Dr. Nienke Smit is an Assistant Professor in the Department of Education at Utrecht University's Faculty of Social and Behavioural Sciences. Her research focuses on scaffolding processes, adaptive teaching, and classroom observational research from a complex dynamic systems perspective. Specializes in teacher-student interaction Expert in adaptive instruction and observational methods Collaborates with Data Science department Develops tools for classroom observation Research interests include language learning and teaching , judgment and decision-making in education , and professional development of teachers . She leads projects like Eye Get It (joint attention in classrooms) and a replication study on adaptive instruction effectiveness. Her work applies dynamic systems theory to second language development and foreign language pedagogy. Recent publications address translanguaging in multilingual classrooms, replication studies , and process-oriented research . She teaches at Utrecht's Graduate School of Teaching and works on initiatives to reduce teacher shortages through improved training programs.
Massimo Mischi is a Full Professor at the Faculty of Electrical Engineering of the Eindhoven University of Technology (TU/e) and chairs the Signal Processing Systems (SPS) Division , the largest division at TU/e with over 250 researchers. He founded the Biomedical Diagnostics (BM/d) Lab in 2012, which now includes 180 researchers and clinical/industrial advisors, focusing on biomedical signal processing for diagnostics and monitoring.
Qian Tao is an Assistant Professor at the Department of Imaging Physics , Faculty of Applied Sciences , Delft University of Technology . She previously worked at the Division of Image Processing, Department of Radiology, Leiden University Medical Center from 2009 to 2020. Academic Background: BSc in Electrical Engineering (Fudan University), MSc in Biomedical Engineering (Fudan University), PhD in Biometric Authentication (University of Twente) Research Interests: Focus on trustworthy AI methodologies for critical healthcare applications, including medical imaging for patient diagnosis and clinical intervention. Specializes in cardiac MRI analysis, image-guided interventions for cardiac arrhythmias, and AI in Radiology. Publication Trends: Recent work emphasizes motion correction in cardiac MRI, deep learning for image registration, and novel techniques like TRAFF2 mapping. Keywords include Medical Imaging , Machine Learning , Cardiac MRI , and Quantitative Analysis . Contact: Email: Q.Tao@tudelft.nl
Theo Arentze is a Full Professor at Eindhoven University of Technology (TU/e) in the Department of the Built Environment, leading the Real Estate Management and Development group. He is affiliated with EAISI Health and EAISI Mobility research institutes. Education: MSc in Psychology (Cognitive Psychology & AI) from Groningen University, PhD from TU/e Urban Planning Research: Spatial choice behavior, decision support systems, activity-based modeling, agent-based simulation His research integrates bounded rationality into spatial choice models to enhance behavioral realism, with applications in real-estate management , neighborhood development , healthy cities , and hybrid work environments . Recent work includes child-friendly urban planning and energy-efficient housing impacts . Prominent article themes include: Hybrid work location decisions Urban public space affective experiences Child friendliness in residential choices Sustainable energy preferences Spatial decision support systems Social network modeling Scientific recognition includes: Best Poster Award (2025) - Computational Urban Planning Conference Long Paper of Distinction (2021) - Healthy Buildings Europe EuroFM Best Paper Award (2017) Pyke Johnson Award (2016) As an educator, he teaches courses in Urban Planning , Housing Economics , and Quantitative Research Methods . His multidisciplinary team combines expertise from psychology, sociology, and urban economics to create high-quality built environments through behavioral research.
