Academy of Learning and Teaching and Leader of the Centre for Engineering Education at TU/e (4TU.CEE), she oversees significant educational innovation initiatives across multiple institutions. Her current research group (Group Ventura-Medina) focuses on Engineering Education, with active research in Social Sciences areas including Education Research (50%), Student Learning (46%), Educational Innovations (39%), Educational Practice (32%), Legislation (32%), Artificial Intelligence (32%), and Higher Education Institutions (29%).

Sjoerd ClaessensView profile

Professor

• Legal Education
• EU Internal Market Law
• Free Movement of Professionals
• +5 more

Sjoerd Claessens is a Full Professor and Key Domain Chair in European Law at the Faculty of Law, Maastricht University. He serves as Vice-Dean for Education and Academic Director of the Maastricht Institute for Legal Education (MILE), and is affiliated with the Maastricht Center of European Law (MCel) and the Ius Commune Research School. His work bridges academic scholarship, educational leadership, and EU legal policy. Research Interests: His primary research focuses on advancing the quality of legal education, particularly within problem-based learning (PBL) environments. He investigates curriculum design, student mentoring, teaching evaluation, and the integration of professional requirements into academic legal training. His expertise also extends to EU internal market law, especially the free movement of legal professionals and diploma recognition across member states. The recent publications highlight a strong emphasis on innovative legal pedagogy, including the role of moot courts, remote mentoring, pandemic-era teaching challenges, and holistic assessment methods. These works reflect a consistent theme: aligning legal education with evolving professional, cultural, and technological landscapes. Academic Leadership: Associate Dean for English-taught Programmes (2010–2013) Chair of the Faculty Council (2015–2017) Director of Studies (2017–2020) Vice-Dean for Education (current) Academic Director, Maastricht Institute for Legal Education (MILE) Advising and Grants: While specific students and grant funding are not mentioned in the text, his leadership roles in education management and curriculum development indicate extensive involvement in academic advising, program oversight, and likely institutional or educational research grants. His editorial contributions to major legal compendia suggest influence in shaping legal education discourse. Labs and Research Groups: Sjoerd is actively involved with the Maastricht Center of European Law (MCel) and the Ius Commune Research School, both of which support collaborative research in European and comparative law. As Academic Director of MILE, he leads an institute dedicated to innovation and excellence in legal pedagogy.

Jörg RaabView profile

Professor

• Inter-organizational Networks
• Network Governance
• Public Administration
• +5 more

Prof. Jörg Raab is a Full Professor of Inter-organizational Networks at Tilburg University's Department of Organization Studies, part of the Tilburg School of Social and Behavioral Sciences. His research focuses on inter-organizational networks in public, non-profit, and private sectors, emphasizing governance, effectiveness, and responses to complex challenges like crises and sustainable development. He has held leadership roles, including Head of Department since 2023 and program director for the Bachelor Global Management of Social Issues until 2022. Education: PhD in Public Policy and Management (summa cum laude), University of Konstanz, 2000 Diplom in Public Policy and Management, University of Konstanz, 1995 Teaching qualifications: Basic Teaching Qualification (Tilburg University, 2014) and Zertifikat Hochschullehre (Baden-Württemberg, 2005) Research Interests: Raab investigates how public and private actors collaborate to achieve policy and service outcomes. Key areas include network governance, crisis management (e.g., pandemic responses), sustainable development, and healthcare networks. He led the EISON project on network supervision and co-authored a book on organizing for sustainable development. Teaching & Activities: He teaches courses like Interorganizational Relations, Network Analysis, and Public Management at Tilburg University and TIAS School for Business and Society. Recent activities include organizing conferences on societal transformation and supervising over 10 PhD students focusing on network dynamics and governance. Awards & Grants: While no explicit awards are listed, Raab's extensive research output (>90 publications) reflects sustained academic impact. He secured grants for projects like the Bovenregionale Expertisenetwerken Jeugd study and the EISON initiative. Labs & Teams: Collaborates with international networks (e.g., University of Arizona, China-based studies) and leads Tilburg’s research on organizational networks in governance and sustainability.

Bart DierynckView profile

Professor

• Management Accounting
• Organizational Behavior
• Operations Management
• +3 more

Prof. Bart Dierynck is a Full Professor of Accounting at Tilburg University, affiliated with the Department of Accountancy at the Tilburg School of Economics and Management (TiSEM). His research focuses on interdisciplinary questions at the intersection of management accounting, operations management, organizational behavior, and corporate responsibility. He holds visiting positions at Emory University and INSEAD and currently heads the PhD program in Accounting at Tilburg. His work emphasizes practical relevance, employing experimental and archival methods, and has been published in leading journals. He is an award-winning educator, teaching in MSc, MBA, and executive programs. Research Interests: Management accounting design and implications Behavioral aspects of organizational decision-making Sustainability and corporate responsibility integration Auditor learning processes and professional development Recent Research Trends: His 2024-2025 work explores compensation contracts, auditor learning frameworks, and cost efficiency strategies. Earlier studies address tax disclosures, supply chain accountability, and employee creativity incentives. His 2023 project on audit firm learning underscores workplace learning dynamics. Awards: Best Teacher MSc programs (2021) Teaching Innovation Award (2019) Professional Activities: Leads the PhD program in Accounting at Tilburg and serves on academic committees. His research is supported by grants, including a 2020-2023 project on auditor learning in audit firms. Labs/Teams: Associated with the Tilburg Sustainability Center and the Research Group: Accounting, focusing on multidisciplinary collaboration.

