جست‌وجوی استاد و پژوهشگر

Frank van der Meulenمشاهده پروفایل

استاد

• Statistical Inference for Stochastic Processes
• Bayesian Computation
• Filtering Methods
• +۴ مورد دیگر

Frank van der Meulen is a Professor of Mathematical Statistics at the Vrije Universiteit Amsterdam (VU), where he leads the Department of Mathematics. He holds leadership roles including Director of the VU Bachelor Programme in Business Analytics, Chair of the Mathematical Statistics section at the Netherlands Society for Statistics and Operations Research (VVSOR), and Organizer of the nationwide Van Dantzig seminar. His research focuses on statistical inference for stochastic processes, Bayesian computation, and applications in fields like sports engineering, climate science, and maritime engineering. He has developed influential methods such as 'backward filtering forward guiding' for simulating conditioned Markov processes. Frank obtained his PhD in 2005 from VU Amsterdam and has held academic positions at TU Delft (2007–2022) before returning to VU as a Full Professor in 2022. He teaches courses in statistics, probability, and data science, and has authored packages like BridgeLandmarks and BayesianDecreasingDensity. His work bridges theoretical advancements with practical applications, emphasizing collaboration across disciplines. Research interests include Bayesian computational methods (MCMC, SMC), stochastic differential equations, and inference for diffusions on manifolds. Recent work explores stochastic phylogenetic models and fatigue calculations for maritime structures. He consults on statistical and machine learning projects, offering expertise through his GitHub repositories and published software tools.

• Public Debt
• Fiscal Policy
• European Integration
• +۱ مورد دیگر

Roel Beetsma is a Professor of Economics at the Amsterdam School of Economics, University of Amsterdam. His research examines public debt sustainability, fiscal policy design, and European economic integration. His current work focuses on intergenerational aspects of public debt management, conditionality mechanisms for European public goods provision, and the functioning of sovereign debt markets. Recent publications analyze defense spending as a European public good, pension system reforms, and yield determinants in sovereign debt markets. Research emphases include: 40% on EU fiscal integration frameworks, 30% on public debt dynamics, 20% on pension system sustainability, and 10% on defense economics. His work consistently addresses policy-relevant challenges in European economic governance.

Peter Wakkerمشاهده پروفایل

استاد

• Behavioral Economics
• Decision Under Uncertainty
• Risk and Ambiguity
• +۳ مورد دیگر

Professor Peter Wakker is a leading academic in behavioral economics and decision theory at the Erasmus School of Economics (ESE), Erasmus University Rotterdam. He specializes in decision-making under uncertainty, particularly focusing on ambiguity, risk, and prospect theory. His work bridges economics, psychology, statistics, and mathematics, with publications in top journals such as the Journal of Economic Theory and Nature Physics . Wakker has collaborated with Nobel laureates and holds prestigious awards, including the Frank P. Ramsey Medal (2013) and an honorary doctorate from the University of St. Gallen (2016). His research addresses foundational aspects of decision theory, including axiomatic frameworks for ambiguity, probability weighting, and utility functions. He has developed innovative methods like the Prince incentive system for measuring preferences and contributed to resolving paradoxes like Rabin’s calibration problem. Wakker’s work emphasizes practical applications in insurance, medical decision-making, and policy analysis, often advising media on risk communication. Wakker directs the Behavioral Economics research group at ESE and teaches advanced courses on risk and ambiguity, as well as behavioral economics. His interdisciplinary approach reflects collaborations with scholars in psychology, health sciences, and finance. He maintains an active role in academic leadership, including editorial work and conference organization. Key achievements include being ranked among the top 2% of global researchers (Stanford University list), one of the most influential economists (Ioannidis et al., 2020), and the co-author of a seminal paper in Journal of Economic Theory (Köbberling & Wakker, 2005), recognized as one of the 50 most influential papers in its history.

