جست‌وجوی استاد و پژوهشگر

Raquel Fernándezمشاهده پروفایل

استاد

• Computational Linguistics
• Dialogue Systems
• Cognitive Science
• +۳ مورد دیگر

Raquel Fernández is Full Professor of Computational Linguistics and Dialogue Systems at the University of Amsterdam, where she leads the Dialogue Modelling Group at the Institute for Logic, Language & Computation (ILLC). As Vice-Director for Research at ILLC and a Fellow of the ELLIS Society, she bridges computational linguistics, cognitive science, and artificial intelligence through her research on language use in multimodal and conversational contexts. PhD in Computational Linguistics from King's College London Prior research positions at University of Potsdam and Stanford University's CSLI Her work explores how cognitive constraints, social interaction, and perception shape language use, with a focus on: Visually-grounded language processing Multimodal dialogue modeling Model uncertainty and calibration Language grounding in multimodal data Language learning and semantic change Dialogue reference resolution Recent publications analyze multimodal reasoning limitations, cross-lingual knowledge consistency, and uncertainty modeling in dialogue systems. She has received multiple accolades including an ERC Consolidator Grant , NWO VENI/VIDI/Aspasia fellowships , and EMNLP/GenBench awards . Outstanding Paper Award (EMNLP 2023) Best Data Award (GenBench Workshop 2023) ELLIS Society Fellow ERC Consolidator Grant #819455 recipient NWO VENI/VIDI/Aspasia awardee As a leader in academic service, she serves on the SIGDAT Executive Committee and chairs multiple conference committees. Her lab develops models for multimodal dialogue, visual storytelling, and grounded language understanding.

• Evolutionary Computation
• Machine Learning
• Natural Computing
• +۵ مورد دیگر

Thomas Bäck is a Professor at the Leiden Institute of Advanced Computer Science (LIACS) , Leiden University , Netherlands, and a member of the interdisciplinary programme Society, Artificial Intelligence and Life Sciences (SAILS) . His academic career spans roles at Leiden University (1996–present) and leadership positions at the Center for Applied Systems Analysis in Dortmund (1994–2000). Education : Diplom-Informatiker (Computer Science), Technische Universität Dortmund (1990) Dr. rer. nat. (Computer Science), Technische Universität Dortmund (1994) Research Interests : Dr. Bäck specializes in evolutionary computation , machine learning , and their applications in sustainable smart industry and healthcare . Recent work focuses on integrating large language models (LLMs) and quantum computing into optimization frameworks, with projects like CIMPLO (predictive maintenance), ECOLE (experience-based optimization), and SAPPAO (airline operations optimization). Scientific Contributions : His 526+ publications cover evolutionary algorithms, quantum optimization, and LLM-driven design, with recent trends including: Quantum computing (e.g., quantum approximate optimization, quantum advantage challenges) LLM integration (e.g., hyperparameter tuning, mutation control, code evolution graphs) Healthcare and industry (e.g., predictive maintenance, anomaly detection, melt quality prediction) Algorithm benchmarking (e.g., IOHprofiler, MA-BBOB, explainable benchmarking) Scientific Awards : IEEE Fellow (2022) Royal Netherlands Academy of Arts and Sciences (KNAW) member (2021) Academia Europaea member (2022) IEEE Computational Intelligence Society Evolutionary Computation Pioneer Award (2015) Fellow, International Society of Genetic and Evolutionary Computation (2003) Best Ph.D. thesis award, German Society of Computer Science (GI) (1995) Advising and Grants : He supervises Ph.D. candidates in evolutionary computation and machine learning and has secured 7 major grants from organizations like the Dutch Research Council , European Commission , and The Research Council of Norway . His editorial roles include Editor-in-Chief of the Evolutionary Computation Journal and associate editorships in leading AI journals.

