جست‌وجوی استاد و پژوهشگر

Sietze Norderمشاهده پروفایل

استادیار

• Biogeography
• Biodiversity Conservation
• Social-Ecological Systems
• +۵ مورد دیگر

Dr. Sietze Norder is an Assistant Professor at the Copernicus Institute of Sustainable Development, Utrecht University, specializing in biogeography and sustainability science. His research examines biodiversity patterns influenced by topography, climate, and socio-cultural factors, with a focus on islands as model systems. He holds a PhD in Island Biogeography from the University of Lisbon (2020). Research interests include biocultural diversity, human-nature relationships, and spatial analysis using GIS and agent-based modeling. He collaborates across disciplines to address global challenges like biodiversity loss and climate change. Current projects include NWO-funded studies on linguistic diversity in South America and the interplay between biophysical and social factors in cultural evolution. Teaching responsibilities include courses in Global Sustainability Science and Sustainable Development at Utrecht University. He authored the popular science book The World in Miniature and a children’s book on island ecosystems. His work emphasizes sustainability transitions and 'islands of sustainability' as models for systemic change. Key contributions include developing R packages for spatio-temporal analysis (TABS, glottospace) and global datasets on historical coastlines. He advocates for a relational 'biocultural geography' approach to move beyond anthropocentric perspectives in biodiversity studies.

• Agricultural Engineering
• Greenhouse Climate Modeling
• Irrigation Management
• +۳ مورد دیگر

Simon van Mourik is an Assistant Professor in Agricultural Biosystems Engineering at Wageningen University & Research, specializing in precision agriculture and systems biology. His research focuses on greenhouse climate modeling, energy efficiency, irrigation management, and livestock health monitoring. He leads and contributes to projects like GreenLight (open-source greenhouse modeling) and Virtual Tomato Crops, emphasizing sustainability and technological innovation. His work spans interdisciplinary topics, including the impact of light on plant physiology, solar energy optimization, and predictive modeling for agricultural systems. Key contributions include correcting earlier studies on dairy cow resilience and porcine disease outcomes, underscoring his commitment to rigorous scientific accuracy. He advises multiple PhD candidates in areas like sustainable dairy farming and climate control optimization. Recent articles highlight his expertise in precision agriculture, such as optimizing lettuce growth under LED lighting, predicting energy demand in greenhouses, and advancing digital twin applications in agronomy. His collaborative approach to open-source tools and data-driven solutions aims to transform agricultural practices globally.

• Software Engineering
• Machine Learning
• Precision Agriculture
• +۷ مورد دیگر

Önder Babur is an Assistant Professor in the Department of Information Technology at Eindhoven University of Technology. His research focuses on software engineering, machine learning applications, precision agriculture, and digital twin technologies. He has contributed to projects involving business process modeling, drone analytics, and energy market methodologies. Babur collaborates with institutions like Wageningen University & Research and has supervised PhD candidates in generative AI approaches and digital twin systems. His research interests span model analytics, clone detection, API usage analysis, and low-code platforms. Notable projects include an empirical study of business process models on GitHub and foundational work in digital twins for energy markets. Babur has co-developed datasets for drone imagery analysis and systematic reviews of food recommender systems. His work bridges theoretical software engineering advancements with practical applications in agriculture and energy systems. Advising PhD candidates include Gürkan Soykan (digital twins in energy markets) and Jeroen Doornbos (generative AI in drone analytics). Projects emphasize collaborative frameworks like SAMOS for model management and Apache Spark-based distributed analytics. Babur’s contributions span 45+ peer-reviewed publications and two active PhD supervisions.

• Self-Organization
• Vegetation Dynamics
• Coastal Wetlands
• +۵ مورد دیگر

Roeland van de Vijsel is an Assistant Professor in Hydrology and Environmental Hydraulics at Wageningen University & Research. His work focuses on self-organization in natural systems, particularly in coastal wetlands, tidal flats, and river deltas. He explores how vegetation, sediment dynamics, and stochastic processes interact to shape biogeomorphic patterns, with applications to climate change resilience and sea level rise adaptation. Active projects: Saltmarsh survival (2025–present), Ganges-Brahmaputra-Meghna Delta stability (2022–present) Key collaborations: A.J.F. Hoitink, T.J. Bouma, S. Temmerman, J. van de Koppel His research integrates field studies, laboratory experiments, and computational modeling to analyze critical transitions in environmental systems. Recent publications examine bimodal dune dynamics, vegetation-driven channel networks, and scale-invariant pattern quantification. He co-developed the SFERE software for simulating coastal ecosystem feedbacks. Van de Vijsel's work has been cited in peer-reviewed journals and popular media, emphasizing the role of self-organization in building climate-resilient landscapes. He serves as co-promotor for PhD candidates studying delta geology and coastal management.

