جست‌وجوی استاد و پژوهشگر

Matthias Schlottbomمشاهده پروفایل

دانشیار

• Numerical Analysis
• Computational Mathematics
• Radiative Transfer
• +۴ مورد دیگر

Matthias Schlottbom is an Associate Professor specializing in Mathematics of Computational Science, with a focus on numerical methods and their applications in physics, biology, and engineering. His research integrates advanced computational techniques with interdisciplinary problems, including radiative transfer, photonic crystals, and chemotaxis modeling. Research Interests: Schlottbom’s work spans numerical analysis, finite element methods, and machine learning. He develops high-order discretization schemes, iterative solvers for anisotropic transport, and mathematical frameworks for biological network formation. Publications: Recent articles highlight his contributions to accelerating radiative transfer simulations, extending component mode synthesis for Helmholtz equations, and analyzing diffusion limits in kinetic models. His work often bridges computational mathematics with practical applications in photonics and multiscale systems. Collaborations: He actively collaborates on datasets for optical simulations, radiative transfer algorithms, and photonic crystal modeling, contributing to open-access repositories like 4TU.Centre and Zenodo. Activities: Schlottbom has organized workshops such as the Kinetic Theory Workshop in the Netherlands and delivered keynotes on residual minimization and data-driven methods for transport equations. Scientific Awards: No specific awards or fellowships are mentioned in the provided materials. Advising & Grants: Details about students, advising roles, or grant funding are not included in the available data.

Federico Toschiمشاهده پروفایل

استاد

• Fluid Dynamics
• Statistical Physics
• Soft Condensed Matter
• +۵ مورد دیگر

Federico Toschi is a Full Professor at Eindhoven University of Technology (TU/e), holding joint appointments in Applied Physics and Mathematics and Computer Science departments. His research focuses on multi-scale transport phenomena, combining statistical physics, fluid dynamics, and computational methods. He leads projects in the 4TU Centre for Multiscale Phenomena and EAISI. Education: PhD in Physics (University of Pisa, 1998) and academic background at Scuola Normale Superiore di Pisa. Interdisciplinary expertise in fluid dynamics turbulence, Lagrangian turbulence, crowd dynamics, and Lattice Boltzmann methods. Recipient of APS Fellow (2015), Euromech Fluid Mechanics Fellow (2012), and Ig Nobel Prize for Physics (2021). Research emphasizes turbulence modeling, pedestrian dynamics, and active matter, with applications in environmental flows and crowd management. His work bridges computational innovations with experimental validations. Recent articles explore kinetic data-driven turbulence modeling, pedestrian flow optimization, and turbulence effects in biological systems. Projects include digital twins for seismicity modeling and rarefied gas dynamics. Teaches fluid mechanics, computational physics, and chaos theory courses. Founded Flow Matters Holding BV, applying research to practical solutions.

• Stochastic Processes
• Modeling
• Simulation
• +۳ مورد دیگر

H.A.P. Blom is a Professor in Aerospace Engineering, specializing in Operations & Environment. His research spans stochastic processes , unmanned aircraft systems (UAS) , and safety risk analysis , with a focus on modeling, simulation, and safety assurance for future air transportation systems. Recent work addresses 2050 sustainable aviation goals through engineering challenges. Investigates UAS-human collision risks and impact mitigation strategies. Develops advanced regime-switching jump diffusion models for stochastic systems. Blom's publications highlight interdisciplinary approaches combining aircraft design , risk modeling , and human safety in aviation contexts. Key collaborations include studies on parachute systems for UAS and interdisciplinary risk analysis frameworks.

