Find Academic Supervisors

Evgeni MoyakineView profile

Associate Professor

• IT law
• privacy and data protection
• cybersecurity
• +5 more

Dr. Evgeni Moyakine is an Associate Professor at the Faculty of Law, University of Groningen, specializing in IT law, cybersecurity, and international law. He holds affiliations with institutions like the Center for Cyber Law & Policy at the University of Haifa and contributes to the Scientific Advisory Board of cyberintelligence.institute. His research focuses on transnational legal challenges in digital environments, including privacy, data protection, and State responsibility in cyberspace. Education: Master's (cum laude) from Radboud University Nijmegen, Research Master from Tilburg & Leuven Universities, PhD from Tilburg University. Research Projects: INGRESS (fingerprint scanner tech), CARISMAND (risk management in disasters), AI Shield (AI cybersecurity). Teaching: Coordinates courses on Cybersecurity & Telecom, Privacy Law, Telecommunications Law, and supervises Master's theses. Organized MOOCs on GDPR and designed specialized courses like 'Accountability in the Cyberspace Era'. Affiliations: Member of NEN-normcommissie on AI/big data, editorial board of International Cybersecurity Law Review, and various academic committees at Groningen.

Clemens DubslaffView profile

Assistant Professor

• Formal Methods
• Probabilistic Model Checking
• Symbolic Methods
• +4 more

Clemens Dubslaff is an Assistant Professor in the Formal System Analysis group at TU Eindhoven (The Netherlands). His research focuses on improving the reliability and explainability of computing systems through formal methods, particularly probabilistic model checking and symbolic techniques. He holds a Ph.D. from TU Dresden (Germany) and has affiliations with TU Dresden's Cluster of Excellence CeTI and Collaborative Research Center CPEC. His work addresses challenges in analyzing complex configurable systems and enhancing system transparency through explainable AI approaches. Education: B.Sc. in Mathematics and Computer Science (TU Dresden) M.Sc. in Computational Logic (NOVA University Lisbon) Ph.D. in Formal Methods (TU Dresden) Research Interests: Formal methods and model checking Symbolic analysis techniques Configurable and reconfigurable systems Explainability in AI and verification Probabilistic systems analysis Recent Achievements: NWO VENI Grant (2023) Launched OxiDD decision diagram framework (2024) Key contributions to feature-based software analysis Labs/Teams: Formal System Analysis group at TU/e, collaborating with Dresden's CeTI and CPEC initiatives.

Jaap-Henk HoepmanView profile

Associate Professor

• Privacy by Design
• Privacy Enhancing Protocols
• Identity Management
• +3 more

Jaap-Henk Hoepman is an Associate Professor at Radboud University Nijmegen and Guest Professor at Karlstad University. He leads the Privacy & Identity Lab and is a member of Radboud's iHub, focusing on interdisciplinary digitalization research. His work emphasizes translating legal privacy norms into engineering solutions through Privacy Design Strategies , detailed in his book The Little Blue Book . He actively engages in public discourse via a blog archived by the Dutch Royal Library. Research Interests: Privacy by Design Privacy Enhancing Technologies Identity Management Societal Impact of Technology Internet of Things Privacy Cryptography Committee Roles: Ethics committee member for Groningen municipality, organizer of the Privacy Engineering Network of the Netherlands (PEN-NL), and advisory board member for the Weizenbaum Journal of Digital Society . Labs/Teams: Principal scientist at the Privacy & Identity Lab and co-organizer of interdisciplinary privacy summer schools.

• AI Ethics
• Network Analysis
• Machine Learning
• +3 more

Dr. Doina Bucur is a prominent academic in the Electrical Engineering, Mathematics and Computer Science (EEMCS) faculty at the University of Twente. Her work bridges interdisciplinary research in AI ethics, network science, and computational sustainability. She leads the DECIDE project, which focuses on transparent AI decision-making systems impacting public services, healthcare, and insurance sectors. Her research spans machine learning applications in ecological networks, fault detection in sensor systems, and multi-objective optimization in social networks. She has pioneered methods for analyzing microbial community structures (e.g., gFlora), automated fault tree learning, and bias reduction in AI systems. Grants & Collaborations: Recipient of NWA ORC funding (2024) for the DECIDE initiative. Collaborates with over 50 researchers across disciplines including computer science, philosophy, law, and psychology. Active in developing evolutionary algorithms for network vulnerability analysis and multi-objective optimization. Labs & Teams: Core member of the Twente AI Ethics Lab and the Network Science Research Group. Leads interdisciplinary teams addressing real-world challenges through computational methods.