• Hydrology
• Environmental Hydraulics
• Flood Forecasting
• +۳ مورد دیگر

Claudia Brauer is a Lecturer at Wageningen University & Research's Department of Hydrology and Environmental Hydraulics, within the Faculty of Science. Her research focuses on hydrological modeling, flood forecasting, and machine learning applications in environmental systems. She has contributed to projects in Thailand, the Netherlands, and Italy, emphasizing operational hydrological systems and catchment dynamics. Education: She holds a PhD from Wageningen University (2014) under Prof. R. Uijlenhoet and Dr. R. Teuling, focusing on parametric models for hydrological processes in catchments. Earlier degrees include a MSc and BSc in Civil Engineering (ir. title). Research interests span radar rainfall nowcasting, reservoir operation optimization, salt intrusion modeling in estuaries, and open-source hydrological tool development. She has co-developed the Wageningen Lowland Runoff Simulator (WALRUS) and contributed to the pysteps library for rainfall nowcasting. Recent work includes machine learning applications for real-time reservoir management in Thailand and LSTM-based salt intrusion forecasts in the Rhine-Meuse delta. She has supervised 4 PhD candidates, including ongoing projects on flood forecasting in Thailand and salt intrusion dynamics. Her research has led to over 50 publications in journals like Journal of Hydroinformatics and Hydrology and Earth System Sciences. She actively participates in international conferences and collaborates with institutions in Thailand, Italy, and across Europe.

• Wildlife Ecology
• Conservation Biology
• Camera Trap Technology
• +۷ مورد دیگر

Yorick Liefting is an Education/Research Officer at Wageningen University & Research , specializing in wildlife ecology and conservation. His work bridges ecological research with advanced camera trap technology, contributing to biodiversity monitoring in national parks and fragmented landscapes.

• Dynamic Meteorology
• Extratropical Cyclones
• Cyclone Clustering
• +۳ مورد دیگر

Chris Weijenborg is an Assistant Professor in dynamic meteorology at the Meteorology and Air Quality department of Wageningen University & Research. His research focuses on extratropical cyclones, particularly cyclone clustering and their links to moisture transport and extreme precipitation events. He coordinates the course 'Atmospheric Dynamics' and contributes to teaching 'Meteorology and Climate' and 'Atmospheric Practical'. Research interests include synoptic meteorology, baroclinic environments, and the role of diabatic heating in cyclone development. His work addresses climate variability, jet stream dynamics, and moisture tracking methodologies using models like WAM2layers. Recent studies investigate the global climatology of cyclone clustering and the origins of extreme precipitation events such as the 2021 Western Europe floods. Publications emphasize advancing moisture tracking techniques, analyzing cyclone-cluster formation mechanisms, and understanding climate-driven changes in atmospheric patterns. He collaborates on interdisciplinary projects combining climate models and hydrological data to enhance predictive capabilities for extreme weather events. No ancillary activities or awards are listed. His academic contributions center on advancing meteorological theory and applied climate research through innovative modeling approaches.

• Horticulture
• Plant Physiology
• Agricultural Engineering
• +۳ مورد دیگر

Anja Dieleman is a Researcher at Wageningen University & Research (PE&RC) specializing in LED lighting strategies, plant physiology, and sustainable greenhouse systems. Her work focuses on optimizing energy use through dynamic lighting solutions, autonomous crop management, and climate-smart agriculture. She leads major projects like AGROS II and the Masterplan Licht, aiming to reduce energy consumption and carbon emissions in horticulture. Key research interests include light spectrum effects on plant growth, autonomous greenhouse systems, and precision agriculture. She collaborates with industry partners like Signify to translate research into practical applications. Recent projects explore sensor-integrated lighting protocols, smart climate control, and AI-driven crop management. Dieleman has published over 350 outputs, including datasets on LED efficiency, lighting strategies for floriculture, and autonomous cultivation systems. Her work bridges academia and industry, addressing challenges in energy conservation, genetic diversity, and sustainable production. She actively engages in knowledge dissemination through workshops, media contributions, and international conferences. Current initiatives include developing decision-support systems for growers and advancing climate-neutral greenhouse practices. Her research emphasizes practical solutions for growers while advancing fundamental understanding of plant-environment interactions.