Julia Cramerمشاهده پروفایل

استادیار

• Quantum Science
• Quantum Technology
• Science Communication
• +۷ مورد دیگر

Julia Cramer is an Assistant Professor in the Department of Science Communication and Society at the Institute of Biology Leiden (IBL), Leiden University, with a joint affiliation at the Leiden Institute of Physics (LION). Her research focuses on the intersection of quantum science and technology with society, particularly through the lens of science communication, public engagement, and societal readiness. She leads the Quantum and Society research group and is actively involved in national and European initiatives on the Ethical, Legal, and Societal Aspects (ELSA) of quantum technology. PhD in Applied Physics, Delft University of Technology Member of the Dutch Physics Association (NNV) Co-founder of Women in Quantum Development (WIQD) Chair of the Young Academy Leiden (from 2023) Former member of the CBS communicatie-adviesraad Member of the Physics Scientific Advisory Board of the Lorentz Center Julia Cramer's research interests lie at the intersection of quantum technology and society. She investigates how quantum science is communicated to the public, how societal groups perceive quantum technologies, and how to foster inclusive and responsible innovation. Her work emphasizes broadening youth participation in STEM and enhancing diversity in quantum fields. She is passionate about making quantum accessible to non-expert audiences and ensuring that technological development aligns with societal values. Her recent publications reflect a strong trend in science communication, public perception, and societal integration of quantum technologies. Themes include measuring public attitudes, designing effective outreach interventions, promoting diversity, and addressing ethical implications. The research combines qualitative and quantitative methods to assess communication strategies and societal impacts. Casimir Prize (during PhD) Recognized as one of the Faces of Science by KNAW Julia Cramer supervises several PhD candidates and is involved in mentoring early-career researchers. She has led initiatives such as the Women in Quantum Development (WIQD) and contributes to national science policy through advisory roles. Her research is supported by collaborations with Quantum Delta NL and other European networks focused on responsible quantum innovation. She leads the Quantum and Society research group, which focuses on content analysis of quantum communication, developing attitude measurement tools, and evaluating the impact of public engagement interventions. The group collaborates with physicists, social scientists, educators, and policymakers to ensure a multidisciplinary approach to quantum-society integration.

• Stochastic Processes
• Queueing Theory
• Probability Theory
• +۷ مورد دیگر

Michel Mandjes is a Professor at the University of Amsterdam's Faculty of Science and holds a Visiting Professor position at the Faculty of Economics and Business (FEB). His research focuses on stochastic processes, queueing theory, and probability theory, with applications in risk modeling, network analysis, and operations research. Recent publications highlight his contributions to multivariate Hawkes processes , Lévy-driven systems , and dynamic random graphs , emphasizing large deviations, rare event simulation, and statistical inference. His work bridges theoretical probability with practical challenges in traffic flow, financial risk, and social network modeling. The trends in his research include the development of stochastic models for network stability, appointment scheduling optimization, and inference techniques for non-stationary processes. His methodological innovations often leverage advanced probability theory and queueing frameworks to address real-world problems in transportation, healthcare, and finance.

Charles van Marrewijkمشاهده پروفایل

استاد

• Economic Growth and Development
• Geographical Economics
• International Trade
• +۴ مورد دیگر

Prof. Charles van Marrewijk is a Professor of Economics and Head of the Department at the Utrecht University School of Economics (Utrecht University, since 2008). He specializes in International Trade, International Macroeconomics, Regional Science, and Economic Development. He holds academic leadership roles, including former Head of Research at institutions like the Tjalling Charles Koopmans Institute (2009–2013) and the Utrecht University School of Economics Research Institute (2018–2022). Education: Erasmus University Rotterdam (BSc/MSc, 1981–1985) and Purdue University (PhD, 1985–1988). Career highlights include roles at the University of Groningen (1987–1990), Erasmus University Rotterdam (1990–2008), and Xi'an Jiaotong-Liverpool University (2014–2017). Research focuses on geographical economics, economic growth, and institutions. Key themes include the Belt and Road Initiative's impact, urban development in China, and global supply chains. He has authored over ten books, including International Economics and Business (Cambridge University Press) and edited three journals. His work emphasizes policy-relevant analysis, such as trade dynamics and sustainability pathways. Publications include influential studies on Dutch cities' comparative advantages, cross-border mergers in the U.S., and demographic shifts' effects on global income inequality. His research bridges theory and policy, addressing contemporary challenges like slowbalization and regional resilience.

