Find Academic Supervisors

• Competition Law
• Economic Inequality
• Artificial Intelligence Law
• +3 more

Amit Zac is a Visiting Professor at the Faculty of Law , University of Amsterdam , with a focus on Competition Law , Economic Inequality , and Artificial Intelligence Law . His work bridges legal frameworks with socioeconomic impacts, particularly in GDPR compliance , consumer protection , and AI-driven regulatory analysis . Email: a.zac@uva.nl Research Interests Zac’s research explores how competition law influences labor share and household inequality , often integrating AI and algorithmic compliance for regulatory challenges in digital markets. His publications highlight intersections between economic justice , antitrust enforcement , and emerging technologies . Publications Trends Recent works emphasize automated compliance in data privacy , generative AI implications for consumer law , and dark patterns affecting vulnerable populations . Earlier studies analyze sector-specific regulation and comparative law in the US and UK contexts.

Femke VossepoelView profile

Professor

• Data Assimilation
• Geosciences
• Subsidence Modeling
• +4 more

Femke Vossepoel is a Professor of Earth System Simulation at the Delft University of Technology 's Faculty of Civil Engineering & Geosciences. She leads a research group focused on data assimilation in geosciences, integrating observations with dynamic Earth-system models to address challenges in urban heat islands, subsidence, and seismic hazard forecasting. Her interdisciplinary background spans oceanography, petroleum engineering, and climate resilience. Research Focus Earthquake occurrence estimation using advanced filtering algorithms Subsidence due to subsurface fluid extraction Climate resilience applications in urban environments AI-enhanced data assimilation for CO2 storage optimization Her work bridges geoscience and computational methods, with key roles in EU's Destination Earth initiative and the UrbanAIR consortium. She received funding from the Dutch Research Council (NWO), Delphi Consortium, and Petrobras for her innovative projects.

• Climate Change
• Climatic Change
• Environmental Science
• +7 more

Maria del Pozo Garcia is a Lecturer at Wageningen University's Earth Systems and Global Change department. Her research focuses on climate services, adaptation pathways, and multi-hazard risk analysis, with a regional emphasis on Spain and Europe. She leads work on capacity-building frameworks for climate services, including Delphi-method user group structuring and educational design principles for Copernicus Program training programs. Her recent publications highlight intersections between climate modeling, participatory decision-making, and sustainable development. Her work addresses the Shared Socioeconomic Pathways (SSPs) framework and wildfire-flood risk interactions, particularly in the Ebro River basin. She collaborates internationally on climate service design and implementation strategies.

R.R. NegenbornView profile

Professor

• Transport Engineering
• Logistics
• Autonomous Vessels
• +7 more

Professor R.R. Negenborn is affiliated with Delft University of Technology, specializing in Transport Engineering and Logistics. His research spans autonomous shipping, inland waterway transport, and sustainable logistics solutions. Current projects: PATH2ZERO (Zero-Emission Inland Shipping), AUTOBarge (European Training Network), READINESS (Adaptable Ship Designs), and NOVIMOVE (Innovative Freight Transport). Key research areas: control systems, vessel dynamics, optimization, collision avoidance algorithms, and energy-efficient marine technologies. His editorial roles include contributions to Springer publications and Lecture Notes in Computer Science . Collaborations highlight expertise in integrating automated vehicles with conventional transport systems and advancing resilient inland shipping frameworks.

• Plant Development
• Computational Biology
• Systems Biology
• +6 more

Dr. Monica Garcia Gomez is an Assistant Professor at the Faculty of Science , Utrecht University , affiliated with the Theoretical Biology group. Her research integrates computational modeling and experimental approaches to study plant development, focusing on root regeneration, stem cell dynamics, and responses to environmental stress. University: Utrecht University Department: Theoretical Biology Her work spans disciplines such as Systems Biology , Computational Biology , and Stem Cell Research , with a particular emphasis on Arabidopsis thaliana as a model organism. Recent publications highlight her contributions to understanding transcriptional stochasticity in stem cell differentiation, multiscale mechanisms in root regeneration, and the integration of mechanistic models with machine learning. Her research often employs gene regulatory network models , phytohormone interactions , and multiscale modeling to dissect developmental processes. She collaborates with groups like the Experimental and Computational Plant Development (IEB) and contributes to translational plant biology through the PlantXR program.