• Data Collaboratives
• Digital Government
• Open Data
• +۵ مورد دیگر

Iryna Susha serves as an Assistant Professor in the Innovation Studies group within the Copernicus Institute of Sustainable Development at Utrecht University's Faculty of Geosciences. Her academic journey includes obtaining a PhD from Orebro University in Sweden, establishing her expertise in digital governance and data collaboration frameworks. Dr. Susha's research focuses on how organizations across different sectors can collaborate and leverage data to address 21st century societal challenges while contributing to sustainability goals. Her work spans digital government, open data initiatives, and data collaboratives for public good, with particular attention to cross-sector partnerships, data governance models, and the practical implementation challenges of data sharing initiatives. She has developed significant expertise in analyzing how data ecosystems can be structured to support societal benefits while navigating complex regulatory and organizational landscapes. Her publication record shows a clear evolution from early work on e-participation and open government data toward more sophisticated frameworks for data collaboratives and digital innovation for sustainability. The research demonstrates consistent engagement with practical implementation challenges while maintaining strong theoretical grounding in governance and organizational theory. Prizes & Grants (1) Dr. Susha actively supervises PhD candidates, currently guiding Dwayne Ansah's research on data donations for social good and Olafur Thorarensen's work on algorithmic decision systems in healthcare. She leads the "Digital Innovation" course where students develop critical understanding of digital innovations' societal and economic impacts. Additionally, she co-leads the Special Interest Group on Digitalization & AI for Sustainability (DAISY), which serves as a hub for interdisciplinary research on sustainable digital transformation. Her research connects with several major projects including the DATA ALLY project and Data Purchasing project, demonstrating practical applications of her theoretical work in real-world contexts. The DAISY group she co-leads provides an important forum for advancing research on sustainable digital innovation across disciplinary boundaries.

• Climate Change
• Ecological Resilience
• Tipping Points
• +۵ مورد دیگر

Marten Scheffer is a Full Professor at Wageningen University & Research , specializing in Aquatic Ecology and Water Quality Management . His work bridges ecology, climate science, and mental health, focusing on tipping points in ecosystems and social systems. He has received the prestigious Spinoza Prize 2009 , Netherlands' highest scientific honor. Research Interests: His research explores Anthropocene dynamics , ecological resilience , climate change impacts , and psychiatric disorders through dynamical systems theory . Notable projects include studying boreal forest collapse and trust dynamics in economies. His work also addresses global sustainability and early warning signals for critical transitions in social-ecological systems. Recent Articles: His 2025 publications highlight trust erosion in weak governance , ecological tipping points , and revolutionizing psychiatric diagnosis . 2024 work includes computational models of panic disorders and resilience indicators for disease outbreaks. Advising & Grants: He supervises PhD students including Agrawal (river commons), Capriati (marine protected areas), and Delecroix (infection warnings). Active in projects funded across ecosystem resilience , AI applications , and climate policy . Labs & Collaborations: Collaborates globally on tipping points research and mental health systems. Datasets include boreal forest dynamics and human climate niche models.

O.J. Luitenمشاهده پروفایل

استاد

• Quantum Physics
• Materials Science
• Nanotechnology
• +۴ مورد دیگر

O.J. Luiten is Full Professor in the Coherence and Quantum Technology group at Eindhoven University of Technology. His research focuses on fundamental quantum physics, materials science, nanotechnology, and life sciences, with emphasis on improving temporal resolution in electron microscopy and developing ultracold electron sources. He leads the Coherence and Quantum Technology group and is a core member of ICMS. His research interests center on quantum materials, ultrafast electron microscopy, and coherent light-electron interactions. Key areas include: Ultracold plasma applications for high-coherence electron sources Coherent manipulation of electron beams using laser light X-ray generation via electron beams His publications demonstrate a consistent focus on advancing charged particle beam technologies and light-matter interactions, with recent work emphasizing compact X-ray sources, ultrafast microscopy, and quantum electron manipulation. Scientific Awards: Smart*Light: Een tafelmodel synchrotron (2016) He leads multiple research projects including 'ICS-SAXS: Hard X-ray metrology' and 'Smart*Light 2.0', collaborating with institutions like ASML. Manages labs for ultrafast electron microscopy and quantum beam technology.