Susan NiessenView profile

Academic

• Psychometrics
• Personnel Selection
• Algorithmic Decision-Making
• +12 more

Susan Niessen is a University Lecturer in the Faculty of Behavioural and Social Sciences at the University of Groningen, affiliated with the Psychometrics and Statistics department. Her work spans psychometrics, personnel selection, algorithmic decision-making, and talent identification in sports and education. Research Interests: Her research focuses on predictive validity, decision-making, organizational psychology, and educational assessment. She investigates how algorithms and psychological tests can improve fairness and accuracy in hiring and admissions. Her work also explores talent scouting in soccer and the use of multimodal data for personality assessment. Publication Trends: Her recent articles emphasize algorithmic transparency in hiring, athlete assessment using cognitive models, and longitudinal analysis of career pathways in sports. She combines psychometric rigor with real-world applications in education, HR, and sports science. Scientific Awards: Gratama Award (2024) ABBAS Dissertation Award (2019) Top Cited Paper Certificate, International Journal of Selection and Assessment (2018) BSS Science for Society Award (2016) Advising and Grants: She serves as co-supervisor for a PhD project on algorithmic fairness in secondary education admissions (2024–2029). She has contributed to consultancy projects, including the evaluation of selection procedures for R(h)io’s (2024). Her datasets on higher education performance and soccer talent are publicly available. She is an editor for the Journal of Personnel Psychology and actively participates in peer review and academic presentations. Labs and Teams: She collaborates closely with researchers like R.R. Meijer, M. Neumann, and R.J.R. den Hartigh. Her work is embedded in the Psychometrics and Statistics group at the University of Groningen, contributing to both academic research and societal impact through public engagement and policy-relevant studies.

• Computational Linguistics
• Online Extremism
• Radicalisation
• +12 more

Isabelle van der Vegt is an Assistant Professor in the Department of Sociology at Utrecht University, where she conducts research at the intersection of computational linguistics, criminology, and social science. Her work focuses on understanding online extremism, radicalisation, and targeted violence through innovative linguistic and data-driven methods. She holds a PhD from the UCL Department of Security and Crime Science, supervised by Paul Gill and Bennett Kleinberg. Her educational background includes a Research Master’s in Psychology from the University of Amsterdam and a Bachelor of Liberal Arts & Sciences (Psychology + Linguistics) from University College Utrecht. She has held prior research roles at University College London and the Research and Documentation Centre of the Dutch Ministry of Justice and Security. Her research interests include computational linguistics, online hate, threat assessment, and open science methodologies. She is the creator of the Grievance Dictionary , an open-source tool for automatic linguistic threat assessment, which has been translated into Dutch, German, and Italian. Her publications span journals such as Crime Science , Terrorism and Political Violence , and Behavior Research Methods , with a strong focus on methodological rigor and transparency. Her recent publications reflect a consistent trend in analyzing language use in extremist contexts, developing tools for automated threat detection, and advancing methodological standards in the study of online violence. She emphasizes ethical considerations in computational approaches to security and advocates for open science practices. She is actively involved in academic collaboration, having co-organized a Lorentz workshop on methods for studying hate and extremism online and co-editing an upcoming open-access book on the topic with Ryan Scrivens and Sandy Schumann. Her work has received support from interdisciplinary research networks and is frequently shared through open platforms like Open Science Framework and GitHub. Isabelle van der Vegt is affiliated with the European Network for Open Criminology and promotes transparency in criminological research. She has no listed advisees at this time but plays a mentorship role through workshops and collaborative projects. She is not part of a named lab but contributes to broader research collectives focused on extremism, security, and computational social science.