• Evolutionary Biology
• Bacterial Physiology
• Mechanisms of Gene Regulation and Transcription Networks
• +7 more

Rutger Hermsen is an Assistant Professor in the Science Biology faculty at Utrecht University , leading the Hermsen lab under the Theoretical Biology and Bioinformatics group and the Institute for Biodynamics & Biocomplexity. His work focuses on mathematical and computational models of biological systems, particularly bacterial physiology and evolutionary biology. Email : r.hermsen@uu.nl Contact : Hugo R. Kruytgebouw, Padualaan 8, Kamer N602, 3584 CH Utrecht Research Interests span evolutionary theory, population dynamics, gene regulation, and bacterial physiology. He develops models to study eco-evolutionary interactions, such as antibiotic resistance development, and applies multiscale frameworks to analyze selection pressures in spatially structured populations. His work bridges theoretical biology with bioinformatics and computational methods. Publications highlight his expertise in analyzing spatial selection mechanisms (2024), cellular regulatory networks (2023), and evolutionary transitions (2022). These studies integrate mathematical models with experimental data to address fundamental biological questions. Supervision includes Bryan Verhoef, whose NWO-funded PhD project explores antibiotic resistance modeling, and Charlotte de Vries, a senior postdoc studying aging's role in evolutionary transitions. Collaborations extend to the Tans group at AMOLF for bacterial growth experiments. Laboratory combines computational approaches with interdisciplinary research, focusing on bacterial homeostasis, multilevel selection, and eco-evolutionary demography. The lab contributes to understanding cellular regulatory mechanisms and evolutionary processes through innovative theoretical frameworks.

• Plant Development
• Shade Avoidance
• Phytochrome Signaling
• +5 more

Diederik Keuskamp is an Assistant Professor in the Experimental and Computational Plant Development group within the Department of Biology at the Faculty of Science, Utrecht University. He also serves as the Phytotron Manager, overseeing critical plant growth facilities for experimental research. His academic appointments show progression from PhD candidate to his current faculty position with additional management responsibilities. Dr. Keuskamp completed his PhD at Plant Ecophysiology, Utrecht University (2006-2011), with a thesis titled 'Shade Avoidance, How auxin controls photoreceptor-mediated shoot elongation.' His academic journey includes postdoctoral positions at Soil Quality (WUR, 2013-2015) and Plant Ecophysiology (UU, 2015-2018), and lecturing at the Institute for Interdisciplinary Studies (UvA, 2011-2013). Keuskamp's research focuses on plant responses to light conditions, particularly shade avoidance mechanisms. His work integrates molecular, physiological, and computational approaches to understand how plants perceive competing light environments. Key areas include phytochrome and cryptochrome signaling pathways, auxin transport dynamics, and hormonal integration during plant development. His fingerprint analysis reveals strong connections to phytochrome biology (100%), shade avoidance (87%), and far-red light responses (77%), indicating a highly specialized research program with ecological relevance. Analysis of Dr. Keuskamp's publication record shows consistent focus on plant photobiology with progression from molecular mechanisms to ecological implications. His early work established foundations in auxin transport (2010) and hormone interactions (2011), while recent publications (2016-2018) demonstrate expansion into computational approaches and wild plant studies, revealing an evolving research program that bridges molecular biology with ecological contexts. As Phytotron Manager since 2018, Dr. Keuskamp provides essential infrastructure for plant growth experiments, supporting numerous research projects requiring controlled environmental conditions. His academic service includes invited talks on shade avoidance mechanisms dating back to 2009, demonstrating sustained expertise in his field.

• Life Sciences
• Biology
• Environmental Biology
• +3 more

Fiona Krammer is a Visiting Researcher (Researcher and Teacher) affiliated with the School of Science and Department of Biology at Utrecht University. Research Themes: Life Sciences (LS) Her research focuses on interdisciplinary integration of experimental and computational approaches in plant development, environmental biology, and related subfields within the Life Sciences domain.