Paolo Paronمشاهده پروفایل

مدرس ارشد

• Remote Sensing
• Geomorphology
• Hydrology
• +۳ مورد دیگر

Paolo Paron is a Senior Lecturer in Earth Science and Remote Sensing at IHE Delft, specializing in geomorphological mapping, hydro-meteorological hazards, and low-cost remote sensing technologies. He leads Mapping and Remote Sensing activities within the River Basin Development chair group. His research focuses on open-source software applications, unmanned aerial systems (UAS), and structure-from-motion (SfM) techniques for river morphology and ecosystem service mapping. He has extensive field experience in developing countries including Kenya, Mozambique, and Ethiopia. Paron holds a MSc in Geology from the University of Roma3 (2000) and a PhD in Fluvial Geomorphology from the University of Chieti (2005). He edited two UN FAO atlases for Somalia and an Afghan digital atlas for NGOs, and chairs sessions at international conferences like EGU. He serves as Associate Editor for the Journal of Maps and Topic Editor for the ISPRS International Journal of Geo-Information . Key research areas include free/low-cost remote sensing data applications, sediment dynamics, and sustainable development in arid regions. His work involves 40+ countries across Africa and Asia, emphasizing humanitarian preparedness and environmental monitoring. Paron collaborates with global institutions like IAHR on drone technology and contributes to projects such as WiODER. His expertise bridges geoscience with practical field applications, addressing water resource challenges and disaster risk reduction in data-scarce regions.

• Psychometrics
• Statistics
• Behavioral Research
• +۳ مورد دیگر

Aljoscha Rimpler is affiliated with the Faculty of Behavioural and Social Sciences at the University of Groningen, specializing in Psychometrics and Statistics. His research focuses on statistical methodologies, ecological momentary assessment (EMA), and software development for clinical and behavioral research. He contributes to improving data analysis practices in psychological studies, particularly regarding interaction effects in regression models and the optimization of EMA data collection. Recent work includes the development of FRED, an open-access software tool for generating feedback reports from EMA datasets. His publications emphasize methodological rigor, practical software solutions, and enhancing participant engagement in longitudinal studies. Collaborations span international teams addressing mental health and behavioral science challenges. Rimpler's research has garnered attention, with his FRED software paper achieving 6 citations and extensive reader engagement on platforms like Mendeley and Bluesky. His work bridges statistical theory with applied clinical research, aiming to improve both data interpretation and real-world application in mental health settings.

• Political Communication
• Journalism Studies
• Digital Media
• +۳ مورد دیگر

Dr. Felicia Loecherbach is an Assistant Professor in Political Communication and Journalism at the Faculty of Social and Behavioural Sciences, University of Amsterdam. Her research focuses on digital media ecosystems, news consumption behaviors, and the ethical implications of data donation in algorithmic systems. She develops frameworks to analyze political communication and evaluates user agency in recommendation systems. Her work combines computational methods with sociological and psychological insights, addressing topics like annotation bias, media diversity, and the interplay between algorithms and user decision-making. She co-created tools such as the OSD2F open-source data donation framework and the INCA infrastructure for content analysis. Recent publications emphasize linking digital traces to survey data, exploring participant-centered behavioral research, and critiquing platform responsibilities in facilitating ethical data access. Her research bridges technical innovation with critical social science, advocating for transparency in algorithmic systems.

Sarah Hladíkováمشاهده پروفایل

پژوهشگر

• AI Ethics
• Technology Policy
• Public Policy
• +۳ مورد دیگر

Sarah Hladíková is a Researcher at the Department of Political Science and Public Administration , Faculty of Social Sciences and Humanities, Vrije Universiteit Amsterdam. Her work focuses on AI ethics, technology policy, and participatory governance frameworks. She contributes to the Multi-layered governance in EUrope and beyond (MLG) research group. Her research integrates technical developments (e.g., autonomous driving, open-source tools) with societal impacts, emphasizing public discourse and regulatory contestability. Recent projects address the EU Digital Markets Act's implications for generative AI and market fairness. She organized the Our Cloud: Bringing together Data Centre Activists and NGOs workshop (2024), fostering interdisciplinary dialogue on tech governance. Her publications emphasize ethical tool development and cross-sector collaboration in AI policy.