Albert PluggeView profile

Professor

• ESG Transformation
• Digital Innovation
• Sustainability
• +5 more

Prof. Albert Plugge is a Professor of ESG Transformation & Digital Innovation at Nyenrode Business University, affiliated with the Entrepreneurship, Governance & Stewardship Expertise Center. Previously (2011–2022), he held a part-time role at TU Delft's Faculty of Technology, Policy and Management (TBM) and IDE, focusing on digital innovation in supply chains. His research bridges ESG compliance, digital transformation, and global business services. He earned his PhD in Information Management from TU Delft (2011), exploring IT supplier performance models. Research interests emphasize digital platforms' role in ESG reporting, AI governance, and cross-organizational collaboration via business ecosystems. Collaborative work with Åbo Akademi University on global business services digitalization will be published in a Palgrave Macmillan booklet (2024). He organizes Nyenrode’s Digital Business Ecosystems lecture series, addressing public-private partnerships and systemic challenges. Publications span journals like Information Systems and e-Business Management and Business Process Management Journal , addressing IT outsourcing governance, shared service centers, and multi-sourcing tensions. His work often intersects strategic portfolio management, agile sourcing, and socio-technical systems analysis.

Jacques de SwartView profile

Professor

• Bayesian Statistics
• Responsible AI
• Strategic Decision Making
• +5 more

Prof. Jacques de Swart is a Professor of Applied Mathematics at Nyenrode Business University, where he is part of the Faculty Research Center for Accounting, Auditing & Control. He holds a unique part-time role, dedicating one day per week to academia while serving as a Partner at PwC’s Consulting practice for the remaining four days. His expertise bridges mathematical rigor with business applications, focusing on audit processes, Bayesian statistics, and strategic decision-making aligned with ESG principles. Prof. de Swart’s academic journey includes a Mathematics degree from Utrecht University, with studies at La Sapienza University in Rome. He completed his PhD in Computational Science at the University of Amsterdam under the Centre for Mathematics and Computer Science (CWI). Later, he earned an MBA from Rotterdam School of Management, Erasmus University. His research interests revolve around Bayesian statistical methods, responsible AI integration, and strategic decision-making frameworks that prioritize environmental, social, and governance (ESG) considerations. He actively develops and teaches modules in machine learning, statistics, and programming, emphasizing their practical applications in auditing and business analytics. His publications highlight the application of Bayesian approaches to audit sampling and transparency, advocating for open-source tools to bridge auditors and statisticians. Recent work explores strategic decision-making frameworks that align business goals with sustainability and ethical practices. Earlier contributions include foundational research on computational methods for orbit calculations and Fekete point configurations. Prof. de Swart supervises students in their master’s thesis projects, fostering the next generation of analytical thinkers. His work reflects ongoing engagement with industry partnerships and data-driven innovation. He also chairs the Steering Group for Statistical Audit and the Watersportpark Ouderkerkerplas Foundation, advocating for accessibility in water sports for people with disabilities.

• Data Protection Law
• GDPR Compliance
• Digital Privacy
• +3 more

Dr. Jef Ausloos is an Assistant Professor of Information Law at the Amsterdam Law School, University of Amsterdam. His work focuses on data protection law, digital privacy, and platform governance. He specializes in GDPR compliance, algorithmic transparency, and the intersection of media law with emerging technologies. Current research explores challenges in data access rights, collective data harms, and ethical frameworks for digital trace data collection. Key areas include the operationalization of data subject rights under the GDPR, regulatory gaps in platform governance, and the role of collective action in addressing data-driven harms. He has contributed to interdisciplinary projects like the ATAP initiative on algorithmic transparency in news recommenders and the OSD2F open-source data donation framework. His publications analyze legal-ethical dimensions of digital platforms, including critiques of transparency practices, the right to be forgotten, and the evolving role of media concentration law in the digital era. Notable works address data donation frameworks, GDPR implementation challenges, and the limitations of current privacy regulations in addressing collective societal impacts. Ausloos advises on policy issues related to digital privacy and participates in EU regulatory consultations. His research often bridges legal scholarship with technical and social science perspectives, aiming to inform both academic and policy debates on digital rights in the information society.