• Algorithms
• Computational Geometry
• Discrete Mathematics
• +4 more

Dr. Maarten Löffler is an Assistant Professor at Utrecht University's Information and Computing Sciences department within the Science faculty. He is also currently serving as a Visiting Professor at Tulane University. His research bridges theoretical computer science with practical applications in geometric algorithms, game research, and data science. Education : PhD in Geometric Uncertainty (Utrecht University), Post-Doc in Social Network Analysis (University of California, Irvine) His expertise lies in computational geometry, discrete mathematics, and algorithm design, with applications in graph drawing and geogaming. He contributes to the Game and Media Technology and Informatica study programs, teaching courses like Three-Dimensional Modeling. Contact: Buys Ballotgebouw, Princetonplein 5, Room BBL411, 3584 CC Utrecht, Netherlands. Phone: +31 30 253 6759.

• Data Stream Mining
• Data Cleaning
• Machine Learning Explainability
• +7 more

Dr. A.A.A. Qahtan is an Assistant Professor in the Data Intensive Systems research group within the Department of Information and Computing Sciences at Utrecht University's Faculty of Science. His academic appointment focuses on advancing research and education in data-intensive computing with particular expertise in data stream mining, data cleaning, and explainability of machine learning techniques. Dr. Qahtan completed his PhD studies at KAUST (King Abdullah University of Science and Technology) under the supervision of Xiangliang Zhang and Soujin Wang. Prior to joining Utrecht University, he worked as a postdoc at QCRI (Qatar Computing Research Institute) where he developed pattern functional dependencies (PFDs) for data cleaning. His research spans several critical areas in data science: Data Stream Mining and Real-time Processing Data Cleaning and Quality Assessment Pattern Recognition and Functional Dependencies Outlier and Anomaly Detection Concept Drift Detection in Streaming Data Fairness in Machine Learning Systems Missing Data Imputation Techniques Dr. Qahtan's publication record demonstrates consistent contributions to top-tier venues including PVLDB, KDD, ICDE, and SIGMOD. His recent work shows a progression from foundational data cleaning techniques to advanced applications in categorical data analysis, fairness in AI, and cryptocurrency market analysis. His research bridges theoretical foundations with practical applications across multiple domains. Dr. Qahtan actively contributes to academic education at Utrecht University, teaching courses including Data Analytics, Data Science and Society, Data Wrangling and Data Analysis, and Databases across multiple academic years from 2019 to 2024.

• Service-Oriented Computing
• Business Process Management
• Scientific Workflows
• +4 more

D. (Dimka) Karastoyanova is a Professor of Information Systems at the University of Groningen , Faculty of Science and Engineering, Computer Science Department. She leads the Information Systems Group and serves as vice-chair of the Bernoulli Institute Board since 2024. Previously, she was Head of the Computer Science Department (2020-2024) and a member of the Informatics Europe Board since 2023. Dimka's research focuses on data-driven, service-based process automation for cross-organizational collaboration, emphasizing runtime adaptability, security, and sustainability . Her work spans applications in manufacturing, logistics, healthcare, and eScience , integrating Scientific Workflows, Cloud Computing, and Middleware Systems to enhance process flexibility. Her scientific contributions include 15+ publications on topics like Choreography Lifecycle Management, BPEL Adaptation, and Cloud Migration Frameworks , reflecting her expertise in Service-Oriented Computing, Workflow Technologies, and Distributed Systems . She received the Rosalind Franklin Fellowship and has served on program committees for IEEE, ICWS, and BPM conferences . Dimka holds a PhD in Computer Science (TU Darmstadt, 2006), an MSc in Computational Engineering (University of Erlangen-Nuremberg), and MSc/BSc in Industrial Engineering (Technical University of Sofia). She previously held roles as Associate Professor of Data Science at KLU Hamburg and Senior Researcher at Hasso Plattner Institute, University of Potsdam.

• Healthcare Design
• Ergonomics
• Sustainable Medical Device Design
• +4 more

A. Albayrak is a researcher at the Human Factors Department , College of Industrial Design Engineering , Delft University of Technology. Their work focuses on improving healthcare systems through user-centered design and sustainability initiatives, particularly in pediatric hematology and intensive care settings.

