جست‌وجوی استاد و پژوهشگر

• Sociolinguistics
• Discourse Analysis
• Multilingualism
• +۶ مورد دیگر

Janet Fuller is a Professor of Language and Society at the University of Groningen’s Faculty of Arts, holding roles such as Chair of the Department of European Languages and Cultures and Interim Chief Diversity and Inclusion Officer. She specializes in sociolinguistics, discourse analysis, and multilingualism, with research focusing on language ideologies, migration discourses, and national belonging. Fuller earned her Ph.D. in Linguistics from the University of South Carolina (1997), an M.A. in American Studies from Freie Universität Berlin (1992), and a B.A. in Anthropology from Macalester College (1984). Her research explores language’s role in shaping identity and power dynamics, particularly in transnational and multicultural contexts. Recent work analyzes media discourses on migration in Europe, emphasizing how language constructs narratives around national belonging and exclusion. She has published extensively, including co-authoring Introduction to Sociolinguistics (8th ed., 2021) and Speaking Spanish in the US (2021). Her studies on linguistic landscapes investigate how public signage reflects societal multilingualism and transnational identities. Fuller’s articles frequently address migration, language policy, and education, such as examining multilingual psychotherapy practices and biodiversity communication at UN summits. She received awards for research contributions, including the Dean’s Appreciation Award and multiple grants supporting bilingualism studies. Her teaching spans sociolinguistics, discourse analysis, and gender studies, with a focus on critical methodologies. Her work bridges academia and public engagement, contributing to debates on diversity and inclusion. Ongoing projects include analyzing discourses of populism and language’s role in sustainability frameworks. She advises on language policies and has organized conferences on multilingualism and migration studies.

Rinse Weersmaمشاهده پروفایل

استاد

• Inflammatory Bowel Disease
• Gut Microbiome
• Crohn's Disease
• +۵ مورد دیگر

Professor Rinse Weersma is a Full Professor and Gastroenterologist at the Faculty of Medical Sciences, University of Groningen, and works at the University Medical Center Groningen (UMCG). He leads research in the Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), focusing on inflammatory bowel diseases and the gut microbiome. Faculty of Medical Sciences, University of Groningen University Medical Center Groningen (UMCG) Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI) Professor Weersma's research primarily centers on inflammatory bowel disease (IBD), including Crohn's disease and ulcerative colitis, with a strong emphasis on understanding the role of the gut microbiome, genetic factors, and immune responses. His work bridges gastroenterology, immunology, and microbiology to develop better diagnostic tools and treatment approaches for IBD patients. He has pioneered research on how diet, environmental factors, and host genetics interact to influence disease development and progression. Analysis of Professor Weersma's recent publications (2025) reveals a strong trend toward multi-omics approaches to understanding inflammatory bowel diseases. His research integrates microbiome analysis, genetic studies, and clinical data to identify biomarkers for disease prediction and treatment response. Key themes include the relationship between gut microbiome composition and IBD, gene-environment interactions, and the application of advanced statistical methods to dietary and clinical data. His work has significant implications for personalized medicine approaches in gastroenterology. Rising Star Award (2011) Professor Weersma actively supervises PhD students including Marjolein Klaassen and Laura Bolte, focusing on gut microbiome research in inflammatory bowel diseases. His research is supported by multiple collaborative projects including the 1000IBD project, which has generated extensive multi-omics data from IBD patients. He frequently collaborates with international research teams across Europe and has contributed to major studies on liver transplantation and microbiome interactions. His work has been funded through various national and international grants supporting gastrointestinal research. Professor Weersma leads research within the Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), which brings together experts in gastroenterology, immunology, genetics, and microbiome research. His team collaborates extensively through the TransplantLines Investigators consortium and participates in large-scale international research initiatives studying inflammatory bowel diseases across diverse populations.

Raffaella Mulasمشاهده پروفایل

استادیار

• Spectral Theory of Graphs and Hypergraphs
• Discrete Laplacians
• Non-backtracking Operators
• +۷ مورد دیگر