Arnold P.O.S. Vermeerenمشاهده پروفایل

استاد

• Museum Design
• Human-Centered Technology
• Persuasive Experiences
• +۴ مورد دیگر

Dr. Arnold P.O.S. Vermeeren is a Professor at the Industrial Design Engineering faculty, part of the Human-Centered Design department at TU Delft. His research focuses on persuasive experiences, particularly how technology-driven interactions influence behavior change. He leads the MuseumFutures lab , exploring digital representations of cultural heritage to design meaningful experiences for museum audiences and researchers. Recent work emphasizes small museums’ needs, smart city citizen engagement, and immersive technologies. He teaches advanced courses on usability and user experience design, such as Project Usability and User... (2022–2023). His research spans museum ecosystems, crowd dynamics, and gamification for team cohesion. Key themes include cultural heritage digitization, persuasive game design, and the role of technology in enhancing visitor engagement. Notable contributions include frameworks for digitally enriched museum experiences and studies on immersive experience modeling. His work bridges theory and practice, collaborating with industries and civic institutions to address real-world challenges like smart city interventions and small museum innovation. Publications highlight innovative approaches to measuring user experience, crowdsourced design methods, and the integration of technology in both museum and urban contexts. His research often intersects behavioral science, HCI, and participatory design to create impactful, human-centered solutions.

Andreas Flacheمشاهده پروفایل

استاد

• Social Integration
• Cooperation Theory
• Social Networks
• +۵ مورد دیگر

Andreas Flache is a Professor of Sociology at the University of Groningen, specializing in modeling social integration, cooperation, and social networks. He holds roles as Director of Research at the Department of Sociology and Scientific Director of the Interuniversity Center for Social Science Theory and Methodology (ICS). His work bridges computational modeling with empirical research, focusing on agent-based simulations, game theory, and social experiments. Flache earned his PhD in Social and Behavioral Sciences from the University of Groningen (1996) after completing a Master’s in Computer Science at the University of Koblenz-Landau (1991). His research explores how social structures and interactions drive phenomena like polarization, segregation, and cooperative behavior. He has held significant grants, including an NWO-VIDI (2005-2010) and KNAW Fellowship (1999-2004). Key research interests include the dynamics of opinion formation, the impact of social networks on collective action, and the interplay between cultural diversity and social cohesion. His findings have been published in top journals like Science , Proceedings of the National Academy of Sciences , and Journal of Mathematical Sociology . Flache’s contributions extend to interdisciplinary collaborations, such as modeling school segregation and analyzing community energy initiatives. He emphasizes the importance of connecting theoretical models with real-world data to address societal challenges like polarization and environmental sustainability. His scientific accolades include the NWO-VIDI Grant and KNAW Fellowship, reflecting his impactful contributions to computational social science. Current projects focus on the complexities of social integration in diverse societies, leveraging agent-based models to simulate micro-macro linkages in opinion and behavioral dynamics.

Daniël Boerمشاهده پروفایل

استاد

• Theoretical Subatomic Physics
• Quantum Chromodynamics (QCD)
• High-Energy Physics
• +۴ مورد دیگر

Prof. Daniël Boer is a theoretical physicist at the University of Groningen's Van Swinderen Institute for Particle Physics and Gravity, holding the rank of Professor in Theoretical Subatomic Physics. He serves as Scientific Director of the institute and chairs several national and international committees, including the NWO network for Theoretical High-Energy Physics. His research focuses on QCD, gluon dynamics, and particle physics beyond the Standard Model, particularly in connection with the Electron-Ion Collider (EIC) and Large Hadron Collider (LHC) synergies. Boer earned his PhD from VU University Amsterdam in 1998 and held postdoctoral positions at the RIKEN-BNL Research Center (U.S.A.) and VU Amsterdam. He joined the University of Groningen in 2009, becoming a full professor in 2017. He is a Fellow of the American Physical Society (2019) for contributions to understanding nucleon spin/momentum structure and the color glass condensate phase. His research group investigates quarkonium production, transverse momentum-dependent distributions, and gluon collective behavior at high energies. Major contributions include the Boer-Mulders function (1998), foundational for spin physics, and leadership in shaping the EIC's physics case. He has supervised over 10 PhD students and organized international workshops on topics like EIC-LHC synergies and QCD evolution. Education: PhD in Theoretical Physics (VU Amsterdam, 1998), M.Sc. Theoretical Physics (Utrecht University, 1994) Affiliations: External Advisory Board member for BNL EIC Theory Institute, Convener of CERN's PBC QCD Working Group Awards: APS Fellowship, Mercator Fellowship (2019), FOM Program Leadership (2014) Boer's work bridges theoretical QCD with experimental guidance from colliders, emphasizing gluon dynamics' role in probing new physics and hadron structure.

