جست‌وجوی استاد و پژوهشگر

Christian Steglichمشاهده پروفایل

دانشیار

• Social Networks
• Stochastic Modelling
• Sociology
• +۵ مورد دیگر

Dr. Christian Steglich is an Associate Professor in the Department of Sociology at the University of Groningen's Faculty of Behavioural and Social Sciences. His research focuses on stochastic network modeling, social networks, and adolescent behavior, with particular emphasis on peer influence, friendship dynamics, and network co-evolution. He is part of the SIENA software development team for dynamic network analysis. Research Interests: Mathematical sociology and network dynamics Adolescent social networks and behavior Stochastic modeling and statistical inference Interorganizational networks and gender dynamics Missing data methodologies and network imputation Recent Articles: Focus on Chinese adolescents' friendship dynamics, networked solidarity economies, and longitudinal network behavior interactions. His work bridges theoretical modeling with empirical applications in education, health, and organizational contexts. Scientific Awards: William D. Richards Jr. Software Award (2017) 2013 Awards for prosocial relationships and child social development research Grants/Advising: Extensive ERC panel involvement and collaborations on youth behavior and network interventions. Supervised 7 research projects focusing on peer networks and academic outcomes. Labs/Teams: Active in interdisciplinary research teams at the University of Groningen, focusing on social network analysis methodologies and their applications in diverse fields.

• Development Economics
• Behavioral Economics
• Experimental Economics
• +۳ مورد دیگر

Francesco Cecchi is an Associate Professor in the Development Economics Group at Wageningen University & Research. His research focuses on development economics with a particular emphasis on behavioral and experimental approaches applied to microfinance, insurance, and risk mitigation in contexts of rural poverty. He has conducted fieldwork in Bolivia, Kenya, Ethiopia, Brazil, Liberia, Sierra Leone, Bangladesh, and Uganda. His expertise spans agricultural economics, development economics, behavioral economics, and experimental methods. Current projects address topics like cooperative roles in climate adaptation, microcredit effectiveness, and social capital's role in disaster risk reduction. Cecchi employs randomized controlled trials and lab-in-the-field experiments to evaluate interventions such as crop insurance innovations and digital financial tools in Kenya. Key research themes include understanding how contextual factors influence financial inclusion, insurance adoption, and gender disparities in earnings and resource allocation. His work bridges theoretical insights from behavioral economics with practical applications to enhance resilience among smallholder farmers and marginalized communities in developing regions.

Jelle Jollesمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Educational Psychology
• Developmental Psychology
• +۵ مورد دیگر

Prof. Jelle Jolles is a University Professor at the Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam. His research focuses on cognitive development in adolescents, neuroeducation, and the intersection of neuroscience with educational practices. He has led over 280 studies, including influential work on executive functions, physical activity's impact on cognition, and nutritional interventions in academic performance. He received the VU-Societal Impact Award (2011) for bridging neuroscience and education. Research Interests: Combining cognitive neuroscience with educational strategies, adolescent cognitive development, spatial reasoning, and the application of neuroimaging techniques. His work often explores how biological and environmental factors shape learning outcomes, particularly in school-aged populations. Key Achievements: Authored over 280 peer-reviewed articles, supervised 22 PhD theses, and contributed to policy discussions through media appearances (e.g., RTL 4 Journaal, Radio FunX). His studies on krill oil supplementation and physical activity interventions have had significant societal impact, informing educational and health policies. Grants & Awards: VU-Societal Impact Award (2011). Advising: Supervised 22 PhD students, focusing on topics like neuroeducation and developmental psychology. Actively collaborates with international research networks, emphasizing interdisciplinary approaches.