• Information Systems
• Information Technology
• Benefits Management
• +4 more

Philip Powell serves as a Professor within the Innovation & Organisation department at the Faculty of Economics and Business. His academic focus spans information systems, technology management, and SME infrastructure development with significant contributions to benefits realization frameworks. Research expertise centers on Information Systems Practice , Benefits Management , and Cost-Benefit Analysis in engineering SMEs. Key investigations examine lifecycle cost management, online auction motivations, and infrastructure adoption challenges through practitioner-oriented field studies emphasizing methodological subjectivity and stakeholder alignment. Publication trends reveal consistent focus on bridging academic theory with practical implementation, particularly in resource-constrained environments. His work demonstrates strong interdisciplinary connections between information systems, organizational behavior, and engineering management. 31 Scopus citations for lifecycle benefits management research 19 citations for SME infrastructure studies 7 citations for online auction behavior analysis Active supervision includes PhD candidates in information systems implementation, with collaborative projects examining sustainable technology adoption in European engineering firms. Current research explores gendered metaphors in IT cost-benefit frameworks and longitudinal seller behavior in digital marketplaces.

Amineh GhorbaniView profile

Associate Professor

• Institutional Analysis
• Climate Change Mitigation and Adaptation
• Collective Action
• +5 more

Amineh Ghorbani serves as Associate Professor of Institutional Modelling and Analysis within the Systems Engineering group at Delft University of Technology's Faculty of Technology, Policy and Management. She maintains active affiliations with the Institutional Grammar Research Initiative, Institutions for Collective Action, and the Ostrom Workshop, demonstrating deep integration within institutional analysis networks. Her research centers on institutional transformation during climate change, specifically examining how collective action frameworks like community energy systems and urban commons enhance climate resilience. Methodologically pioneering, she developed the MAIA framework (Modelling Agent-systems using Institutional Analysis) and Institutional Network Analysis techniques to map interconnections between institutional structures. This work bridges computational modeling with qualitative social science approaches to address complex environmental challenges. Recent publications reveal consistent focus on energy transition governance (particularly hydrogen systems in the Netherlands), climate adaptation barriers in developing contexts (waste management in India), and value-driven modeling during crises (COVID-19 response). Her work consistently applies agent-based modeling and network analysis to dissect policy implementation challenges across diverse socio-technical systems. Scientific Awards: No specific awards were documented in the provided source material. Dr. Ghorbani has supervised 5 academic works according to her profile metrics, though specific advisee details remain undisclosed. Her research appears institutionally supported through Delft University affiliations and collaborative initiatives rather than individually attributed grants in the available documentation. She actively contributes to three major research collectives: the Institutional Grammar Research Initiative advancing analytical frameworks for institutional analysis; Institutions for Collective Action focusing on governance solutions for shared resources; and the Ostrom Workshop continuing Elinor Ostrom's legacy in studying self-governance systems for common-pool resources.

Roland SchmehlView profile

Associate Professor

• Wind Energy
• Aerospace Engineering
• Airborne Wind Energy Systems
• +4 more

Roland Schmehl is an Associate Professor at the Department of Aerospace Engineering, Delft University of Technology (TU Delft). He is a founding member of Airborne Wind Europe (since 2019) and serves on the advisory board of Kitepower (since 2016). His work focuses on airborne wind energy (AWE) systems, including their application in Martian habitats, noise analysis, and aero-structural modeling. Key Research Areas: Wind energy innovation, aerospace engineering, Martian habitat power systems, and robotics-assisted design. The 15 most recent articles highlight his contributions to AWE system design, flight pattern optimization, noise annoyance studies, and extraterrestrial energy applications. His scientific awards include the 2021 Innovation stamps and the 2021 Rhizome project prize for off-Earth habitat development. Schmehl’s projects include MERIDIONAL (multi-scale wind farm design), Rhizome (autonomous Mars habitats), and EFRO (unmanned systems research). He has led editorial activities for journals like Wind Energy Science and Energies and participated in international conferences.