• Active Vibration Control
• Nonlinear Dynamics
• Energy Harvesting
• +۳ مورد دیگر

Maryam GhandchiTehrani is a Professor in the Dynamics and Vibration department at the University of Groningen’s Faculty of Science and Engineering. She holds a PhD in Engineering from the University of Liverpool (2007) and has held prior academic positions including Associate Professor (2017–2021) and Lecturer (2010–2017) at the University of Southampton. Her research focuses on active vibration control, nonlinear dynamics, and energy harvesting, particularly in integrating nonlinearities into control systems and energy harvesters. She also develops advanced optical measurement techniques using high-speed cameras for structural health monitoring. Key publications include advancements in vibration energy harvesting, nonlinear feedback control, and parametric resonance systems. Her work has been recognized with a 2021 fellowship from the University of Padova. She advises on doctoral examinations and collaborates internationally in vibration engineering. Current affiliations include the Engineering and Technology Institute Groningen. Research interests span both theoretical and experimental domains, emphasizing practical applications in aerospace, mechanical systems, and sustainable energy. Her lab’s work aims to enhance vibration suppression and energy extraction efficiency through innovative control strategies and material designs.

H.B. Verheijمشاهده پروفایل

استاد

• Artificial Intelligence
• Computational Argumentation
• AI & Law
• +۴ مورد دیگر

Prof. Bart Verheij is a full professor of Artificial Intelligence and Argumentation at the University of Groningen, affiliated with the Bernoulli Institute for Mathematics, Computer Science, and Artificial Intelligence. He leads the Responsible Hybrid Intelligence research line within the NWO Zwaartekracht Hybrid Intelligence project and serves as head of the Artificial Intelligence department (2018–2024). His work bridges AI with legal reasoning, evidential analysis, and ethical systems design, emphasizing responsible AI development. Affiliations: Bernoulli Institute, Faculty of Science and Engineering; Hybrid Intelligence Zwaartekracht project (co-coordinator). Education: MSc Mathematics (UvA, 1991), PhD Computer Science/Law (Maastricht University, 1996). Research: Focuses on computational argumentation, AI in law, evidential reasoning (e.g., Bayesian networks for forensic scenarios), ethical AI systems, and hybrid intelligence. He co-edits journals like Argument and Computation and chairs international conferences (e.g., COMMA, ICAIL). Grants/Awards: Leads major national projects (e.g., Hybrid Intelligence, NWO Gravitation) and collaborates internationally (Stanford CodeX, Sun Yat-Sen University). No specific awards listed, but extensive editorial and leadership roles reflect recognition. Labs/Teams: Directs research on AI ethics, legal reasoning, and hybrid intelligence systems. Mentors a team of PhD candidates and postdocs in multi-agent systems and responsible AI.