Bas van der Klaauwمشاهده پروفایل

استاد

• Empirical Microeconomics
• Public Policy Evaluation
• Labor Markets
• +۳ مورد دیگر

Prof. Bas van der Klaauw is a Full Professor of Policy Evaluation at Vrije Universiteit Amsterdam's School of Business and Economics and Director of the Tinbergen Institute, a joint research school with Erasmus University Rotterdam and University of Amsterdam. He holds an Economics PhD from VU Amsterdam and has held visiting roles at University of Pennsylvania and Johns Hopkins University. His research focuses on empirical microeconomics, public policy evaluation, labor markets, school choice, and intergenerational mobility, leveraging microeconometric methods for causal analysis. He has received prestigious grants including an ERC Starting Grant (2008) and NWO-VICI Grant (2016). Teaching includes Econometrics II and Applied Microeconometrics at the Tinbergen Institute, alongside undergraduate courses in Microeconomics and Mathematical Economics. Ancillary roles include advisory positions at Centraal Bureau voor de Statistiek, SEO Amsterdam Economics, and Rabobank. He co-leads projects on school allocation efficiency and labor market interventions, collaborating with institutions like IZA-Bonn and CEPR-London. His research output spans 129 publications, emphasizing policy evaluation and experimental methods. Notable works include analyses of school assignment mechanisms, medical education returns, and labor market speeddating experiments. He has supervised 11 PhD theses and contributed to policy debates via media commentary on school segregation, tuition fees, and job search policies. Key achievements include grants totaling €4M+, editorial roles at journals like the Journal of Applied Econometrics, and media outreach addressing societal impacts of education and labor policies. His work aligns with UN SDGs related to quality education and decent work.

• Public Health
• Epidemiology
• Artificial Intelligence
• +۷ مورد دیگر

Dr. Hüseyin Küçükali is a Researcher at the Institute for Risk Assessment Sciences (IRAS) within the Department of Population Health Sciences, Faculty of Veterinary Medicine, Utrecht University. His work integrates epidemiology, artificial intelligence, and systems thinking to innovate non-communicable disease prevention in urban environments, with emphasis on exposome research and healthy aging initiatives. Education PhD in Public Health, Istanbul University - Cerrahpasa MD (Medicine), Istanbul University - Cerrahpasa Research Focus Dr. Küçükali's expertise spans causal inference , exposome analysis , and AI-driven health behavior modeling , particularly examining urban environmental impacts on cognitive decline and tobacco use patterns. His methodology combines accelerometry , GPS tracking , and molecular data to map mechanistic pathways in aging populations, while leveraging large language models for public health surveillance in digital spaces. Publication Trends His 15 most recent publications reveal three dominant threads: (1) urban exposome effects on cognitive health using multi-sensor data integration, (2) AI applications for tobacco control through social media content analysis, and (3) Bayesian modeling of socioeconomic disease patterns. These works consistently bridge environmental epidemiology, data science, and policy-relevant public health interventions across international contexts including Türkiye, UK, and Ireland. Professional Engagement He actively contributes to the International Human Exposome Network (IHEN) and STAGE (Stay Healthy Through Ageing) projects while leading the Utrecht Exposome Hub. Previous roles include postdoctoral research at Queen's University Belfast on urban green spaces (GroundsWell project) and health promotion leadership in Istanbul's municipal health administration. He also created educational resources like the Turkish-language Video Glossary of Public Health Concepts.

• Sensory Science
• Food Perception
• Olfactory Function
• +۵ مورد دیگر

Dr. Sanne Boesveldt is an Associate Professor in Sensory Science and Eating Behaviour at Wageningen University & Research. Her research focuses on understanding the interplay between olfactory and gustatory perception, particularly how these senses influence food choice, eating behavior, and health outcomes. She leads projects investigating post-COVID olfactory dysfunction, the role of smell in food preferences, and the development of immersive VR technologies to study multisensory food experiences. Key research areas include: Olfactory and taste perception mechanisms Impact of sensory cues on food intake Long-term effects of chemosensory disorders Neurobiological basis of food preference Her work spans clinical, nutritional, and consumer behavior domains with notable contributions to understanding how sensory systems adapt to modern dietary environments. Current projects explore e-cigarette flavor impacts, odor priming effects on food choices, and the neuroanatomical correlates of fat perception. Dr. Boesveldt supervises 10+ PhD candidates and collaborates internationally on topics ranging from smell training efficacy to flavor chemistry of e-liquids. Recent studies highlight her expertise in translating sensory science into practical applications for healthcare and food industry contexts.