George Vosselmanمشاهده پروفایل

استاد

• Photogrammetry
• Remote Sensing
• Laser Scanning
• +۷ مورد دیگر

George Vosselman is a Full Professor at the University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC), specializing in Geo-Information Extraction with Sensor Systems. Educated with honours at Delft University of Technology (1986) and PhD in Photogrammetry from Rheinische Friedrich Wilhelms University of Bonn (1991), he has held academic roles at the University of Stuttgart, University of Washington, and Delft University of Technology (1993–2004). Since 2004, he has been a key figure at ITC, serving as department head (2012–2018, 2023–). Education: Delft University of Technology (BSc with honours, 1986), Rheinische Friedrich Wilhelms University of Bonn (PhD with honours, 1991) His research focuses on leveraging sensor technology advancements for large-scale geo-information production. Key expertise includes quality analysis of laser altimetry data, point cloud segmentation/classification, 3D building/road modeling, and model-driven imagery analysis. He has published over 220 papers and co-edited the textbook Airborne and Terrestrial Laser Scanning (2010). Recent work integrates deep learning with geospatial data, addressing semantic segmentation, visual question answering, and drone-based mapping. Recent publications (2025–2023) highlight trends in deep learning for remote sensing , including multimodal question answering benchmarks (HRVQA), vectorized building extraction (RoIPoly), latent diffusion for road modeling (LDPoly), and drone obstacle avoidance systems. His work bridges photogrammetry , computer vision , and robotic mapping , with applications in urban planning, disaster management, and informal settlement monitoring. Scientific Awards : Hansa Luftbild (1993), ISPRS Otto von Gruber (2000), Schwidefsky Medal (2012), Karl Kraus Medal (2012), ASPRS Fairchild Award (2015), ISPRS Fellow (2020) As an educator, Vosselman has taught photogrammetry, remote sensing, and laser scanning at Delft University of Technology and globally. He chaired the ITC Examination Board (2015–2023) and modernized geo-information education in Asia/Africa. His software for point cloud processing is commercialized in Europe, and he currently leads ISPRS working groups on point cloud methodologies. Labs/teams include the Earth Observation Science Chair Group at ITC, collaborating on UAV-based datasets (UAVid, UAVPal) and indoor laser scanning systems. Recent activities (2025) involve invited talks on pulse matching limitations in laser scanning and deep learning for point cloud classification.

Anna Vilanovaمشاهده پروفایل

استاد

• Visual Analytics
• Explainable AI
• Biomedical Image Analysis
• +۶ مورد دیگر

Anna Vilanova is a Full Professor in Visual Analytics at the Department of Mathematics and Computer Science, Eindhoven University of Technology (TU/e), and is associated with the Electrical Engineering department's Signal Processing Systems. Previously, she served as Associate Professor at TU Delft (2013-2019) and Assistant Professor at TU/e (2002-2013). Her research focuses on Visual Analytics for high-dimensional data , explainable AI , and biomedical applications including Diffusion Weighted Imaging, 4D Flow, and Pangenomics. Education: Doctorate in Computer Graphics & Visualization (2001) Master in Computer Science (1997), Universitat Politècnica de Catalunya Research Highlights: Vilanova leads work on Visual Analytics systems for biomedical data, with recent publications in Diffusion MRI modeling , Tractography visualization , Explainable AI frameworks , and Pangenomic variant analysis . Her work bridges dimensionality reduction , uncertainty visualization , and medical imaging applications. Scientific Contributions: NWO-Veni grant (2005): "Visualization of global tensor information for diffusion tensor imaging" NWO-Aspasia grant (2013) Best Poster Award EuroVis (2025) Best Demo/Poster Awards (2022) Leadership & Service: Vilanova serves on the IEEE VIS Steering Committee , was EUROGRAPHICS President (2019-2022), and contributes to conferences like IEEE Visualization and EG-EuroVis . She co-founded the EAISI Health research initiative at TU/e.

• Additive Manufacturing
• Materials Science
• Mechanical Engineering
• +۳ مورد دیگر

Vera Popovich is a researcher in the Department of Mechanical Engineering at Delft University of Technology and a member of Team Vera Popovich. Her work focuses on advanced manufacturing techniques and material behavior analysis. Education: MSc in Engineering (implied PhD) Her research spans additive manufacturing, microstructure engineering, and material degradation mechanisms: Specializes in additive manufacturing processes and their impact on material microstructure. Investigates hydrogen embrittlement in high-strength steels. Pioneers texture control for corrosion resistance in NiTi alloys. Studies fatigue crack propagation in bi-material systems. Recent publications highlight computational modeling of grain structures, interface mechanics in wire-arc additive manufacturing, and advanced characterization techniques for material degradation. She contributes to editorial activities as an editor for Applied Sciences . Scientific Awards: 2012 Poster Prize: X-ray diffraction stress analysis in silicon solar cells She collaborates on projects like the Rhizome initiative (2021-2022) for off-Earth habitat robotics and participates in public engagement, including a 2023 media feature on Delft's 3D-printing lab.

