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Jorien VonkView profile

Professor

• Biogeochemistry
• Hydrology
• Permafrost Studies
• +4 more

Dr. Jorien Vonk is a Full Professor at the Faculty of Science, Department of Earth and Climate at Vrije Universiteit Amsterdam. Her research focuses on Arctic ecosystems, permafrost dynamics, and climate change impacts. She specializes in biogeochemistry and hydrology, investigating how Arctic freshwater and coastal systems respond to rapid environmental changes. Her research interests include permafrost thaw, greenhouse gas emissions, and lateral carbon fluxes in Arctic regions. Notable contributions include studies on riverine carbon transport, pan-Arctic catchment databases, and the role of small watersheds in land-ocean fluxes. Dr. Vonk teaches courses such as Biological Oceanography and Catchment Biogeochemistry. She has supervised five PhD theses and contributed to over 90 peer-reviewed articles. Her work aligns with UN Sustainable Development Goals related to climate action and protecting terrestrial and marine ecosystems.

• Computational Geometry
• Algorithms
• Graph Theory
• +3 more

Marcel J.M. Roeloffzen serves as University Lecturer in the Applied Geometric Algorithms group within the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e). His prior academic appointments include Assistant Professor roles at Japan's National Institute of Informatics (2016-2018) and Tohoku University (2014-2015), plus a Postdoc position at the National Institute of Informatics (2015-2016). His research centers on computational geometry and algorithm design, with specialized expertise in geometric data structures under uncertainty, dynamic graph algorithms, and spatial data processing. Key contributions address Fréchet distance computations for uncertain curves, physically constrained map matching, and dynamic graph coloring optimization. His methodological approach combines theoretical analysis with experimental validation of algorithmic performance. Analysis of recent publications (2022-2024) reveals consistent focus on developing practical geometric algorithms that handle real-world constraints like input uncertainty and dynamic updates. His work bridges theoretical computer science with applications in geographic information systems and data analysis, emphasizing both computational efficiency and physical plausibility. Roeloffzen teaches core computer science courses including Advanced Algorithms, Data Structures, Discrete Structures, and Logic and Set Theory. He has supervised 18 graduate students and maintains active collaboration within the computational geometry research community. His research operates within TU/e's Applied Geometric Algorithms group, which specializes in developing algorithmic solutions for geometric data processing challenges across scientific and industrial domains.

Odysseas PapapetrouView profile

Assistant Professor

• Streaming Data Processing
• Big Data Management
• Approximation Algorithms
• +5 more

Odysseas Papapetrou serves as Assistant Professor in the Information Systems group within the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e). His academic journey spans multiple prestigious institutions across Europe, establishing him as a significant contributor to the field of data management and stream processing. Academic Credentials: BSc in Computer Science from University of Cyprus MSc in Advanced Information Technologies from University of Cyprus MSc in Computer Science from University of Saarland and Max Planck Institute (2005) PhD in Computer Science from University of Hannover and L3S Research Center (2011) Dr. Papapetrou's research focuses on cutting-edge challenges in data-intensive systems, with particular emphasis on real-time processing of streaming data. His work develops approximation algorithms for distributed Big Data management, distributed data streams processing, and sketching/summarization techniques. He has made significant contributions to cloud computing aspects including cloud federations, cloud-based stream processing, and privacy-preserving query execution. His research bridges theoretical foundations with practical implementations, addressing the growing need for efficient data processing in high-velocity environments. Analysis of his recent publications reveals a consistent focus on multivariate data analysis, with increasing specialization in spatial data streams and advanced similarity search techniques. His work demonstrates a progression from foundational stream processing to increasingly complex multivariate scenarios, reflecting the evolving challenges in Big Data analytics. The publications show strong collaboration patterns with researchers across Europe, particularly in the Netherlands and Switzerland. Dr. Papapetrou actively contributes to the academic community through service roles including frequent participation as PC member and reviewer for top-tier data management conferences and journals such as TKDE and VLDB Journal. He serves as a grants evaluator for the Hong Kong Research Grants Council (RCG) and other funding schemes. His current educational activities at TU/e include teaching Capita Selecta Databases, Seminar Datamanagement, Data-intensive Systems and Applications, Big Data Management, and Datamodeling and Databases. He currently leads research within the Database Group at TU/e, focusing on developing novel techniques for stream processing and Big Data management. His work has received funding from the European Union's Horizon Europe research and innovation program STELAR under grant agreement No. 101070122, supporting his research on advanced data stream processing techniques.