Raffaella Mulas is an Assistant Professor in the Department of Mathematics at the Faculty of Science, Vrije Universiteit Amsterdam. She previously served as a Group Leader and Minerva Fast Track Fellow at the Max Planck Institute for Mathematics in the Sciences, where she maintains an ongoing affiliation. Her research lies at the intersection of spectral graph theory, discrete mathematics, and network science. Research Interests: Her work focuses on the spectral theory of graphs and hypergraphs, particularly the properties of discrete Laplacians and non-backtracking operators. She investigates extremal combinatorics problems such as graph coloring and the Turán problem, often applying spectral methods to derive sharp bounds. Her research has strong applications in modeling and analyzing complex networks. Recent Research Trends: Analysis of the 15 most recent publications reveals a consistent focus on spectral characterizations of graphs and hypergraphs, including signed and complex unit hypergraphs. She frequently studies the normalized Laplacian and its extremal eigenvalues, develops non-backtracking operators, and explores measure-theoretic and geometric representations of networks. A strong thread connects spectral bounds to combinatorial invariants like chromatic number. VU Startpremie Grant Elected Member, European Mathematical Society Young Academy (EMYA) Elected Member, Elisabeth-Schiemann-Kolleg, Max Planck Society Minerva Fast Track Fellow, Max Planck Institute Advising and Grants: While no formal students are listed, she is an active researcher with significant grant funding, notably the VU Startpremie Grant. She collaborates internationally and supervises research projects in spectral graph theory and network analysis. Her affiliation with both VU Amsterdam and MPI-MiS enables broad academic mentorship and collaborative supervision. Labs and Research Groups: Raffaella Mulas leads research within the Mathematics Department at VU Amsterdam and is affiliated with the research group at the Max Planck Institute for Mathematics in the Sciences. Her work contributes to advancing theoretical foundations in discrete mathematics with applications in data science and network modeling.

• Emotional Communication
• Linguistics
• Cognitive Science
• +۵ مورد دیگر

Dr. Martijn Goudbeek is an Associate Professor at Tilburg University's Tilburg School of Humanities and Digital Sciences (TSHD), specifically within the Department of Communication and Cognition. His research focuses on the intersection of emotion, language, and cross-cultural communication, with a strong emphasis on vocal and linguistic expression of affect. He has contributed significantly to understanding how emotional states influence language production and perception, particularly across cultural and linguistic boundaries. His work spans experimental psychology, computational linguistics, and human-robot interaction. He is affiliated with the Communication and Cognition department and teaches courses like 'The Emotional Brain' and 'Statistics and Experimental Methods.' Key research themes include vocal emotion recognition in multilingual contexts, the role of rhythm and acoustic cues in affective communication, and the reproducibility of language evaluation methods. He has led projects such as the Multilingual Emotional Football Corpus (MEmoFC) and explored how cultural factors shape nonverbal expressions like smiles and gestures. His studies often combine empirical experiments with computational modeling, addressing topics ranging from politeness in mood-influenced communication to the design of socially intelligent chatbots and robots. Dr. Goudbeek’s interdisciplinary approach bridges cognitive science, linguistics, and digital technologies. While no specific grants or awards are listed, his extensive publication record reflects sustained contributions to understanding human emotion expression and its technological applications. His work frequently engages with questions of reproducibility in NLP and dialogue systems, emphasizing methodological rigor in computational linguistics.

Ward Romeijndersمشاهده پروفایل

استاد

• Operations Research
• Management Science
• Stochastic Programming
• +۷ مورد دیگر

Prof. Ward Romeijnders is a Full Professor in the Department of Operations Management & Operations Research at the University of Groningen. He holds leadership roles in academic organizations such as Secretary of the Stochastic Programming Society (COSP), Associate Editor of Mathematical Methods of Operations Research, and Board member of LNMB. His research focuses on stochastic programming, optimization under uncertainty, and applications in energy, logistics, healthcare, and finance. He has led projects like the NWO VIDI grant 'Discrete Decision Making under Uncertainty' (2023-2027) and previously the NWO VENI project on planning under uncertainty. Education: Doctorate in Operations Research (details unspecified). Research Interests: Stochastic optimization, risk-averse decision-making, integer programming, and applications in societal challenges. Recent publications span algorithmic advancements in Benders decomposition, robust optimization, and error-bound theories. He has received multiple awards, including the Gijs de Leve Prize (2015-2017) and Willem R. van Zwet Award (2016). As a teacher, he instructs advanced courses on stochastic programming and optimization under uncertainty. Grants: NWO VENI (2017-2020), NWO VIDI (2023-2027). Editorial Roles: Mathematical Methods of Operations Research, Euro WG on Stochastic Optimization.