• Soil Science
• Measurement Error Analysis
• Soil Chemistry
• +۶ مورد دیگر

Cynthia van Leeuwen is a Postdoctoral Research Fellow at Wageningen University & Research , specializing in Soil Geography and Landscape . Her work focuses on quantifying uncertainties in soil data and improving spectral modeling techniques. PhD in Soil Science (completed Aug 2024) as part of a project on soil databases with quantified uncertainties Active collaborations with researchers like Gerard Heuvelink, V. L. Mulder, and N. J. Kuhn Dr. van Leeuwen's research interests span: Measurement error analysis in soil data Development of pedotransfer functions Soil chemistry and spectral modeling Environmental applications of uncertainty quantification Her publications demonstrate expertise in: Statistical modeling of soil measurement errors Calibration of spectral data Wind erosion and PM10 emissions analysis Dr. van Leeuwen has contributed to significant projects like The development and use of a soil database with quantified uncertainties (2019-2024), and her work has been cited over 80 times in academic literature.

• Clinical Child and Family Studies
• Adolescent Development
• Parent-Adolescent Relationships
• +۱۲ مورد دیگر

Loes Keijsers is a Full Professor in Clinical Child and Family Studies at the Department of Psychology, Education and Child Studies, Erasmus School of Social and Behavioural Sciences, Erasmus University Rotterdam. Her work focuses on adolescent development, parent-adolescent relationships, and the application of advanced methodological approaches such as Experience Sampling Methods to study daily emotional and behavioral dynamics in teens. Her research interests include: Clinical Child and Family Studies Adolescent mental health and well-being Parenting dynamics and autonomy support Statistical modeling and longitudinal analysis Digital interventions and e-health tools for youth Her recent publications highlight a strong trend in using intensive longitudinal data and mobile technology to understand heterogeneity in adolescent development and family processes. She emphasizes preregistered research and robust statistical models to enhance scientific rigor. Her work increasingly integrates digital tools such as smartphone apps and serious games (e.g., the Grow It! App) to promote adolescent mental health. Notable contributions include: Developing and evaluating e-health applications for adolescent depression Advancing ecological momentary assessment in family research Translating psychological research into public impact through TEDx talks and the book Waarom tieners zo irritant kunnen zijn Contributing to UN Sustainable Development Goals related to well-being and mental health She actively supervises research and has contributed to multiple datasets in the areas of social media use, adolescent well-being, and intensive longitudinal methods. Her collaborative network spans interdisciplinary teams working on youth mental health innovation. Loes leads the research project PROJECT ADAPT (www.projectadapt.nl), which aims to develop and implement personalized digital tools to support adolescent mental health and family functioning. She is also active on social media (Twitter: EUR_ADAPT) and engages in public science communication through platforms like TEDx and Universiteit van Nederland.

• Stochastic Processes
• Operations Research
• Data-Driven Decision Making
• +۴ مورد دیگر

Stella Kapodistria is an Associate Professor at Eindhoven University of Technology's Department of Mathematics and Computer Science, specializing in Stochastic Operations Research. She holds roles as EAISI High Tech Systems Associate Professor and editorial board member of journals like MCAP and PEIS. Her research focuses on data-driven decision-making, stochastic systems optimization, and maintenance policies, with applications in renewable energy, critical infrastructure, and cryptocurrency networks. She has secured grants including NWA-ORC, NWO Big Data, and TKI WoZ, and collaborates with industry partners in the Brainport region. Education: BSc (2003), MSc (2006, Hons.), and PhD (2009, summa cum laude) in Mathematics from the University of Athens. Postdoc at TU/e, followed by roles at Groningen University and TU/e's Stochastic Operations Research group. Teaching includes courses on Optimal Decision Making, Stochastic Performance Modeling, and Financial Mathematics. Research interests emphasize real-time learning, system resilience, and scalable algorithms for complex networks. Recent work addresses maintenance logistics, blockchain confirmation times, and wind energy prediction. She has published over 40 peer-reviewed articles and contributed to the 4TU Resilience Engineering Center. Awards include editorial leadership roles and grant funding. Advised 32 academic works and oversees industrial projects bridging theory and practice. Her labs and collaborations focus on adaptive systems, predictive analytics, and sustainable engineering solutions.