Daniel Valesinمشاهده پروفایل

دانشیار

• Interacting Particle Systems
• Percolation Theory
• Random Graphs

Daniel Valesin is an Associate Professor of Mathematics at the Johann Bernoulli Institute, University of Groningen, specializing in Interacting Particle Systems, Percolation Theory, and Random Graphs. His work bridges probability theory and statistical mechanics with applications in network science and epidemic modeling. His academic journey includes: B.Sc. from Fundação Getulio Vargas, Brazil (2000-2004) M.Sc. from Instituto de Matemática Pura e Aplicada, Brazil (2005-2007) Ph.D. from Ecole Polytechnique Fédérale de Lausanne, Switzerland (2007-2011) Post-doctoral fellowship at University of British Columbia, Canada (2011-2014) Valesin's research centers on stochastic processes on graphs , with particular emphasis on phase transitions in contact processes, percolation models, and voter dynamics. His theoretical frameworks address metastability, extinction times, and spatial correlations in complex networks, contributing to fundamental understanding of epidemic spread and critical phenomena. Analysis of his 15 most recent publications reveals consistent focus on contact process dynamics across diverse network structures (random graphs, trees, lattices) and percolation models with long-range interactions. Key trends include rigorous asymptotic analysis, metastability characterization, and exploration of how network topology influences phase transitions. His notable recognitions include: NWO Top Module 2 Grant for epidemic modeling on dynamic networks University of Groningen's Mathematics Teacher of the Year (2014-2015) Canadian Government Post-doctoral Fellowship (2011-2014) Valesin actively mentors doctoral researchers including Réka Szabó, Pedro Luis Barrios Pantoja (co-supervised with Milton Jara), Eric Ossami Endo (completed 2018), and Gabriel Leite Baptista da Silva. His NWO-funded project exemplifies his commitment to translating theoretical advances into network epidemic insights. Collaborations span an international network including Aernout van Enter, Thomas Mountford, and Jean-Christophe Mourrat.

• Cognitive Modelling
• Artificial Intelligence
• Decision-Making
• +۳ مورد دیگر

Dr. Leendert van Maanen is an Associate Professor at the Department of Experimental Psychology, Utrecht University, where he studies cognitive mechanisms underlying information processing and decision-making. His research focuses on developing and validating computational cognitive models, with applications in human-machine interaction and cognitive neuroscience data analysis. Research Themes: Cognitive Modeling, Decision-Making, Human-Centered Artificial Intelligence, Applied Data Science Labs: Leads the COBRA (Cognitive and Behavioral Research in Artificial Intelligence) lab His work spans three levels of cognitive integration in AI: model development, human-machine deployment, and neural data analysis. Recent projects include cognitive strategy detection, digital twin user modeling, and neural event detection using multivariate time series. For collaborations and publications, see leendertvanmaanen.com or Utrecht University Research Portal.

Wouter Kagerمشاهده پروفایل

استادیار

• Probability Theory
• Discrete Systems
• Random Spatial Behavior
• +۶ مورد دیگر

Wouter Kager is an Assistant Professor of Probability in the Department of Mathematics at Vrije Universiteit Amsterdam. His research focuses on discrete systems with random spatial behavior, including lattice aggregation models, random fields, and self-interacting random walks. He is particularly interested in the limiting behavior and scaling limits of these models, contributing to Probability Theory and related disciplines. Research Interests: Kager's work explores the intersection of probability theory and statistical physics. His research includes studies on stochastic processes, lattice models (e.g., Ising model), aggregation phenomena, and network stability. He has developed tools for analyzing stochastic systems, such as rotor-router aggregation and diamond aggregation models. His recent work also addresses applications in coordination games and queueing theory. Tools & Contributions: Kager has created open-source tools for converting EPS/FIG files to PDF/PNG, optimizing n-up printing, and LaTeX presentation themes. These tools are widely used in academic and technical contexts. His contributions to computational methods reflect his interdisciplinary approach to research. Publications: His articles span topics like stochastic domination, critical phenomena in random graphs, and stability analysis of stochastic networks. Recent works include advancements in likelihood ratio analysis, convex cone theory, and coordination game models.