Evert van Nieuwenburgمشاهده پروفایل

استادیار

• Quantum Physics
• Machine Learning
• Condensed Matter Physics
• +۶ مورد دیگر

Dr. Evert van Nieuwenburg is an Assistant Professor at Leiden University, affiliated with both the Leiden Institute of Advanced Computer Science (LIACS) and the Leiden Institute of Physics (LION). His research bridges the fields of Quantum Physics , Machine Learning , and Condensed Matter Physics , with a focus on quantum algorithms, reinforcement learning, and quantum game development (e.g., Quantum TiqTaqToe ). He actively contributes to the Applied Quantum Algorithms (aQa) initiative and leads the QuantumPlayed subgroup for quantum games and education. Research Interests: AI-driven quantum experiment control, quantum machine learning, variational quantum circuits, and quantum games for education and intuition-building. Publications: 15+ peer-reviewed works spanning quantum error correction, phase transitions, reinforcement learning in quantum systems, and quantum dot array simulations. Community Engagement: Developer of educational quantum games, open science advocate, and active participant in interdisciplinary initiatives. Selected Trends: His work demonstrates AI's transformative role in quantum physics, from decoding error-correcting codes with graph neural networks to merging reinforcement learning with quantum control systems. Labs & Initiatives: Affiliated with the Applied Quantum Algorithms (aQa) initiative and co-founder of QuantumPlayed , where quantum mechanics meets game theory to engage diverse audiences.

• Animal Welfare
• Laboratory Animal Science
• Animal Behavior
• +۴ مورد دیگر

Hetty Boleij is an Assistant Professor at Utrecht University's Faculty of Veterinary Medicine, affiliated with the Department of Population Health Sciences and the Animals in Science and Society research group. Her work focuses on non-invasive stress measurement in laboratory animals using infrared thermography and behavioral analysis. Academic Affiliation: Utrecht University, Faculty of Veterinary Medicine Department: Population Health Sciences Boleij's research explores emotional reactivity, judgment bias, and behavioral habituation in rodents. She has developed methods to assess stress responses in inbred mice and investigates welfare implications across different mouse substrains. Recent publications highlight her expertise in stress physiology, behavioral neuroscience, and animal welfare metrics. Her work combines pharmacological studies (e.g., diazepam effects) with environmental enrichment approaches to improve laboratory animal care. Teaching roles: Course coordinator for BSc Veterinary Medicine and co-coordinator for MSc Veterinary Public Health Methodologies: Infrared thermography, judgment bias tasks, behavioral habituation studies

Arthemy Kiselevمشاهده پروفایل

استادیار

• Mathematical Physics
• Deformation Quantization
• Poisson Geometry
• +۴ مورد دیگر

Arthemy Kiselev is an Assistant Professor at the University of Groningen's Faculty of Science and Engineering, specifically within the Department of Mathematics at the Johann Bernoulli Institute. He has been working at the Chair of Algebra since January 2011, contributing significantly to mathematical physics research. His educational background includes: (Under)graduate studies at Lomonosov Moscow State University (summa cum laude, 2001) and Independent University of Moscow PhD in mathematical physics (2004) Professor Kiselev's research focuses on the interface of (super)geometry and quantisation, particularly examining the (non)commutative geometry of Kontsevich's deformation and Batalin-Vilkovisky's approaches to quantisation of gauge field models. His work centers on deformation quantisation, BV quantisation, geometry of differential equations, Poisson geometry, and brackets. He has developed algebraic and geometric tools for the mathematical language of fundamental physics, with particular emphasis on the geometry of variations in Batalin-Vilkovisky formalism and Kontsevich's deformation quantization. His fingerprint in research shows strong connections to Cocycle Mathematics (100%), Poisson Bracket Mathematics (95%), Vector Field Mathematics (77%), Manifold Mathematics (65%), Poisson Structure Mathematics (51%), and Partial Differential Equation Mathematics (41%). His recent publications (2023-2024) demonstrate continued exploration of Kontsevich graphs acting on Nambu-Poisson brackets, star-products for affine Poisson brackets, and associativity properties in deformation quantization. These works show a consistent focus on understanding the mathematical structures underlying quantization procedures, with particular attention to graph complexes, cocycles, and their applications to Poisson geometry. His research reveals deep connections between algebraic structures, differential geometry, and theoretical physics. Scientific recognition includes: NWO VENI post-doctoral grant at Mathematical Institute Utrecht (2008-2010) Throughout his career, Kiselev has given 107 international talks at mathematics and theoretical physics research seminars. His collaborative work with PhD and master's students, such as M.S. Jagoe Brown and F. Schipper, has produced significant results in Poisson geometry and deformation quantization. His research has been supported by various institutions including visits to prestigious centers like IHES (France), MPIM (Germany), CRM (Montreal, Canada), and SISSA (Trieste, Italy). He has held positions at institutions including ISPU in Ivanovo, Russia (as docent since 2009). Kiselev is an active member of the Geometry and Quantum Theory (GQT) research group, contributing to the vibrant mathematical physics community at Groningen. His work continues to bridge abstract mathematical structures with fundamental physical theories, particularly through the lens of deformation quantization and Poisson geometry.