Peter Groot Koerkampمشاهده پروفایل

استاد

• Agricultural Engineering
• Environmental Engineering
• Animal Production Systems
• +۷ مورد دیگر

Prof. Peter Groot Koerkamp is a Professor and Managing Chairholder at the Agricultural Biosystems Engineering group at Wageningen University. His expertise spans agricultural engineering, environmental systems, and sustainable livestock production. He holds an MSc (1990) and PhD (1998) from Wageningen University, with a focus on ammonia emissions from poultry systems. He has held roles as a researcher, project manager, and senior scientist across multiple institutes before joining Wageningen University in 2005. His research emphasizes sustainable agricultural systems, including manure/nutrient management, gaseous emissions, and animal welfare. He leads projects on methane monitoring in dairy cows, climate control in livestock housing, and bioenergy from segregated excreta. He supervises over 50 PhD students and collaborates on initiatives like the National Growth Fund’s regenerative agriculture projects. Notable projects include Synergia (optimizing dairy systems) and collaborations with the European Society of Agricultural Engineers (EurAgEng). His work integrates environmental engineering with technological innovation, addressing challenges like particulate matter reduction in poultry houses and precision livestock farming.

• Inflammatory Bowel Disease
• Crohn's Disease
• Biomarkers
• +۳ مورد دیگر

Prof. G. Dijkstra is a faculty member at the University of Groningen's Faculty of Medical Sciences, affiliated with the Nutrition Research in Medicine (NiM) department. His academic rank is Professor. He specializes in inflammatory bowel disease (IBD), Crohn's disease, and transplantation medicine. His research focuses on diet-nutrition interactions, biomarker discovery, and clinical outcomes in gastrointestinal disorders. He has been recognized with the Inspirator Prize (2024) from the Dutch Society 100%. Research interests include IBD pathophysiology, dietary impact on disease activity, and post-transplantation outcomes. Key collaborations include the Dutch Initiative on Crohn and Colitis (ICC) and the Groningen Institute for Organ Transplantation (GIOT). His work spans over 400 publications, emphasizing translational research and clinical applications. Recent studies explore biomarkers in pregnancy with IBD, dietary patterns predicting flares, and cellular signatures in intestinal grafts. He leads multidisciplinary teams addressing inflammation, oxidative stress, and surgical outcomes. Key articles from 2025 include diet-quality studies, Vedolizumab case reports, and risk stratification models for Crohn's recurrence. His work bridges basic science and clinical practice, with a focus on improving patient outcomes through personalized approaches.

Frank van der Duijn Schoutenمشاهده پروفایل

استاد مهمان

• Operations Research
• Applied Mathematics
• Statistical Modeling
• +۳ مورد دیگر

Frank van der Duijn Schouten is a Visiting Professor at the Department of Econometrics and Operations Research, Vrije Universiteit. He previously served as Rector Magnificus at Vrije Universiteit (2013-2015) and held leadership roles at Tilburg University, including Rector Magnificus and Dean (1987-2013). He obtained his PhD in Operations Research from Leiden University in 1979. His research focuses on stochastic processes, particularly nonhomogeneous Poisson processes, power law models, and applications in reliability engineering and quality control. He has published extensively on topics like statistical modeling in group testing and operational research applications. His work combines theoretical advancements in statistical methodologies with practical applications in quality control, epidemiological modeling, and system optimization. Despite no publicly listed scientific awards, his contributions to academic leadership and operations research are notable. Frank has advised on research projects involving stochastic systems and testing models, though specific student/advisor relationships are not documented here. His research has implications for improving efficiency in healthcare diagnostics, manufacturing quality systems, and public health monitoring frameworks.