• Cognition-Aware Systems
• Intelligent Reading Interfaces
• Digital Health
• +۳ مورد دیگر

Dr. Tilman Dingler is an Associate Professor in the Knowledge and Intelligence Design (KInD) section at the Faculty of Industrial Design Engineering (IDE), Delft University of Technology. He holds a PhD in Computer Science from the University of Stuttgart and has held roles at the University of Melbourne and Osaka Prefecture University. His research focuses on cognition-aware systems, intelligent reading interfaces, and digital health technologies. He is an expert in designing systems that adapt to cognitive states to enhance information processing and mitigate biases. Education: PhD in Computer Science, University of Stuttgart (Germany) Master of Science in Web Science, University of San Francisco (USA) Honours Degree in Technology Management, University of Munich (Germany) Research Interests: Cognition-Aware Systems: Sensing cognitive states like attention and alertness Bias-Aware Systems: Detecting and mitigating cognitive biases in decision-making Digital Health: Proactive monitoring systems for chronic disease management Intelligent Reading Interfaces: Enhancing readability and reading habits Article Trends: Recent work explores interventions to reduce social media addiction, AI-generated content for non-native readers, and tools for analyzing 360° video. His studies often bridge HCI, AI ethics, and health tech. Awards: Wolfgang Heilmann Award (twice) Fulbright Scholar Grants & Collaborations: Secured funding from NHMRC and Japan Science and Technology Agency. Leads projects like ODECO (Open Data Ecosystem) and SmartHeart (home-based heart failure monitoring). Labs & Teams: Active in IDE’s Human-Centred AI and Sustainable Design Engineering groups. Co-founded the SIGCHI Melbourne Local Chapter.

• Geotechnical Engineering
• Computational Geomechanics
• Soil Mechanics
• +۵ مورد دیگر

Michael A. Hicks is a Professor in the Department of Geo-engineering within the Faculty of Civil Engineering & Geosciences at Delft University of Technology (TU Delft). His research focuses on computational geomechanics, soil mechanics, and probabilistic analysis of geotechnical structures. His primary research interests include: Material Point Method (MPM) and computational techniques for geomechanics Slope stability analysis and reliability assessment Soil heterogeneity and spatial variability Earthquake engineering and seismic response analysis Probabilistic methods in geotechnical engineering Professor Hicks' recent work demonstrates a strong trend toward integrating advanced computational methods with geotechnical engineering challenges. His research increasingly incorporates machine learning applications for site characterization while maintaining a strong foundation in fundamental soil mechanics. The publications show consistent focus on improving numerical methods for simulating complex geomechanical behavior, particularly related to slope failures, soil heterogeneity, and earthquake response. His scientific contributions include editorial roles for major geotechnical journals: Editorial board member for Géotechnique (2019) Editorial board member for Georisk: assessment and management of risk for engineered systems and geohazards (2019) Editorial board member for Computers and Geotechnics (2019) Professor Hicks has been actively involved in public engagement, with media coverage on topics including earthquake damage in Groningen (2018), dike safety (2017), and flood risk reduction in the Netherlands (2017). His research group at TU Delft focuses on developing and applying advanced computational methods to solve complex geotechnical engineering problems, with particular emphasis on reliability analysis and uncertainty quantification.

• Computational Mechanics
• Multiscale Materials
• Gradient Elasticity
• +۶ مورد دیگر

Harm Askes is a Full Professor in the Department of Civil and Structural Engineering at the University of Sheffield. His research focuses on computational mechanics of multiscale materials, particularly in gradient elasticity, homogenization, and metamaterials. He holds degrees from Delft University of Technology (MSc, PhD) and a DEng from the University of Sheffield. His work contributes to UN Sustainable Development Goals through advanced material modeling and structural analysis. Key research areas include wave propagation in heterogeneous media, dynamic homogenization, and fracture mechanics. Collaborations span international institutions, with notable contributions to lattice material mechanics and finite element methodologies. His publications reflect expertise in multiscale modeling, with a focus on bridging microstructural details to macroscale behavior. Dr. Askes has an h-index of 20 and over 1,108 citations. His research integrates computational techniques with experimental validation, addressing challenges in material characterization and structural integrity. Ongoing projects explore stochastic material behavior and the design of advanced composite systems. His academic contributions include editorial roles, supervision of postgraduate research, and development of innovative numerical methods for engineering applications. Theoretical frameworks developed by his team, such as gradient-enriched continuum models, are widely applied in computational mechanics.