Aleksandr PopovView profile

Researcher

• Computational Geometry
• Algorithms
• Trajectory Analysis
• +2 more

Aleksandr Popov is a researcher in computational geometry currently affiliated with the ALGO cluster at Eindhoven University of Technology. He completed his PhD in 2023 focusing on algorithms for uncertain trajectories and continues active research in this domain. Education: PhD in Algorithms for Imprecise Trajectories, Eindhoven University of Technology, 2023 Master's in Similarity of Uncertain Trajectories, Eindhoven University of Technology, 2019 Dr. Popov's research centers on computational geometry with emphasis on trajectory analysis under uncertainty . His work develops algorithms to quantify trajectory similarity using Fréchet distance, simplify complex paths while preserving essential features, and handle imprecise spatial data. His research bridges theoretical computer science with practical applications in movement pattern analysis and spatial databases, addressing fundamental challenges in how uncertainty affects geometric computations. Analysis of his publication record reveals a systematic progression from theoretical foundations of uncertain curve analysis to more applied problems like map-matching and trajectory clustering. His work consistently explores how measurement uncertainty impacts geometric algorithms, developing specialized methods that maintain computational efficiency while accounting for data imprecision. A distinctive feature of his research is the adaptation of classical geometric measures like Fréchet distance to probabilistic and uncertain settings. Dr. Popov has substantial teaching experience, having assisted with bachelor courses on data structures and algorithms (2021-2023), supported master seminars on algorithms (2019-2021), and served as a student assistant for various courses during his bachelor and master studies (2014-2019). He also contributed as an editorial assistant for Dagstuhl Seminar reports on computational geometry, demonstrating engagement with the broader academic community. As an active member of the ALGO cluster at Eindhoven University of Technology, Dr. Popov collaborates with leading researchers including Kevin Buchin, Maarten Löffler, and Marcel Roeloffzen, contributing to a vibrant research environment focused on theoretical and applied aspects of algorithm design for geometric problems.

Boris ČuleView profile

Assistant Professor

• Data Mining
• Machine Learning
• Artificial Intelligence
• +6 more

Dr. Boris Čule is an Assistant Professor at Tilburg University's Department of Cognitive Science and Artificial Intelligence within the Tilburg School of Humanities and Digital Sciences. He holds a Ph.D. in Computer Science from the University of Antwerp, followed by post-doctoral research there. His work focuses on data mining, machine learning, and AI, particularly sequential/temporal data, including pattern mining, anomaly detection, and recommender systems. Education: Ph.D. in Computer Science, University of Antwerp Research Interests: Sequential pattern mining, session-based recommendations, time series analysis, subspace clustering, spatial pattern discovery, and applications in environmental and economic forecasting. His contributions include novel algorithms for evaluating sequential patterns, sequence classification, and anomaly detection in dynamic systems. Publications Trends: Recent work emphasizes real-world applications like UAV path planning optimization (2024), news recommendation systems (2023-2024), and employment market forecasting (2023). He explores interdisciplinary challenges such as facial action analysis in gaming (2022) and wind farm response to storms (2021). Advising/Grants: While specific grant details are not listed, his prolific publication record suggests active research projects. Courses taught include Big Data analysis and cognitive science modules.

• Artificial Intelligence
• Computer Science
• Digital Archaeology
• +4 more

Milco Wansleeben is a Lecturer at the Faculty of Archaeology, Leiden University , specializing in digital archaeology and statistical analysis. He has been affiliated with Leiden University since 1987. Educational Background: B.A. in Physical Geography, Utrecht University M.A. in Prehistory, Leiden University His research focuses on integrating GIS , artificial intelligence , and data science into archaeological workflows, particularly for spatial analysis, predictive modeling, and digital archiving. He leads the EXALT project, which explores computational methods for archaeological literature retrieval. Scientific Contributions: Developed ArcheoBERTje , a BERT model for named entity recognition in Dutch archaeological texts (2022) Collaborated with DANS on the EDNA-project to standardize digital archiving in archaeology Contributed to national projects like ArchWEB, Archeonet, and the Archis database Teaching: Instructs courses on GIS, statistics, spatial analysis, databases, and predictive modeling, combining theoretical and practical approaches for archaeological applications. Projects & Collaborations: Served as IT coordinator for archaeological excavations, notably the Meuse Valley Project studying the transition from hunter-gatherers to farmers using GIS.

Rolf de ByView profile

Associate Professor

• Spatial Databases
• GIS Technology
• Spatial Data Infrastructure (SDI)
• +7 more

Rolf de By is an Associate Professor at the GeoInformation Processing (GIP) Department within ITC, University of Twente, with a career spanning over two decades. His work bridges spatial databases, GIS technology, and geoinformatics to enhance system design and implementation for spatial data sharing and analysis. Focus areas include Spatial Data Infrastructure (SDI), biodiversity databases, moving object data, and vague spatial objects. He leads the SDI - Technology theme, collaborating with experts in Web GIS, geoservices, and architecture. His teaching portfolio includes modules on databases, spatial data modeling, and research skills for geoinformatics and land administration programs. Research trends highlight his contributions to geospatial applications in food security, smallholder agriculture, land registration, and ethical AI. He integrates machine learning (e.g., convolutional networks) and IoT technologies into agricultural monitoring systems, emphasizing data-driven solutions for developing economies. Projects span Mongolia and Tanzania, addressing environmental and societal challenges through SDI. As a portfolio manager for the GIP department, de By drives external project acquisition and proposal writing. His academic legacy includes co-authoring foundational textbooks like Principles of Geographic Information Systems , shaping geoinformatics education globally.