Dr. Julia Kamenz is an Assistant Professor (Rosalind Franklin fellow) at the University of Groningen's Faculty of Science and Engineering, where she leads research in the Molecular Systems Biology group within the Groningen Biomolecular Sciences and Biotechnology Institute (GBB). Her work focuses on understanding the molecular mechanisms that regulate cell cycle progression and cell division. Dr. Kamenz received her undergraduate training in Biochemistry at the University of Tuebingen, completed her PhD at the Friedrich Miescher Laboratory of the Max Planck Society under Dr. Silke Hauf (defended February 2015 with highest honors), and conducted postdoctoral research at Stanford University with Prof. James E. Ferrell. Her PhD work was supported by a Boehringer Ingelheim Fonds fellowship, and her postdoc was funded by a German Research Foundation (DFG) Postdoctoral Fellowship. Her research expertise spans cell cycle regulation and dynamics, post-translational modifications, Xenopus laevis model systems, and live cell microscopy. Dr. Kamenz investigates how kinases and phosphatases intricately regulate cell proliferation and division, with particular interest in the molecular mechanisms that ensure faithful chromosome segregation during mitosis. Her recent work has revealed novel insights into mitotic checkpoint signaling, particularly in early embryonic development where these checkpoints appear to function differently than in somatic cells. Dr. Kamenz's publication record demonstrates a strong focus on the dynamics of cell cycle transitions, with recent papers appearing in high-impact journals including Nature, The Journal of Biological Chemistry, and The Journal of Cell Biology. Her research integrates experimental biochemistry, live-cell imaging, and computational modeling approaches to understand complex regulatory networks. ERC Starting Grant (November 2022) NWO Vidi Grant (July 2021) Mansour Postdoctoral Travel Award (2019) Dr. Kamenz has secured significant research funding including an ERC Starting Grant (€1.5 million) and an NWO XS grant (€50,000) for her project "What limits mitotic checkpoint signaling in the early embryo?" Her research contributes to understanding fundamental biological processes with implications for developmental biology and cancer research. She collaborates extensively within the University of Groningen and with international partners, particularly in the areas of cell cycle research and biophysical approaches to biological problems. Dr. Kamenz leads a research group focused on cell cycle regulation within the Molecular Systems Biology division of the Groningen Biomolecular Sciences and Biotechnology Institute. Her lab combines biochemical approaches using Xenopus egg extracts with live-cell imaging and computational modeling to dissect the molecular mechanisms controlling cell division.
Prof. Casper Hoogenraad is a full professor in Molecular Neuroscience at the Department of Cell Biology, Faculty of Science, Utrecht University. His research focuses on understanding how intracellular protein trafficking underlies neuronal development and function, with particular emphasis on the microtubule cytoskeleton, synaptic cargo trafficking, and synaptic plasticity. He leads an active research group within Utrecht University's Cell Biology department and collaborates extensively with other neuroscience research groups. Education: PhD, Erasmus University Rotterdam (1996-2001) Postdoc, Massachusetts Institute of Technology (2002-2005) Hoogenraad's research spans three main themes: cytoskeleton dynamics during neurodevelopment and synaptic plasticity, motor proteins and adaptors as regulators of synaptic transport, and psychiatric and neurologic disease disorders linked to intracellular transport. His work combines genetics, biochemistry, molecular, and cellular biology methods in in vitro (neuron cultures), ex vivo (brain slices), and in vivo (mice) systems, along with advanced microscopy techniques including immunofluorescent confocal microscopy, high-resolution live cell imaging, and photo-activated localization microscopy (PALM). Analysis of Hoogenraad's recent publications reveals a strong focus on microtubule organization, neuronal polarity, and the molecular mechanisms underlying synaptic function and dysfunction. His work frequently explores how disruptions in intracellular transport contribute to neurological disorders including Alzheimer's disease, schizophrenia, and autism spectrum disorders, with particular attention to the relationship between cytoskeletal organization and cargo transport in neuronal compartments. Scientific Awards and Memberships: ZonMW-VIDI (2004) European Young Investigators (EURYI) award (2005) NWO-ALW VICI (2011) ERC Consolidator grants (2013) FENS-Kavli Network of Excellence (2014) European Molecular Biology Organization (EMBO) (2015) Young Academy of Europe (YAE) (2015) IBRO Kemali Prize (2016) Hoogenraad leads a research group studying neuronal development and function, with a particular focus on how intracellular transport mechanisms contribute to both normal brain function and neurological disorders. His laboratory employs a multidisciplinary approach combining molecular, cellular, and systems neuroscience techniques to investigate the molecular basis of neuronal polarity, synaptic plasticity, and the pathogenesis of neurological disorders. He has secured significant research funding through prestigious grants including ERC Consolidator grants. The Hoogenraad lab operates within the Cell Biology department at Utrecht University, collaborating with other research groups focusing on cellular dynamics, biophysics, and neurobiology. The lab utilizes advanced microscopy techniques including immunofluorescent confocal microscopy, high-resolution live cell imaging (spinning disc microscopy and total internal reflection fluorescence microscopy), and quantitative analysis using advanced high-resolution microscopy (photo-activated localization microscopy). Current lab technicians include Phebe Wulf and Bart de Haan.