• Probability Theory
• Random Graphs
• Large Deviations
• +۳ مورد دیگر

Rajat Hazra is an Associate Professor at the Mathematical Institute of Leiden University, specializing in Probability Theory. He is affiliated with the NETWORKS consortium, which received a COFUND grant from the European Commission in 2020. Institution: Leiden University Academic Unit: Mathematical Institute Rank: Associate Professor Email: r.s.hazra@math.leidenuniv.nl His research focuses on theoretical probability, particularly in large deviation principles, random graphs, and spectral graph theory. A 2021 publication analyzed maximal eigenvalues of inhomogeneous Erdos-Renyi graphs using variational methods in graphon space. Scientific Awards: COFUND grant from European Commission (2020)

• Environmental Science
• Climate Science
• Atmospheric Chemistry
• +۳ مورد دیگر

Arjan Hensen is an Endowed Professor at the Vrije Universiteit Amsterdam's Faculty of Science, Department of Earth and Climate. He has been a Medewerker (staff member) at TNO in Petten since 1990. His research focuses on greenhouse gas emissions, atmospheric chemistry, and environmental monitoring, contributing to UN Sustainable Development Goals related to climate action and responsible consumption. Key research areas include methane and nitrous oxide emissions from agriculture and urban regions, ammonia deposition in coastal dunes, and innovative methods like UAV-based AirCore systems for emission quantification. His work integrates field measurements, sensor technology, and modeling to address environmental challenges. Recent studies highlight seasonal variations in emissions, validation of novel instruments, and quantification of emissions from dairy cows and oil/gas sites. Collaborations span multiple institutions, reflecting his interdisciplinary approach to environmental science.

Viktorija Kostadinovaمشاهده پروفایل

پژوهشگر

• Sociolinguistics
• Linguistic Data Collection Methods
• Language Variation
• +۳ مورد دیگر

Viktorija Kostadinova is a Researcher at the University of Amsterdam's School of Languages, Department of Linguistics. Her work focuses on sociolinguistic methodologies, particularly the impact of technology and pandemic-era constraints on data collection. Collaborating with colleagues like Professor Bertus van Rooy, she explores remote research tools and their validity. Her research bridges traditional fieldwork with modern digital methods, emphasizing vernacular speech analysis and language variation. Key interests include pandemic-driven innovations in data collection, sociolinguistic variation in digital contexts, and prescriptivism in language use. She has published extensively on topics such as remote interview techniques, morphosyntactic variation in online communities, and historical usage guides. Her interviews with academics like Dr. Stephen Lucek and Professor Adrian Leemann highlight interdisciplinary approaches to linguistic challenges. Kostadinova’s work underscores adaptability in research methodologies, particularly in leveraging digital tools for ethnographic and sociolinguistic studies.

Rens Vliegenthartمشاهده پروفایل

استاد

• Political Communication
• Media Effects
• News Framing
• +۲ مورد دیگر

Rens Vliegenthart is Professor and Chair Holder of Strategic Communication at Wageningen University & Research. Formerly at the University of Amsterdam, he joined WUR in 2022 and leads research on political communication, media framing, and digital journalism. His work critically examines media trust, news avoidance, and democratic accountability in high-choice information environments. Research focuses on political advertising effects, misinformation susceptibility, media trust dynamics, and comparative framing analysis. Current projects examine emotional appeals in political ads, news avoidance patterns, and watchdog journalism in the Big Tech era. Vliegenthart serves on editorial boards of leading communication journals and has coordinated multiple international research consortia. His methodological innovations include data donation techniques and computational analysis of media content. As former President of the Young Academy (KNAW), he advocates for equity in academia. Current administrative responsibilities include research leadership and PhD supervision.