• Environmental Chemistry
• Mass Spectrometry
• Non-Targeted Analysis
• +۵ مورد دیگر

Dr. Saer Samanipour is a Visiting Professor at the Van 't Hoff Institute for Molecular Sciences, part of the Faculty of Science at the University of Amsterdam. His research focuses on advanced analytical techniques for environmental and biomedical applications, with a strong emphasis on non-targeted analysis, mass spectrometry, and machine learning integration. He leads efforts in developing open-source tools like GcDUO and jHRMSToolBox to enhance data interpretation in complex chemical datasets. Key areas include environmental contaminant detection, chemical exposure assessment via wastewater-based epidemiology, and proteomic analysis of snake venoms. His work bridges computational methods with experimental chemistry to address global challenges in environmental health and toxicology. Primary affiliation: Van 't Hoff Institute for Molecular Sciences Research themes: Non-targeted LC-HRMS workflows, machine learning applications in analytical chemistry, PFAS analysis, and exposome research Software contributions: GcDUO (GC×GC-MS), jHRMSToolBox (HRMS data processing) His publications highlight innovations in data-driven approaches for compound prioritization, toxicity prediction, and method optimization. Recent work explores chemical space exploration and chemometric strategies for complex mixture analysis, with applications to environmental monitoring and forensic science.

Antonis Papapantoleonمشاهده پروفایل

استاد

• Mathematical Finance
• Stochastic Processes
• Lévy Processes
• +۵ مورد دیگر

Antonis Papapantoleon is a Professor of Mathematical Finance at the Delft Institute of Applied Mathematics (DIAM), part of the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) at TU Delft. He is also affiliated with the Delft FinTech Lab and serves as an Affiliated Researcher at the Institute of Applied and Computational Mathematics (IACM), FORTH. Previously, he held roles including Assistant Professor at the National Technical University of Athens (NTUA), Juniorprofessor at TU Berlin (2011–2017), and Deputy Professor at the University of Mannheim (2016–2017). His research focuses on stochastic systems, Lévy processes in finance, term structure/LIBOR modeling, systemic risk management, model-free methods, and applications of machine learning in finance. Key contributions include advancements in affine LIBOR models, systemic risk analysis, and copula-based risk allocation. His work has been published in top journals like Annals of Applied Probability , Mathematical Finance , and Finance and Stochastics . His research has been supported by the Hellenic Foundation for Research and Innovation (HFRI), Europlace Institute of Finance, DAAD, MATHEON, and private corporations. He has delivered invited talks globally and co-edited Advanced Modelling in Mathematical Finance (Springer, 2016). Current affiliations include leadership in the Delft FinTech Lab and active participation in international collaborations. His work bridges theoretical stochastic analysis with practical financial applications, emphasizing robust frameworks for risk measurement and derivatives pricing.

Frans N. van de Vosseمشاهده پروفایل

استاد

• Cardiovascular Biomechanics
• Computational Biomechanics
• Medical Devices
• +۵ مورد دیگر

Frans N. van de Vosse is a full Professor at the Department of Biomedical Engineering , Eindhoven University of Technology. He leads the Cardiovascular Biomechanics research group, focusing on computational and experimental analysis of cardiovascular systems, medical devices, and clinical applications. Academic Background: MSc in Applied Physics (1982), PhD in Numerical Carotid Artery Flow Analysis (1987) from TU/e Professional Affiliations: Full Professor (since 2001), Lecturer in Fluid Mechanics (1987–2001) Research Interests span cardiovascular biomechanics, including Blood in Motion , Heart at Work , and Vessels under Stress . His work emphasizes computational models, experimental techniques, and medical devices for clinical diagnosis and intervention. Key Article Trends include fetal hemodynamics, virtual patient cohorts for coronary disease, abdominal aortic aneurysm progression, and fluid-structure interaction studies in heart valves. Many publications align with UN Sustainable Development Goals related to health and well-being. Media and Public Engagement highlights his contributions to artificial womb technology discussions and clinical device validation studies. His research has been featured in Professional Commentary and PR Activities in cardiovascular engineering.