Gamze Z. Dane is a tenured Assistant Professor at the Department of Built Environment of Eindhoven University of Technology (TU/e), affiliated with EAISI Mobility and EAISI Health. She leads the Digital City Program (2020-2024) and specializes in decision-support systems, GIS, urban informatics, and data analytics for sustainable urban development. Her research integrates citizens into urban decision-making using digital tools like VR twins and data-driven approaches. Education: PhD in Urban Planning, MSc in Geographical Information Systems (GIS) and Decision Making. Research Interests: Focuses on human-environment interaction, transdisciplinary urban projects, and the impact of digitalization on cities. She develops tools for public participation and uses big data to analyze citizen behavior and urban experiences. Projects: Principal Investigator for EU/national projects involving cities like Eindhoven, Bologna, and Lisbon. Notable projects include UBeX Urban Behavior eXtended reality lab (2024-2026) and ROCK (2017-2020). Awards: Cuperusprijs 2020 (2nd place for student thesis) Drivers of Change Exhibition 2021 ISPRS International Journal Cover Story (2020) Teaching & Innovation: Coordinates courses like Smart Cities and Urban Redevelopment. Developed online teaching materials using VR, drones, and mobile apps. Guest lectures at Istanbul Technical University and visiting scholar at National University of Singapore. Labs & Networks: Leads the UBeX lab exploring immersive technologies for urban analysis. Active in academic networks including Urban Planning journals and international conferences.
Maarten Kroesen is an Associate Professor in the Transport and Logistics group at Delft University of Technology's Faculty of Technology, Policy and Management. His research focuses on travel behavior analysis, sustainable transport, and quantitative methods. He earned his PhD cum laude in 2011 with work on aircraft noise annoyance and has since shifted to mobility patterns and policy analysis. Kroesen teaches courses on statistics, data analysis, and travel behavior research, and has received multiple awards including the Best Teacher of the Year (2016) and Henk Sol Award (2011). His work bridges behavioral theory with policy implications, emphasizing longitudinal panel data methods. Education: PhD (cum laude) in Transport Policy and Management (TU Delft, 2011), MSc in Systems Engineering (TU Delft) Research Interests: Travel behavior dynamics, sustainable mobility transitions, latent class models, accessibility disparities Awards: Over six major accolades, including best thesis and innovation awards Expertise: Policy advising on aviation, transport equity, and behavioral modeling Recent work explores emerging time-use patterns, zero-emission flight impacts, and bidirectional effects between accessibility and travel behavior. He actively contributes to Dutch policy discussions on aviation and transport infrastructure.
Francesca Grisoni serves as an Assistant Professor in the Department of Biomedical Engineering at Eindhoven University of Technology (TU/e), where she currently leads the Molecular Machine Learning team. She additionally holds appointments as an ICMS Core member and Associate Professor at EAISI (Eindhoven Artificial Intelligence Systems Institute), reflecting her cross-disciplinary role at the intersection of computational science and biomedical applications. Academic Background : Grisoni completed her Environmental Sciences degree and earned a Ph.D. in 2016 from the University of Milano-Bicocca, where her dissertation focused on interpretable machine learning for molecular property prediction. During doctoral studies, she conducted research at ETH Zurich's Department of Chemistry and Applied Biosciences and the U.S. EPA's National Center for Computational Toxicology. Ph.D., University of Milano-Bicocca, 2016 (Dissertation: Interpretable machine learning for molecular property prediction) Environmental Sciences, University of Milano-Bicocca Her research integrates artificial intelligence, chemistry, and biology to develop computational methods for drug discovery, emphasizing wet-lab experimental validation alongside algorithmic innovation. Key focus areas include overcoming activity cliffs in molecular machine learning, generative modeling for scaffold hopping, and AI-augmented decision-making in therapeutic development, with the ultimate goal of achieving 'better decisions faster' in drug discovery pipelines. Analysis of her recent 2025 publications reveals a concentrated trend toward chemical language models and generative deep learning frameworks, specifically addressing low-data drug discovery challenges through active learning and neural network architectures. These works bridge computer science with pharmacology, targeting bioactivity prediction, molecular representation, and enzyme design while maintaining strong ties to experimental validation. Scientific Awards : Lush Young Researcher Prize Early Career Award 2022 from the Dutch Royal Netherlands Academy of Arts and Sciences (KNAW) ERC Starting Grant (2022) Grants and Supervision : Dr. Grisoni secured the prestigious ERC Starting Grant in 2022 to advance her molecular machine learning research. Institutional records indicate she has supervised 7 students (as shown in TU/e's 'Supervised Work (7)' repository section), though specific names aren't provided in the source material. Her group maintains active industry collaborations, including past engagement with Bracco Pharmaceuticals. Laboratory and Team : The Molecular Machine Learning team operates under the ICMS and EAISI frameworks, merging computational AI development with experimental wet-lab validation. This collaborative unit focuses on fragment-based molecular design, chirality representation (evidenced by fragSMILES work), and high-throughput nanoparticle identification using machine learning, as highlighted in recent press coverage and datasets.