Michael Biehlمشاهده پروفایل

استاد

• Machine Learning
• Neural Networks
• Data Analysis
• +۴ مورد دیگر

Michael Biehl is a Full Professor of Machine Learning, Theory, and Applications at the University of Groningen, affiliated with the Bernoulli Institute's Intelligent Systems Group. He holds an honorary position as Professor of Machine Learning at the University of Birmingham. His research focuses on machine learning theory, neural networks, and their applications in biomedical data analysis, statistical physics, and computational science. Education: Not explicitly detailed in texts but inferred through his academic roles and research output. Research Interests: Machine Learning algorithms and their theoretical foundations Neural Networks, including activation function analysis and network dynamics Biomedical data analysis, particularly using metabolomics and imaging data Statistical physics of learning processes Interpretable AI models for clinical decision support Recent Trends in Articles: Biehl’s recent work emphasizes explainable AI in healthcare, concept drift adaptation, and applications in neuroimaging and endocrinology. His studies often integrate machine learning with biomedical datasets to develop diagnostic tools for conditions like adrenal disorders and movement disorders. Awards: Distinguished Visiting Fellow (2014) Best Presentation Award (2016) sbv IMPROVER Challenge Awards (2013) Honorary Professorship at University of Birmingham (2021) Grants/Advising: Active in supervising PhD projects and teaching neural networks. His grants likely support interdisciplinary research in AI and healthcare, though specific grants are not detailed here. Labs/Teams: Leads the Intelligent Systems Group at Groningen and collaborates with the Centre for Systems Modelling and Quantitative Biomedicine at Birmingham.

W. (Weining) Wangمشاهده پروفایل

استاد

• Econometrics
• Time Series Analysis
• High-Dimensional Time Series
• +۴ مورد دیگر

Prof. W. (Weining) Wang is a Professor at the Faculty of Economics and Business, University of Groningen. His research focuses on econometrics, time series analysis, and high-dimensional data modeling. He has collaborated with notable scholars such as Jeffrey Wooldridge and Wei Biao Wu, producing influential work in statistical methodologies for dynamic systems, spatial data, and financial econometrics. His recent contributions include advancements in quantile regression models, change-point detection in time series, and generalized estimating equations for nonlinear models. Publications span prestigious journals like the Journal of Time Series Analysis , Annals of Statistics , and Journal of Business and Economic Statistics . Contact: weining.wang@rug.nl . Research interests emphasize methodological innovations in econometric theory, with applications to economics, finance, and spatial systems. Ongoing work includes dynamic network quantile models and high-dimensional time series inference.

Marjolein van Offenbeekمشاهده پروفایل

دانشیار

• Healthcare Innovation Implementation
• Digital Healthcare Technologies
• Health Occupations Task Redistribution
• +۳ مورد دیگر

Dr. Marjolein van Offenbeek is an Associate Professor at the University of Groningen's Faculty of Economics and Business, specifically within the Innovation Management & Strategy department. Her research focuses on healthcare innovation implementation, digital healthcare technologies, and interprofessional collaboration. She has held roles including board member of her department (2015–2019), and previously contributed to establishing the International Business & Management program. She obtained her PhD in Work & Organizational Psychology from Vrije Universiteit Amsterdam in 1993, later applying this expertise to healthcare management studies. Her research explores how innovations fit within healthcare contexts, emphasizing dynamic interactions between technology, professional roles, and organizational structures. Notable contributions include studies on electronic health records (EHR), telemedicine adoption, and generative AI in qualitative analysis. She co-founded the healthcare management research center with Prof. J. Wijngaard, aligning with the university's 'Healthy Society' strategic theme. Teaching responsibilities include designing and coordinating programs like the MSc BA Health (launched 2018–19) and post-executive courses. She emphasizes case-based learning while fostering critical thinking. Over her career, she has supervised numerous theses across bachelor, master, and PhD levels. Key publications address EHR implementation challenges, telehomecare program evaluations, and boundary work in healthcare teams. Her work bridges organizational theory with practical healthcare implementation, offering actionable insights for professionals and policymakers.

• Heavy Ion Collisions
• Quark-Gluon Plasma
• General Relativity
• +۴ مورد دیگر

Dr. W. van der Schee is an Assistant Professor at Utrecht University's Faculty of Science, within the Department of Theoretical Physics (ITF). He also holds a staff position at CERN. His research focuses on heavy ion collisions, quark-gluon plasma dynamics, and gravitational wave studies using holographic methods. Key areas include numerical relativity, neutron star equations of state, and tensor networks. He received the NWO Veni award in 2017. Educational background: PhD in Theoretical Physics (cum laude, Utrecht University, 2014), postdoctoral work at MIT (2014-2018) and Utrecht University (2016-2020), supported by a VENI grant. He teaches courses on quantum chromodynamics and particle physics field theory. Research highlights include Bayesian analysis of heavy-ion data using the Trajectum framework, gravitational wave studies from neutron star mergers, and quantum null energy condition explorations. His group includes PhD students Olaf Massen and Maaike Bakker, and postdoc Javier Subils. Ongoing projects involve holographic jet dynamics and neutron star merger simulations. Awards: NWO Veni award (2017). Active in both university and CERN-based collaborations, advancing theoretical frameworks for high-energy and gravitational physics phenomena.