Jasper van der KempView profile

Assistant Professor

• Criminology
• Forensic Psychology
• Geographical Offender Profiling
• +7 more

Jasper van der Kemp is an Assistant Professor at the Vrije Universiteit Amsterdam's Faculty of Law, within the Criminal Law & Criminology department. He is also affiliated with the Amsterdam Laboratory for Legal Psychology (ALLP) and Empirical and Normative Studies. His research focuses on geographical offender profiling, serial offenders, and crime linkage analysis, with notable contributions to cold case investigations and wrongful conviction studies through Project Gerede Twijfel. He holds a psychology background and has been with VU Amsterdam since 2006. Education: Trained as a psychologist, conducted research at Netherlands Institute for the Study of Crime and Law Enforcement (NSCR) from 2001-2006. PhD research centered on offenders' geographical patterns and criminal careers. Research Interests: Specializes in spatial criminology, offender behavior analysis, and investigative psychology. Key areas include journeys-to-crime, modus operandi analysis, and crime scene behavior interpretation. Active in crime linkage research through the Crime Linkage International Network (C-LINK). Teaching: Coordinates courses in forensic criminology, crime analysis, and spatial criminology. Involves students in real-world projects like cold case analysis. Awards: Recipient of the Wiley Poster Prize (2005) from the European Association of Psychology and Law. Labs/Teams: Member of Amsterdam Laboratory for Legal Psychology (ALLP) and coordinates interdisciplinary cold case research initiatives.

• Fish Ecology
• Aquatic Biology
• Freshwater Ecology
• +8 more

Donné Mathijssen is a PhD candidate and fish ecologist specializing in fish migration at Wageningen University & Research's Aquaculture and Fisheries Group (AFI). His research focuses on understanding fish migration patterns and habitat connectivity, particularly in restored river systems like the Westerwoldse Aa in the Netherlands. His work contributes to developing cost-effective nature restoration guidelines for fragmented river ecosystems. As part of the 'Ruimbaan voor Vissen 2' project, he investigates bottlenecks in migration routes and life cycles of diadromous and potamodromous species. His expertise spans freshwater and marine ecology, telemetry, geospatial analysis, and systems ecology. He collaborates with organizations like Dam Removal Europe (DRAH) and has advised on the Netherlands' commitments to the European Biodiversity Strategy 2030. Mathijssen's research combines fieldwork, remote sensing, and paleoecological data to address environmental challenges. His recent work includes studies on peatland carbon dynamics, Holocene climate interactions, and the impacts of restoration efforts on river ecosystems. He is supervised by Dr. Ir. Leo Nagelkerke and contributes to interdisciplinary projects bridging ecology, policy, and engineering. Publications highlight his work on river restoration, peatland carbon sequestration, and policy frameworks for biodiversity conservation. His findings aim to inform sustainable management strategies for aquatic ecosystems globally.

C.A. León SánchezView profile

Researcher

• Urban Data Science
• 3D City Modeling
• Urban Energy
• +3 more

C.A. León Sánchez is a researcher at Delft University of Technology's Faculty of Architecture and the Built Environment specializing in Urban Data Science. He recently completed his PhD dissertation on semantic 3D city models for urban energy applications in the Netherlands, establishing his expertise in geospatial analysis and sustainable urban systems. His research integrates semantic 3D city modeling with energy engineering to advance solar potential computation and urban energy planning. Key contributions include developing open-source geospatial tools like the 3DCityDB-Tools Plug-in for QGIS and high-resolution solar modeling frameworks that leverage CityGML standards for urban environments. León Sánchez's publication trends reveal a strong focus on practical urban applications of geospatial technologies, with significant work in solar energy optimization and cross-disciplinary extensions into agricultural remote sensing. His methodologies bridge semantic web technologies, drone-based data acquisition, and computational modeling for sustainable city development. His scientific recognition includes: Best Young Researcher Award at the 9th International Smart Data and Smart Cities conference 2025 As an active contributor to the TU Delft 3D geoinformation group (tudelft3d), he maintains critical open-source infrastructure including the 3DCityDB-Tools ecosystem and CityGML-based energy modeling testbeds, fostering international collaboration in urban data science.