Dr. Floris Peters is an Assistant Professor in Interdisciplinary Social Science at Utrecht University, specializing in Migration, Cultural Diversity, and Ethnic Relations. He holds a PhD from Maastricht University (2015) on citizenship's role in immigrant integration. His research focuses on citizenship policies, migration integration, and large-N administrative data analysis. Previously, he was a postdoctoral researcher in the ERC-funded 'Migrant Life Course and Legal Status Transition' (MiLifeStatus) project (2018–2021) and a Visiting Research Fellow at Malmö Institute for Studies of Migration, Diversity and Welfare (MIM). His work bridges migration studies, public policy, and social capital effects. Research interests include citizenship naturalization dynamics, socio-economic integration of migrants, and policy evaluation. Notable contributions explore the impact of dual citizenship, naturalization costs on immigrant decisions, and social capital's role in organ donation. Awards include the FASOS Valorisation Prize (2018) and APSA honors (2017). His interdisciplinary approach combines quantitative methods with policy analysis, addressing migrant life course trajectories and institutional conditions. He collaborates across institutions, leveraging administrative data to understand integration pathways and policy outcomes.
Prof. Iris F.A. Vis is a Professor of Industrial Engineering at the University of Groningen's Faculty of Economics and Business. She specializes in logistics and operations management, focusing on optimizing processes through quantitative and qualitative methods. Her work intersects logistics with sectors like healthcare, education, and energy. She leads major projects such as SMiLES (sustainable mobility-logistics integration) and designs logistics solutions for personalized learning systems in schools. She has advised over a dozen PhD students and collaborates with industry partners globally. Awards include Fellowship in the Netherlands Academy of Engineering. Education: M.Sc. Mathematics (Leiden University), PhD in Operations Management (Erasmus University Rotterdam) Roles: Captain of Science for Topsector Logistics, Member of multiple national advisory boards Research interests span sustainable transportation networks, port optimization, healthcare logistics, and educational logistics. Key projects include LNG supply chain design, offshore wind farm maintenance planning, and synchromodal transport networks. Over 45 peer-reviewed publications and 18 media engagements highlight her impactful contributions. Teaching includes courses on supply chain network design, technology-enabled innovation, and operations management at all academic levels. She advises on industrial partnerships and digital transformation initiatives in the Northern Netherlands region.
Dr. Serhan Sadikoglu is an Assistant Professor at Tilburg University's Tilburg School of Economics and Management (TiSEM), Department of Econometrics and Operations Research. He earned his PhD in Econometric Theory from Tilburg University in 2019. His research focuses on econometric theory, semiparametric estimation, robust statistics, and panel data analysis. He has published in prestigious journals such as Econometric Reviews and Econometrics Journal , with recent work addressing nonseparable panel models and robust estimation techniques. Sadikoglu teaches courses including Quantitative Methods, New Venture Creation and Growth, and Statistics for Econometrics. His research emphasizes methodological contributions to econometrics, particularly in handling complex data structures and improving estimation robustness.