Juan Antonio Hernández Agüeroمشاهده پروفایل

پژوهشگر

• Ecosystem Functioning
• Biodiversity
• Trophic Interactions
• +۳ مورد دیگر

Juan Antonio Hernández Agüero is a Researcher in the Faculty of Science at Vrije Universiteit Amsterdam, specializing in Environmental Geography. He focuses on Ecosystem Functioning, particularly how biodiversity and trophic interactions are affected by environmental and human-induced changes. His work employs niche modeling, machine learning, remote sensing, and field experiments to identify conservation priorities in Mediterranean and global ecosystems. Education: PhD in Ecology, Universidad Rey Juan Carlos (2021) MSc in Conservation and Biodiversity on Islands, Universidad de la Laguna (2017) BSc in Biology, Universidad Autónoma de Madrid (2015) Research Projects: Integradiv (Biodiversa+): Improving knowledge of Mediterranean forest ecosystems and protection strategies S-Oases Project: Mapping global oasis ecosystems World Climb Project: Assessing sport climbing impacts on cliff biodiversity Urban Heat Island Research: Investigating latitudinal effects on trophic interactions Grants & Leadership: Principal Investigator for two projects: 'Phenological desynchronization of species interactions within urban environments' (2024-2025) and 'Urban greening and bluish as regulators of avian-mediated trophic cascades' (2023-2025). Labs/Teams: Leads field research on urban heat islands and collaborates with global networks in conservation biology and trophic dynamics.

Julia Komjathyمشاهده پروفایل

دانشیار

• Random Graph Models
• Spatial Random Graphs
• Hyperbolic Random Graphs
• +۷ مورد دیگر

Julia Komjathy is an Associate Professor at Delft University of Technology's Faculty of Electrical Engineering, Mathematics and Computer Science (EWI), within the Delft Institute of Applied Mathematics (DIAM). She leads the Applied Probability Group and focuses on probabilistic network models, including random graphs, spatial networks, and epidemic processes. Her research explores structural properties like 'explosion' in weighted graphs and phase transitions in contact processes. Education: Ph.D. in Mathematics from TU Budapest under Professors Márton Balázs and Károly Simon (2012). Thesis: Topics in Markov chains: Mixing and escape rate . Research Interests: Random graph models of complex networks Spatial random graphs and hyperbolic geometry Weighted random graphs and distance evolution Epidemic spread dynamics on networks Branching processes and percolation theory Phase transitions in scale-free systems Professional Activities: Organizer of TU Delft's Probability & Statistics Seminar Keynote speaker at WAW 2024 (Warsaw) and Discrete Probability Days 2023 (Barcelona) Supervised 4 PhD students, including Enrico Baroni (2017), Viktoria Vadon (2020), and Joost Jorritsma (2023) Awards: None explicitly listed, but her work has been published in top journals like PNAS, Annals of Applied Probability, and Random Structures & Algorithms. Current Projects: Investigating degree-dependent contact processes, first-passage percolation growth regimes, and cluster-size decay in spatial networks.

Marieke van Heuvelenمشاهده پروفایل

استادیار

• Multidisciplinary Sciences
• Geriatrics & Gerontology
• Sport Sciences
• +۳ مورد دیگر

Dr. Marieke van Heuvelen is an Assistant Professor at the Faculty of Medical Sciences, University of Groningen, affiliated with the SMART Movements research group. Her work focuses on the effects of whole-body vibration and physical activity on cognitive and physical health, particularly in aging populations and individuals with neurodegenerative conditions like dementia and Alzheimer's. She has expertise in geriatrics, sport sciences, and human movement sciences, emphasizing applications in movement, aging, and health. Her research spans experimental studies in animal models and clinical trials in human subjects, addressing topics such as brain function, cognitive deficits, and immune responses. She collaborates internationally and has contributed to guidelines for vibration exercise research. Her studies explore interventions to improve quality of life through physical activity, including passive exercise and multisensory environments for institutionalized older adults. Dr. van Heuvelen's publications highlight trends in whole-body vibration's neuroprotective effects, its impact on glial cells and synaptic markers, and its potential in treating Parkinson's and Alzheimer's. She emphasizes translational research, bridging cellular mechanisms to clinical applications. Her work has been cited in policy and clinical guidelines, underscoring its practical relevance. She serves as an expert advisor on topics like physical activity guidelines, e-bike use for health, and dementia care. Her research integrates behavioral neuroscience, gerontology, and exercise physiology to address age-related challenges, advocating for evidence-based interventions to enhance mobility and cognitive resilience.