• Soil Science
• Environmental Science
• Digital Soil Mapping
• +3 more

Kees Teuling is a Researcher at Wageningen University & Research , specializing in Soil, Water and Land Use . His work focuses on Digital Soil Mapping , Soil Health , and Environmental Monitoring in both urban and agricultural contexts. Research Interests Development of high-resolution soil maps (e.g., BIS-4D dataset) for accurate environmental modeling Integration of sensor data in soil property analysis, including gamma radiation-based bulk density sensors Assessment of soil health in urban ecosystems, particularly in Amsterdam Hydrophysical data updating for catchment management (e.g., Raam catchment projects) Recent Publications highlight his expertise in downscaling soil carbon/clay maps, urban soil health metrics, and collaboration with Dutch water authorities and research teams. He actively contributes to fieldwork and data infrastructure projects.

• Digital Soil Mapping
• Tropical Soils
• Soil Fertility
• +3 more

Bas Kempen is a PE&RC Research Associate at ISRIC - World Soil Information , part of Wageningen University & Research. His work focuses on Digital Soil Mapping , Tropical Soils , and Machine Learning Applications in soil science. He leads projects like Validatie BVU and contributes to SoilGrids , a global soil data infrastructure initiative. PhD candidate in Digital Soil Mapping (2006-2011) Co-promotor for Mathematical Modeling projects Research highlights include: Transfer functions for nutrient modeling in tropical regions Bayesian statistics for soil health data collection Spatial yield predictions using QUEFTS in Sub-Saharan Africa Development of SoilGrids 2.0 with quantified uncertainty His collaborations span Rwanda, Kenya, India, and Malawi. As Project Leader for BVU validation (2010-2014), he established standardized soil data exchange protocols.

• Economic History
• Medieval History
• Urbanization
• +5 more

Dr. ir. Eltjo Buringh is a Researcher at the Department of History and Art History, Economic and Social History within the School of Humanities at Utrecht University . His work focuses on quantitative analysis of historical economic development in Europe, North Africa, and the Middle East from Classic Antiquity to 1800 CE. Research Areas: Medieval manuscript production, urbanization patterns, transportation systems, institutional economics, and cliometric analysis Key Collaborations: Work with scholars like Bas van Bavel, Jane Whittle, and Jan Luiten van Zanden Dr. Buringh applies cliodynamics to explain historical economic mechanisms through spatial and temporal distributions. His recent publications include analyses of medieval capital goods, Roman market economies, and urban development patterns.

• Agriculture
• Food and Soils
• Data Science
• +6 more

Dr. Florian J. Ellsäßer is an Assistant Professor in the Department of Natural Resources. His research focuses on climate science, environmental monitoring, and agricultural sustainability. He specializes in using UAV-based remote sensing, machine learning, and geospatial analysis to study evapotranspiration patterns, tropical ecosystems, and crop productivity. His work contributes to UN Sustainable Development Goals related to climate action, food security, and biodiversity conservation. Notable projects include the Resilient Approaches in Natural Geland Ecosystems initiative (2024–2028), exploring mitigation strategies for environmental challenges. He has published extensively on compound weather events, UAV applications in precision agriculture, and stakeholder-driven water-energy-food nexus solutions in Jordan. His datasets on German crop yields and tropical rainforest dynamics are widely utilized in academic research. Ellsäßer's methodological contributions include developing the QWaterModel QGIS plugin for evapotranspiration prediction and integrating thermography with 3D modeling for ecological studies. His interdisciplinary approach bridges environmental science, data science, and policy analysis to address global sustainability challenges.

P.J.M. van OosteromView profile

Professor

• GIS Technology
• Spatial Data Infrastructure
• 3D Modeling
• +4 more

Prof.dr.ir. P.J.M. van Oosterom is a Professor of GIS Technology at the Faculty of Architecture and the Built Environment, Delft University of Technology. His research focuses on spatial information infrastructure, emphasizing durable geo-data sharing and reuse through standardized datasets and services. Key projects include the Varioscale geo-information concept and Massive Point Clouds , leveraging eScience techniques. He co-developed the ISO 19152 land administration domain model with the Dutch cadastre. Van Oosterom holds patents in geospatial innovation and chairs the International Federation of Surveyors (FIG) Working Group on 3D Cadastre. He is Scientific Director of the Wuhan University-TU Delft Joint Research Centre on Spatial Information. Research Interests: Spatial data infrastructure, 3D geometry validation, vario-scale modeling, real-time GIS applications, and geoinformation policy. His work integrates technology development with societal impact, such as contributions to Oracle Spatial databases and global standards. Awards: Oracle Spatial Award, Dutch Geo-Innovation, and patents in localization and geo-information scaling. Leadership: Editorial board member of multiple journals and conference program committees. Projects: Varioscale data structures, 3D cadastre models, and international collaborations in geospatial innovation.