Sible Andringa is Professor of Second Language Pedagogy at the University of Amsterdam's Faculty of Humanities, officially inaugurated on June 16, 2023. Dr. Andringa serves as Academic Director of the Institute for Dutch Language Education (INTT), Coordinator of the Language Learning, Literacy and Multilingualism research group, and Coordinator of the Master's program in Dutch as a Second Language and Multilingualism. Dr. Andringa's research focuses on second language acquisition and bilingualism, specifically investigating the added value of explicit instruction, how input distribution affects language learning outcomes, and the role of awareness in language learning trajectories. Key ongoing projects include the Meta-LLL project examining how literacy shapes language learning, the SLA4All initiative for reproducing SLA research with non-academic samples, and the OASIS project creating accessible research summaries for practitioners. Previously, Dr. Andringa led Project MIND studying bilingual daycare effects and contributed to the Stilis project on listening proficiency. As General Editor of the Dutch Journal of Applied Linguistics (DuJAL), Dr. Andringa promotes open science principles in language research. Recent publications demonstrate a focus on addressing sampling biases in SLA research, open access publishing ethics, and practical applications of language acquisition research for educational settings. Academic Director, Institute for Dutch Language Education (INTT) Coordinator, Language Learning, Literacy and Multilingualism research group Coordinator, Master's program Dutch as a Second Language and Multilingualism General Editor, Dutch Journal of Applied Linguistics (DuJAL) Member, Mastery Team for Modern Foreign Languages Member, OASIS project team Member, IRIS database advisory group Dr. Andringa supervises PhD candidates including Kyra Hanekamp and Darlene Keydeniers, particularly in research related to bilingual daycare environments and language development. The research program has received funding from the Dutch ministry of Social Affairs for Project MIND and continues to secure support for ongoing projects examining language learning mechanisms. Dr. Andringa leads the Language Learning, Literacy, and Multilingualism research group which investigates language and literacy acquisition across the lifespan, with emphasis on how language skills are learned, maintained, and used in educational contexts. The group meets weekly to discuss projects, plans, funding opportunities, and research topics while promoting collaboration, methodological innovation, and open science principles.
Marko Lovric is an Assistant Professor at Wageningen University & Research's Department of Forest and Nature Conservation Policy. He holds a PhD in forest policy from the University of Freiburg, Germany. His expertise spans forest policy, environmental governance, data analysis, and AI applications in forestry. He has 17 years of research experience, focusing on European ecosystem services, bioeconomy transitions, forest certification, and international forest policy formulation. Education: PhD in Forest Policy (University of Freiburg), prior roles include senior researcher at the European Forest Institute and assistant at the University of Zagreb's Faculty of Forestry. Research Interests: Marko’s work addresses forest policy implementation, ecosystem service valuation, bioeconomy modeling, and international trade dynamics. He employs quantitative methods, big data, and network analysis to explore governance innovations and sustainable forest management strategies. Projects: He coordinated the H2020 SINCERE project on forest ecosystem services and the Horizon Europe project on forest research ecosystems. Current projects include INTERCEDE, focusing on future forest incomes and ecosystem services. Teaching: Involves MSc courses in forest policy, including internships and thesis supervision in forest conservation policy. Labs/Teams: Active in Wageningen’s Forest and Nature Conservation Policy group, contributing to interdisciplinary projects on governance and bioeconomy transitions.
Hans Bouwmeester is a Full Professor in Toxicology at Wageningen University & Research, specializing in chemical risk assessment, nanomaterial toxicity, and in vitro modeling. His work focuses on integrating artificial intelligence and physiologically based kinetic (PBK) models to predict toxic effects of contaminants like organophosphate pesticides, microplastics, and mycotoxins. He leads projects exploring the health impacts of foodborne contaminants in inflammatory bowel disease and developing animal-free testing methods. Key collaborations include EU initiatives like the ONTOX project and the GUTTEST program, which utilize advanced in vitro models such as gut-on-a-chip systems. Research interests span toxicokinetics, nanoplastics exposure, and the application of Bayesian networks for nanomaterial hazard ranking. His team addresses translational challenges in linking in vitro data to in vivo outcomes, with a focus on bile acid metabolism and cardiotoxicity prediction. Bouwmeester has supervised over 10 PhD candidates, including studies on microplastic hazard assessment, nanomaterial gastrointestinal fate, and AI-driven data extraction for risk assessment. Notable contributions include datasets on nanoplastics' protein corona effects and transcriptomic analyses of intestinal cell responses. His work is published in journals like Ecotoxicology and Environmental Safety , Toxicology , and Environmental Science & Technology , emphasizing open-access research and interdisciplinary approaches to chemical safety.