Marten van DijkView profile

Professor

• Computer Security
• Cryptography
• Secure Processor Design
• +7 more

Dr. Marten van Dijk is a Full Professor in the Computer Security department at Vrije Universiteit Amsterdam (VU) since 2022 and a Group Leader for Computer Security at CWI since 2020. He also holds a Gratis Full Research Professor position at the University of Connecticut's ECE Department since 2020. Previously, he served as Associate and Full Professor at the University of Connecticut and held research roles at MIT CSAIL, RSA Laboratories, and Philips Research. PhD in Mathematics (1997, Eindhoven University of Technology) M.S. in Mathematics (Cum Laude, 1993) M.S. in Computer Science (Cum Laude, 1991) His research focuses on foundational computer security problems using cryptographic principles, including secure processor design, oblivious computation, and privacy-preserving machine learning. Notable contributions span Physical Unclonable Functions (PUFs), Aegis secure processor architecture, and oblivious RAM protocols. 15+ publications in 2023-2025 address topics like PUF cryptanalysis, differential privacy in federated learning, and Byzantine fault tolerance Key journals: IEEE Transactions on Computers, Journal of Cryptology, ACM CCS Conference Award highlights include: IEEE Fellow (2022) for secure processor design and encrypted computation IEEE Technical Achievement Award (2023) Intel Test of Time Award (2022) ACM CCS Best Paper (2013) A. Richard Newton Technical Impact Award (2015) His technical leadership spans hardware security (blu-ray error correction codes), cryptographic protocol design, and machine learning privacy frameworks. Current projects focus on secure processors with hardware-enforced isolation and differential privacy optimization.

Denis VoskovView profile

Associate Professor

• Reservoir Simulation
• CO2 Sequestration
• Geothermal Energy
• +4 more

Denis Voskov is an Associate Professor at Delft University of Technology (Faculty of Civil Engineering and Geosciences, Department of Geoscience & Engineering). He also holds an Adjunct Professor position at Stanford University (Department of Energy Resources Engineering, USA). His academic career spans roles as Senior Researcher (2007-2015) and Research Associate (2005-2007) at Stanford, CTO of Rock Flow Dynamic (2005-2008), and engineering positions in oil companies and research institutions in Russia (2000-2005). Current: Head of Reservoir Engineering Section (2024-present) Current: Associate Professor at TU Delft (2015-present) Current: Adjunct Professor at Stanford University (2016-present) Voskov specializes in modeling complex subsurface systems , focusing on reactive flow and transport in altering porous media, scale translation for physical processes, high-performance computing for forward/inverse problems, thermal/geothermal process simulation, CO2 sequestration, and nonlinear solver analysis. His work bridges computational methods (finite volume frameworks, augmented flash calculations, operator-based linearization) with energy transition applications like geological carbon storage and geothermal resource management. Key trends in his recent publications (2024-2025) include: advanced CO2 storage mechanisms (capillary pinning, halite precipitation), multiphysics simulation frameworks (thermal-hydro-mechanical-compositional models), data assimilation for geothermal reservoirs, physics-informed neural networks for subsurface problems, and open-source tools like DARTS-well. Topics frequently intersect with energy transition, reservoir heterogeneity, and numerical robustness. Voskov's lab and team activities center on subsurface energy systems at TU Delft, including the campus geothermal project for direct-use heating and digital twin development for geothermal reservoirs. He collaborates internationally, particularly with Stanford University, and leads initiatives in GPU-based Monte Carlo simulations for uncertainty quantification.

• Science Education
• Biology Education
• Systems Thinking
• +4 more

Dr. Marie-Christine Knippels is an Associate Professor at the Faculty of Science, Utrecht University , specializing in Science Education . Her work bridges biology education and educational innovation, focusing on fostering responsible citizenship and metacognitive skills through socioscientific inquiry-based learning (SSIBL) and systems thinking. As Director of Studies for the Bachelor program at the Freudenthal Institute , she leads curriculum development in science education and communication. Education: PhD in Genetics Education, postdoctoral research on moral reasoning in genomics dilemmas. Her research emphasizes integrating sustainability and ethical reasoning into science education, evidenced by recent publications on environmental citizenship, open schooling models, and systems thinking in biology classrooms. She explores gamification (e.g., escape rooms/boxes) to enhance collaborative and immersive learning. Key Publications (2020–2025) address systems thinking frameworks, socioscientific inquiry, and sustainability education. Her work appears in journals like Journal of Curriculum Studies , Frontiers in Education , and Sustainability , often co-authoring with colleagues such as van Joolingen , Gilissen , and Verhoeff . She contributes to teacher education as a member of the BKO/SKO committee and designs courses like Designing for Science Education and SmallSSIBL . Her lab/team collaborates via the Freudenthal Institute and international networks (e.g., ENEC Cost Action).