Jelle de Vriesمشاهده پروفایل

دانشیار

• Operations Management
• Behavioral Operations
• Incentive Systems
• +۳ مورد دیگر

Jelle de Vries is an Associate Professor of Operations Management at Rotterdam School of Management (RSM), Erasmus University. He focuses on behavioral characteristics in operational settings, publishing in top journals like the Journal of Operations Management (JOM) and Production and Operations Management (POM). He serves as an Associate Editor at JOM and previously worked as an Assistant Professor at VU University Amsterdam. He holds a PhD (cum laude) and MPhil from RSM. His research explores topics such as incentive systems, individual differences in operations, and customer behavior in service industries. Notable projects include studies on order-picking performance, restaurant analytics, and the impact of waiting times on revenue. In 2018, he received a VENI research grant for Behavioral Operations research. His doctoral work earned the Jo van Nunen award for best logistics-related PhD in the Netherlands. Education: PhD (cum laude), Rotterdam School of Management MPhil, Rotterdam School of Management Awards: Jo van Nunen award (2016) Jack Meredith Best Paper Award (2019) TRAIL2014 Best Student Paper Award (2014) His work bridges behavioral science with operational systems, emphasizing practical applications in logistics and service industries. Current research trends include analytics-driven decision-making and incentive design for operational efficiency.

• Operations Management
• Quality Control
• Process Improvement
• +۵ مورد دیگر

Prof. dr. Jeroen de Mast is a faculty member at the University of Amsterdam (UvA) , affiliated with the Faculty of Economics and Business and the Section Business Analytics . His research focuses on Lean Six Sigma , statistical engineering , and diagnostic problem solving , with applications in healthcare operations and industrial processes. He has authored numerous publications on topics such as variation reduction, measurement systems, and quality improvement frameworks. Academic Rank: Professor Contact: j.demast@uva.nl Research Trends (2019–2025): His work spans operational excellence , appointment scheduling optimization , and statistical validation , emphasizing interdisciplinary collaboration between statistics, healthcare, and business analytics. Key methodologies include DMAIC , DAPS diagrams , and adaptive polynomials .

Edith Feskensمشاهده پروفایل

استاد

• Nutritional Epidemiology
• Public Health
• Metabolic Syndrome
• +۷ مورد دیگر

Prof. Edith Feskens is a renowned academic in Human Nutrition and Health at Wageningen University & Research, holding the Chair of Global Nutrition. She earned her MSc from Wageningen University (1987) and PhD from Leiden University (1991), focusing on glucose tolerance and cardiovascular epidemiology. Her career spans roles at the RIVM (until 2005), leading to her academic appointments at Wageningen. She currently co-leads the Gerrit Grijns Initiative and serves as a Theme Leader at OnePlanet Research Center. Her expertise spans epidemiology, cardiovascular diseases, metabolic syndrome, and global nutrition, with a focus on sustainability and LMICs. Key research areas include dietary interventions (e.g., SLIMMER program), vitamin requirements in obesity, fermented foods’ cardiometabolic effects, and night-shift nutrition. She leads projects on maternal-child nutrition, smartphone dietary tools (Traqq), and global food systems. Her work emphasizes translating research into policy, such as the SLIMMER program’s inclusion in Dutch health insurance. Her scientific contributions span over 200 publications, addressing topics like dietary patterns, micronutrient status, and health outcomes. She chairs international committees (e.g., IUNS Council) and advises organizations like the Dutch Diabetes Foundation. Her lab focuses on nutrition across the life course and global health equity, balancing public health impact with methodological innovation in dietary assessment technologies.

Haidar Sametمشاهده پروفایل

پژوهشگر

• Power Systems
• Electrical Engineering
• Renewable Energy
• +۴ مورد دیگر

Haidar Samet is a Researcher in the Department of Electrical Engineering at Eindhoven University of Technology, focusing on power systems, electric arc furnaces, and fault detection. He previously held academic roles at Shiraz University, including Professor (2018–2020), Head of Department of Power and Control (2017–2019), Associate Professor (2014–2018), and Assistant Professor (2008–2014). His research bridges electrical engineering fundamentals with practical applications in renewable energy and grid reliability. Research Interests: Electric Arc Furnace Modeling and Optimization Fault Detection in Power Systems and Photovoltaic Systems Grid Protection Mechanisms Renewable Energy Integration and Smart Grid Technologies Power Quality Analysis Publications highlight advancements in arc fault modeling, transformer protection algorithms, and renewable energy system optimization. His work frequently addresses challenges in grid stability, energy efficiency, and predictive maintenance. No scientific awards or grants were explicitly mentioned in the provided materials.