Antoni Forner Cuencaمشاهده پروفایل

دانشیار

• Electrochemical Engineering
• Energy Storage
• Fuel Cells
• +۴ مورد دیگر

Antoni Forner-Cuenca is an Associate Professor at Eindhoven University of Technology's Department of Chemical Engineering and Chemistry, leading the Electrochemical Materials and Systems group. He holds a PhD from ETH Zurich (2016) and conducted postdoctoral research at MIT (2017-2018). His research focuses on advancing energy storage and conversion technologies, including redox flow batteries, fuel cells, and CO₂ reduction systems. He has received prestigious awards such as the NWO Veni Grant (2019), ERC Starting Grant (2022), and the ETH Zurich Medal (2017). Research interests include designing porous electrodes, optimizing electrochemical systems, and developing sustainable materials for large-scale energy storage. His group collaborates on projects like the Next-generation gas diffusion electrodes for CO₂ reduction and low-cost iron-air flow batteries. Key contributions involve non-solvent induced phase separation techniques and computational modeling for electrode optimization. Grants & Projects: Next-generation gas diffusion electrodes for electrochemical reduction of CO₂ to ethylene (2021-2025) CuGDEs - Copper-based gas diffusion electrodes for CO₂ reduction (2020-2027) Media Highlights: Featured in press coverage on eco-friendly redox flow batteries and lung-inspired electrode designs Invited expert commentary on energy storage innovations Labs/Teams: Leads the Electrochemical Materials and Systems group, focusing on interdisciplinary research at the interface of materials science and energy engineering.

• Social Networks
• Ethnic Relations
• Gender and Sexuality
• +۳ مورد دیگر

Eva Jaspers is Professor of Empirical and Theoretical Sociology at Utrecht University's Faculty of Social and Behavioural Sciences, where she also serves as Bachelor Director for Sociology. She is a member of the Interuniversity Center for Social Science Theory and Methodology (ICS) and leads the ICS Research Line on Migration and Social Stratification. Her educational background includes a PhD in Sociology (2008) and an MA in Sociology cum laude (2003), both from Radboud University Nijmegen, where she also obtained her University Basic Teaching Qualification in 2007. Professor Jaspers' research focuses at the intersection of networks, diversity and inequality, examining how people's contexts, interactions and relations with (dis)similar others shape their behavior and outcomes across various domains. Her work spans social networks, ethnic relations, gender and sexuality, discrimination, and gender equality, utilizing social network analysis as a key methodology. She has published in top journals including American Sociological Review , European Sociological Review , and Social Networks . Analysis of her recent publications reveals a strong focus on intergroup relations, social networks, and inequality, with particular emphasis on interethnic contact, gender dynamics in workplaces and families, and the impact of social norms on polarization. Her work increasingly employs computational methods and longitudinal data to examine complex social dynamics. Fellow of the Gravitation Program SCOOP (research and training center for sustainable cooperation) Professor Jaspers has managed multiple large-scale data collections and secured significant funding from NWO and Volkswagen Stiftung. She leads international projects including INCLUSIVITY (network interventions to counter polarization) and GENPARENT (research on transition to parenthood for same-sex couples). She is also a co-applicant in the prestigious NWO Summit Grant SOCION for research on social cohesion. Her academic leadership includes chairing the Dutch Sociological Association and organizing major conferences like the INSNA Sunbelt Conference. She is affiliated with several research initiatives including the Institutions for Open Societies (IOS) program, focusing on Future of Work, Gender Diversity and Global Justice, and Migration and Societal Change. Her work with the CILS NL data and SOCON panels demonstrates her commitment to longitudinal research on social networks and societal change.

• Multimedia Modeling
• Machine Learning
• Computer Vision
• +۷ مورد دیگر

Dr. Stevan Rudinac is a Researcher at the University of Amsterdam's Faculty of Economics and Business , Section Business Analytics . His work focuses on interactive learning systems and multimodal data analysis, particularly in urban contexts and multimedia modeling. Education: PhD in Multimedia and Information Retrieval from Delft University of Technology (2013). Research Interests: Stevan specializes in multimedia modeling , hypergraph learning , and interactive video search . He develops frameworks for scalable analysis of social networks, urban imagery, and large multimodal datasets, bridging machine learning with practical applications in city planning and financial social media. Recent Trends: His 2024-2025 publications highlight large language model optimization , diffusion model evaluation , and dynamic graph embedding for meme stocks. Collaborative projects include the CASTLE 2024 dataset and Exquisitor , a system for 100 million image exploration. Labs & Teams: He contributes to the Business Analytics group at UvA, collaborating with Prof. Marcel Worring and Dr. Björn Þór Jónsson. He co-organized the UrbanMM'21 workshop and participates in ACM Multimedia and MMM conferences.