Florian SchuberthView profile

Associate Professor

• Structural Equation Modeling
• Partial Least Squares
• Composite-based Methods
• +7 more

Florian Schuberth is an Associate Professor at the Chair of Product–Market Relations within the Faculty of Engineering Technology at the University of Twente. His research focuses on composite-based structural equation modeling (SEM), particularly Partial Least Squares (PLS) methods, with applications across Information Systems, Social Sciences, and Computer Science. He actively contributes to quantitative research methodology and open science. Bachelor's and Master's in Business Administration and Economics, University of Würzburg PhD in Econometrics, summa cum laude, University of Würzburg (2017) His research interests center on advancing composite-based SEM, including model specification, fit assessment, higher-order constructs, and robust estimation techniques. He emphasizes methodological rigor and reproducibility in social science research. His recent work, reflected in publications and software development, demonstrates a strong trend toward improving the transparency, validity, and accessibility of composite modeling techniques, particularly through R-based tools. He has made significant contributions to model evaluation, measurement invariance, and endogeneity correction in PLS-SEM. Florian Schuberth is a passionate educator, coordinating and teaching courses on quantitative research methods. He is also deeply committed to open science, serving as coordinator of the Open Science Community Twente. Notable contributions include the development and maintenance of the cSEM R package, which enables researchers to perform composite-based SEM in R, promoting open, reproducible research practices. Maintainer of the R package cSEM Coordinator, Open Science Community Twente (since 2022) Active contributor to methodological software and open science infrastructure

• Machine Learning
• Natural Language Processing
• Language Modelling
• +7 more

Wilker Ferreira Aziz is an Assistant Professor at the Institute for Logic, Language and Computation (ILLC) within the Faculty of Science at the University of Amsterdam, where he leads the Probabilistic Language Learning group. His primary affiliation is with the Natural Language Processing & Digital Humanities research unit. His research focuses on the intersection of machine learning, natural language processing, and probabilistic modeling. Key areas of interest include language modeling, machine translation, syntactic parsing, text classification, and question answering. He develops techniques for probabilistic inference, gradient estimation, and uncertainty quantification in neural language models. Dr. Aziz's recent publications demonstrate a strong focus on uncertainty in natural language generation, with multiple papers at top-tier conferences like EACL, EMNLP, and ICLR. His work examines how language models represent uncertainty compared to humans, calibration issues when humans disagree on labels, and methods for more robust decision-making in text generation. Best Paper Award at Coling 2020 He actively supervises both PhD and MSc students, with several ongoing PhD projects focusing on uncertainty in language models and neural text generation. Dr. Aziz serves on program committees for major ML and NLP conferences including ACL, EMNLP, NeurIPS, and ICLR, and has acted as area chair for several of these venues. His research has been supported through positions at the Mercury Machine Learning Lab, a collaboration between Booking.com, TU Delft, and the University of Amsterdam.

David GrausView profile

Assistant Professor

• Information Retrieval
• Natural Language Processing
• Digital Humanities
• +4 more

Dr. David Graus is an Assistant Professor in Information Retrieval and Natural Language Processing at the Institute for Logic, Language and Computation (ILLC) at the University of Amsterdam. He leads the Artificial Intelligence for Open Government (AI for OpenGov) ICAI Lab, a collaboration between the University of Amsterdam and the Rijksorganisatie voor Informatiehuishouding (RvIHH). His primary research affiliation is with the Natural Language Processing & Digital Humanities group at the ILLC. Dr. Graus specializes in applying Information Retrieval and Natural Language Processing techniques to improve the accessibility and usability of open government data. His work focuses on developing AI solutions for government transparency, including the Woogle search engine for open government information. After eight years in industry, he returned to academia to focus on this societally relevant research area with real-world impact. Dr. Graus supervises three PhD students who work within a "Living Lab" environment with real data and users. He is actively engaged in public discourse about AI and open government, having given workshops and masterclasses on these topics. Dr. Graus serves on the board of SETUP and is a member of the Commissie Persoonsgegevens Amsterdam (CPA), which advises the Amsterdam city council on matters concerning personal data, algorithms, and digital rights. As a public engagement fellow at Amsterdam AI's "De AI Samenleving," he engages in dialogues with citizens at venues like NEMO, OBA libraries, and city service centers in Amsterdam.