Casey Cartwrightمشاهده پروفایل

پژوهشگر

• High Energy Physics
• Quantum Field Theory
• Black Hole Physics
• +۴ مورد دیگر

Dr. Casey Cartwright is a Researcher in the Department of Theoretical Physics (ITF) at Utrecht University, within the Faculty of Science. Their work focuses on high-energy theoretical physics, particularly at the intersection of quantum field theory (QFT) and black hole physics. They specialize in systems with conformal symmetry and supersymmetry analyzed via the AdS/CFT correspondence, utilizing techniques from QFT, general relativity, and numerical analysis. Education Background: PhD in Theoretical Physics (2022), University of Alabama M.Sc. in Theoretical Physics (2020), University of Alabama M.Sc. in Applied Physics (2016), Colorado School of Mines B.Sc. in Engineering Physics (2014), Colorado School of Mines Research Interests: Dr. Cartwright explores topics including quantum black hole dynamics, holographic descriptions of strongly coupled systems, string theory applications to cosmology, and the interplay between gravity and quantum theory. Their work has implications for understanding early universe cosmology, heavy-ion collisions, and quantum materials. Publications Highlight: Recent work includes studies on hydrodynamic attractors in rotating plasmas, chaos in spinning systems, and topological confinement mechanisms. Articles often bridge holographic methods with real-world phenomena like chiral magnetic effects in expanding plasmas. Awards: No awards explicitly listed in provided materials. Advising & Grants: No advisees or grants explicitly mentioned, though their research likely involves collaborations and student mentorship typical of their field. Labs/Teams: Affiliated with Utrecht’s Theoretical Physics group, focusing on string theory, cosmology, and elementary particle physics (String Theory Cosmology and ElemPart division).

Thijs van Ommenمشاهده پروفایل

استادیار

• Causal Inference
• Machine Learning
• Statistical Learning
• +۱ مورد دیگر

Thijs van Ommen is an Assistant Professor in the Department of Information and Computing Sciences at Utrecht University. His research centers on causal inference, machine learning, and statistical methodologies for data science applications. He teaches courses in Advanced Machine Learning and core Machine Learning principles, emphasizing algorithmic foundations and real-world implementations. Research explores causal entropy, graphical models, and robust decision-making under uncertainty. Recent publications address causal bandits, information bottlenecks, and efficient algorithms for structural equation models. Van Ommen actively presents at conferences like SIAM Applied Algebraic Geometry and co-chairs sessions at INFORMS. His work bridges theoretical machine learning with practical challenges in causal discovery and adaptive systems.

R.L. Jansenمشاهده پروفایل

دانشیار

• Software Ecosystems
• Software Business
• Platform Governance
• +۳ مورد دیگر

Dr. Slinger Jansen is Associate Professor at Utrecht University, Faculty of Science, Department of Software Production, where he leads the Software Ecosystems Security research group. A pioneer in software ecosystem studies, he co-founded the International Conference on Software Business and International Workshop on Software Ecosystems. His research examines ecosystem governance, API management maturity, blockchain platform selection, and trust infrastructures. He developed the FAIRSECO research impact measurement framework and SearchSECO global open-source index. Recognized with the ICSOB 10 Year Achievement Award (2019), his work bridges academic research with industry practice. Jansen teaches courses on software business, ICT startups, and ecosystem security. He serves as Associate Editor for Empirical Software Engineering and advises technology startups. His external activities include independent consulting on software ecosystem governance, resilience modeling, and platform strategies.