Amalia Arvanitiمشاهده پروفایل

استاد

• Phonetics
• Laboratory Phonology
• Prosody
• +۷ مورد دیگر

Amalia Arvaniti is a Professor in the Department of Modern Languages and Cultures and the Centre for Language Studies at Radboud University, Netherlands. She specializes in English Language and Linguistics with a strong focus on phonetics and laboratory phonology. Her research interests lie at the intersection of phonetics, phonology, and pragmatics, particularly in prosody, intonation, rhythm, sociophonetics, bilingualism, and language variation . She investigates these phenomena in both English and Greek, with a current emphasis on developing an integrated model of intonational form and function. The recent publications highlight a consistent focus on intonation and prosodic structure, drawing on experimental, phonetic, and pragmatic methodologies. Her work spans theoretical phonology and empirical phonetics, often using laboratory-based approaches to examine cross-linguistic patterns and speaker variability. ERC Advanced Grant (ERC-ADG-835263) for SPRINT project (2019-2025) Leverhulme Major Fellowship (UK, 2019-2020) Mohrmann Grant (Radboud University, 2020-2022) She leads the SPRINT project as Principal Investigator, which funds four post-doctoral researchers and supports training, dissemination, and international collaboration with scholars like Chris Cummins and Yiya Chen. Her teaching includes core courses in phonology, British English phonetics, and language variation at both undergraduate and graduate levels. She supervises Bachelor’s, Master’s, and Research Master’s theses, indicating active student mentorship. The research is conducted within the Speech Production and Comprehension Group, which employs behavioral and neurophysiological methods to study speech.

Bert de Vriesمشاهده پروفایل

استاد

• Bayesian Machine Learning
• Signal Processing
• Biomedical Applications
• +۳ مورد دیگر

Bert de Vries is a Professor at the Signal Processing Systems Group at Eindhoven University of Technology (TU/e), where he has been employed since January 2012. He maintains a dual career, also working at GN Hearing in the hearing aids industry since April 1999, where he holds both research and managerial roles. His academic journey began at TU/e, where he earned his MSc in Electrical Engineering in 1986, followed by a PhD from the University of Florida in 1991. Between 1992 and 1999, he worked at Sarnoff Research Center in Princeton, NJ, contributing to diverse signal and image processing projects. Professor de Vries's research centers on Bayesian Machine Learning, with particular focus on the Free Energy Principle and its applications to engineering problems. His work bridges theoretical neuroscience with practical signal processing systems, especially in biomedical applications. He directs the BIASlab research team at TU/e, which develops probabilistic programming tools including RxInfer.jl, ForneyLab.jl, GraphPPL.jl, ReactiveMP.jl, and Rocket.jl. His research spans active inference, variational message passing, probabilistic programming, and Bayesian neural networks, with applications ranging from hearing aids to multi-agent systems. Analysis of his recent publications reveals a strong trend toward practical implementations of Bayesian inference frameworks, particularly through Julia-based probabilistic programming tools. His work shows increasing focus on active inference applications, message passing algorithms, and the intersection of Riemannian geometry with probabilistic modeling. The research demonstrates consistent progression from theoretical foundations toward real-world engineering applications, particularly in biomedical signal processing and autonomous systems. Professor de Vries teaches a graduate-level course on Bayesian Machine Learning at TU/e and actively contributes to open-source software development through his GitHub profile (bertdv), with recent activity as recent as August 2025. His research team has developed several influential probabilistic programming libraries that have gained significant attention in the machine learning community. The BIASlab research group continues to advance the state of the art in Bayesian inference methods with applications in hearing technology, robotics, and signal processing.

• Spatial Planning
• Digitalization in Urban Governance
• Collaborative Planning
• +۹ مورد دیگر

Dr. Yanliu Lin is an Associate Professor in Spatial Planning and Digitalization at Utrecht University's Department of Human Geography and Spatial Planning. His research focuses on digital planning technologies, urban governance, and collaborative planning processes, particularly in China and the Netherlands. He leads an ERC-funded team exploring social media's role in collaborative planning and co-leads an AI-driven Digital Twin Platform project with partners from TU Eindhoven and Wageningen University. Key research areas include: Planning Support Systems and Smart Urban Governance Social Media's Impact on Public Participation Digital Twin Applications for Sustainable Development Migration and Urban Integration Ethical Dimensions of AI in Urban Planning His 60+ publications appear in top journals like Computers, Environment and Urban Systems and Urban Studies . He edited two books on smart governance and co-organized major conferences like the 2025 CUPUM workshop on Digital Planning. Awards include an ERC Starting Grant (2021-2026) for collaborative planning research. Professional Contributions: Serves on editorial boards for Planning Practice & Research and Urban Governance , reviews for 40+ ISI journals, and advises the Swiss National Science Foundation.