Pieter Jan van der ZaagView profile

Professor

• Bionanotechnology
• Optical Imaging
• Cancer Drug Interaction Analysis
• +4 more

Prof. dr. Pieter Jan van der Zaag is a faculty member at the University of Groningen's Zernike Institute for Advanced Materials (ZIAM), leading the Molecular Biophysics group. His research focuses on bionanotechnology, optical imaging techniques for biological tissues, and cancer drug interaction studies. He holds academic positions in both the Faculty of Science and Engineering and the Faculty of Medical Sciences, bridging physics and medical research. Prof. van der Zaag's work includes developing advanced 3D optical imaging methods (e.g., Light Sheet and confocal microscopy) for cancer drug distribution analysis and tissue clearing techniques. His group collaborates with the UMCG and industry partners to translate optical methods into clinical applications like intraoperative imaging. He is active in academic governance, serving as Chairman of NWO's Physics for Technology and Instrumentation committee and co-chair of ESMI's Intra-Operative Imaging study group. His patent portfolio includes innovations in imaging devices, microfluidics, and diagnostic systems. Key research trends in his publications include material characterization for biomedical applications, optical imaging advancements, and single-cell analysis. His work addresses challenges in tissue transparency, drug delivery visualization, and real-time surgical guidance systems.

• Intellectual Property Law
• Technology Regulation
• Digital Economy
• +5 more

Sunimal Mendis is an Assistant Professor in Intellectual Property Law at Tilburg University's Tilburg Institute for Law, Technology, and Society (TILT). His research focuses on the intersection of copyright law, technological innovation, and the digital economy, with an emphasis on AI, big data, and digitization. He holds a PhD magna cum laude from Ludwig Maximilian University of Munich, Germany. Education: PhD in Intellectual Property Law, Ludwig Maximilian University of Munich (2019) LL.M. in Intellectual Property and Competition Law, Munich Intellectual Property Law Center (2009) LL.B., University of Colombo (2007) Research Interests: Copyright law's role in regulating socio-technical change, democratic discourse in digital spaces, and balancing user rights with copyright enforcement. His work contributes to UN SDGs related to education and innovation. Awards: ATRIP Essay Competition Winner (2018) Nominated for Best Teacher (Major Course) (2025) Projects Leadership: Principal Investigator: CODiS (Re-imagining Copyright Law in the Digital Public Sphere) Co-PI: DIGI-APPS (Digital Governance of Internet for Accessible Protected Public Spheres) Teaching: Courses include 'Regulating Content in a Platformized Society' and 'Intellectual Property and Privacy' at Tilburg University and other institutions. Labs/Teams: Collaborates with the Digital Humanism Initiative (TU Wien) on human rights-centered digital policies.

Hannes DattaView profile

Associate Professor

• Econometrics
• Digital Media Consumption
• Music Streaming
• +4 more

Hannes Datta is an Associate Professor in the Department of Marketing at Tilburg University, Netherlands. He holds dual roles within the Tilburg School of Economics and Management (TiSEM), focusing on advanced econometric models for digital media consumption and retailing. His research leverages large datasets and cloud computing, with notable contributions to understanding music streaming dynamics and marketing mix strategies. Datta has received prestigious awards including the MSI Young Scholar and NWO Veni grant. His career spans roles as Assistant Professor (2013-2018) and Associate Professor (2018-present) at Tilburg University. Teaching highlights include courses on social media research, digital marketing strategies, and data science methodologies. He has been recognized for teaching excellence with awards like Tilburg University's Teacher of the Year (2016). Research interests center on digital media's impact on consumer behavior, with projects exploring Spotify's playlist demand, web data scraping techniques, and cross-national market responses. He advises external organizations such as Stichting Onderhandelingen Thuiskopievergoeding (SONT) and Mobiel.nl. Datta actively engages in media commentary on streaming services' societal impacts and maintains a personal website (hannesdatta.com) with thesis resources (thesis.hannesdatta.com). Key contributions include over 14 peer-reviewed articles, datasets on music streaming and marketing science, and collaborations with institutions like Duke University. His work aligns with UN Sustainable Development Goals, emphasizing innovation and sustainable consumption patterns.