Hil G.E. Meijerمشاهده پروفایل

دانشیار

• Dynamical Systems
• Nonlinear Dynamics
• Mathematical Modelling
• +۷ مورد دیگر

Hil G.E. Meijer is an Associate Professor in the Department of Applied Mathematics at the University of Twente, Faculty of Electrical Engineering, Mathematics and Computer Science. He is also affiliated with the TechMed Centre, reflecting his interdisciplinary work in mathematics, artificial intelligence, and medical technology. He currently serves ad interim as Programme Director for Applied Mathematics and has chaired its Programme Committee from 2017 to 2023. PhD in Codimension 2 Bifurcations of Iterated Maps, Utrecht University (2006) Senior University Teaching Qualification (SUTQ), 2022 Basic University Teaching Qualification (UTQ), 2011 His research lies at the intersection of mathematical modelling, nonlinear dynamics, and clinical neuroscience . He focuses on dynamical systems theory applied to neural networks, epilepsy, brain stimulation, and ion dynamics under metabolic stress. His work contributes to UN Sustainable Development Goals in Health and Well-being and Education. He teaches courses in Differential Equations, Nonlinear Dynamics, and Mathematical Neuroscience, including the national Mastermath course. The recent publications show a strong trend toward biophysical modelling of neural systems , integration of AI with dynamical systems , and clinical translation in epilepsy and anesthesia. His work combines theoretical mathematics with data-driven and simulation-based approaches to understand brain function and dysfunction. First Prize DSWeb 2019 Contest – For contributions to dynamical systems software Onderwijsprijs 2017 BMT – Teaching excellence in Biomedical Technology Parel Honorary Award 2021 – Recognizing impactful interdisciplinary research in brain health Hil Meijer actively supervises BSc and MSc students, leads research projects in computational neuroscience, and collaborates with clinical teams. He has organized national workshops (NDNS+) and contributed to the development of tools like MatCont for bifurcation analysis. He is involved in strengthening project-based mathematical modelling in undergraduate education. His leadership in curriculum development and research supervision underscores his central role in both academic and clinical innovation.

• Meta-Analysis
• Body Mass
• Body Mass Index
• +۷ مورد دیگر

Marieke Welten is a Researcher in the Department of Medical Informatics at Erasmus University Medical Center. Her work focuses on large-scale epidemiological studies with particular emphasis on child health outcomes, growth patterns, and risk factor analysis across European birth cohorts. Her research interests center on meta-analysis methodologies, cohort study design, and the examination of body mass index trajectories from infancy through adolescence. She investigates how early-life factors influence long-term health outcomes including obesity, asthma disparities, and cognitive development. Her work often involves complex statistical modeling of large datasets spanning multiple European countries and institutions. Analysis of Welten's recent publications reveals a strong focus on federated data analysis approaches that maintain privacy while enabling collaborative research. Her work spans public health epidemiology, clinical informatics, and developmental health, with particular attention to social determinants of health and early-life interventions. She contributes significantly to methodological advancements in handling large-scale health data while addressing ethical considerations in data sharing. Welten actively collaborates across numerous European research institutions as evidenced by her involvement in multi-cohort studies involving tens of thousands of participants. Her technical contributions to platforms like DataSHIELD and MOLGENIS Armadillo demonstrate her commitment to developing robust infrastructure for secure, collaborative health research.

Anja Ernstمشاهده پروفایل

استادیار

• Statistics & Probability
• Intensive Longitudinal Data Analysis
• Statistical Modeling
• +۴ مورد دیگر

Dr. Anja Ernst is an Assistant Professor at the University of Groningen's Faculty of Behavioural and Social Sciences, affiliated with the Psychometrics & Statistics Department. She holds a PhD in Dynamic Clustering (2022) and focuses on statistical modeling for intensive longitudinal data, clustering methods, and software implementation. Her research includes developing latent class vector-autoregressive models and promoting open-source tools via GitHub and the Open Science Framework. Education: BSc Psychology (cum laude), Honours College Research Master in Psychometrics & Statistics (cum laude) PhD on Dynamic Clustering (supervised by Albers & Timmerman) Research Interests: Ernst's work centers on between-individual differences in longitudinal data, statistical software development, and improving statistical methodology adoption in empirical research. She emphasizes practical applications through freely available code and collaboration with researchers globally. Grants & Awards: Recipient of the NWO Research Talent grant supporting her PhD research. Active in promoting research transparency and open science practices. Teaching & Mentorship: Teaches Advanced Statistics and supervises multiple PhD students focusing on psychometrics and statistical techniques. Leads the Methodology shop supporting students and researchers in methodology design.