جست‌وجوی استاد و پژوهشگر

Herm Hofmeyerمشاهده پروفایل

دانشیار

• Structural Design
• Finite Element Method
• Topology Optimization
• +۵ مورد دیگر

Hèrm Hofmeyer is an Associate Professor in the Department of the Built Environment at TU/e, specializing in Computational Structural Design and Finite Element Method applications. He holds a PhD in Applied Mechanics/Steel Structures and has supervised over 89 theses, including 9 PhD and 2 PDEng projects. His work focuses on topology optimization, fire-structure interactions, and sustainable construction methods. Education: MSc in Computer Aided Structural Design/Applied Mechanics (1994), PhD in Applied Mechanics/Steel Structures (2000). He has been a visiting scholar at Universität Stuttgart and RWTH Aachen. Research Interests: Structural Design Automation Fire Safety Engineering 3D Printing in Construction Topology Optimization Finite Element Modeling Steel and Sandwich Panel Structures Awards: Recipient of TU/e's Best Lecturer awards (BSc 2019, MSc 2022) and EG ICE 2016 Best Paper Award. Active in academic service as a reviewer for journals and conference committees. Labs/Teams: Member of EAISI (Eindhoven Artificial Intelligence Systems Institute), ECCS-TC7 (European Convention for Constructional Steelwork), and CIB-W78 (International Council for Research and Innovation in Building and Construction).

Wouter G. Ellenbroekمشاهده پروفایل

استادیار

• Soft Matter Physics
• Polymer Science
• Material Science
• +۳ مورد دیگر

Wouter G. Ellenbroek is an Assistant Professor in the Department of Applied Physics at Eindhoven University of Technology (TU/e), affiliated with the Institute for Complex Molecular Systems (ICMS). His research focuses on responsive soft materials, particularly developing novel high-tech materials inspired by natural processes. He holds an MSc in Theoretical Physics from Radboud University Nijmegen (2003) and a PhD from Leiden University (2010), where he studied granular media mechanics. His postdoctoral work at the University of Pennsylvania expanded into colloids and polymers, earning him the Herbert Callen Memorial Prize. At TU/e, he leads the Responsive Soft Matter group, exploring polymeric materials like hydrogels and vitrimers, with interdisciplinary collaborations in chemistry, biomedical, and mechanical engineering. Ellenbroek teaches courses including Electromagnetism, Physical Modelling, and Biomolecular Simulation. He has supervised 25 students and received the NWO Veni Award (2010) for research on charged particle interactions. His work emphasizes computational methods and data-driven approaches to material design, with recent contributions to stress relaxation in hydrogels and tunable supramolecular interactions.

• Thermal Engineering
• Sustainable Energy Systems
• Nanofluid Technology
• +۳ مورد دیگر

Dr. A. Mahmoudi is an Associate Professor in the Thermal Engineering group at the University of Twente’s Faculty of Engineering Technology. He holds a PhD from the University of Luxembourg (2015), where his research focused on biomass conversion thermodynamics and multi-physics modeling. Since 2016, his work at Twente has centered on solar thermal energy, transport phenomena, and multi-scale modeling, with a particular emphasis on thermochemical energy storage and nanofluid systems. His expertise spans nanotechnology, packed bed dynamics, and sustainable energy applications. Research Interests: Thermal energy storage systems (e.g., phase change materials, salt hydrates) Nanofluid-based heat transfer enhancements Thermochemical reaction kinetics and material characterization Passive cooling strategies for photovoltaic devices Multi-scale modeling of energy systems Recent work trends reflect a strong focus on advancing thermochemical storage solutions through computational modeling and experimental validation. Key themes include material characterization via micro-CT imaging, optimization of energy harvesting systems, and integration of nanomaterials in thermal applications. Advising & Grants: Active research projects in solar thermal systems and energy storage Collaborations with industry on sustainable energy technologies Labs/Teams: Affiliated with the Thermal and Fluid Engineering (ET-TFE) division and the Thermal Engineering (ET-TFE-TE) group at Twente.

D. Dodouمشاهده پروفایل

پژوهشگر

• Human-Robot Interaction
• Automated Vehicles
• Augmented Reality
• +۷ مورد دیگر

D. Dodou is a researcher at Delft University of Technology, Faculty of Mechanical, Maritime and Materials Engineering, specializing in human-robot interaction, automated vehicles, and augmented reality applications for transportation safety. Her work bridges mechanical engineering with human factors and biomedical instrumentation. Research Interests: Her research spans Human-Robot Interaction , Automated Vehicle Safety , Augmented Reality Interfaces , Pedestrian-Vehicle Interaction , and Biomedical Instrumentation . She employs methodologies such as eye-tracking, experimental design, and simulation to evaluate user behavior and system performance. Recent Research Trends: Her most recent publications (2024–2025) focus on open-source robotics, cross-national driver behavior, cyclist perception of automation, and AR-based safety systems. These works highlight a strong emphasis on empirical validation, multimodal interaction, and real-world deployment of intelligent systems. Applied Ergonomics Journal Best Paper Award 2022 Advising and Grants: While specific students are not named, she has supervised at least three research projects. She was a key contributor to the Shape-IT project (2019–2024), which focused on human-automated vehicle interaction, indicating involvement in grant-funded research and interdisciplinary collaboration. Labs and Teams: She collaborates closely with Prof. J.C.F. de Winter and other researchers at TU Delft, particularly in the domains of transportation ergonomics and human-automation interaction. Her work is associated with the Human Factors and Biomechanics group, contributing to datasets, simulators, and public engagement initiatives.

Faas Moonenمشاهده پروفایل

دانشیار

• Innovative Structural Design
• Adaptive Structural Systems
• Lightweight Structures
• +۵ مورد دیگر

Dr.ir. Faas Moonen is an Associate Professor in Innovative Structural Design at the Department of the Built Environment , Eindhoven University of Technology (TU/e) . His research focuses on Adaptive Structural Systems , Lightweight Structures , Life Cycle Design of Structures , Parametric Structural Optimisation , and Integrated Design of Structures , with significant contributions to the Smart Cities program. Education : MSc in Built Environment (1983) from TU/e PhD : 2001, thesis on industrialized foundation design supervised by Harry Rutten and Leo Wagemans His work emphasizes biocomposite materials (e.g., flax fiber composites) and their applications in sustainable infrastructure. Recent projects like the Smart Circular Bridge and Natuur-inbouw demonstrate integration of structural health monitoring and nature-inclusive design . He has pioneered probabilistic and fractional-order models for material performance analysis. Key scientific awards include: 55th TU/e Anniversary Award (2011) Herman Wijffels Innovation Award (2012) STW Design Prize (2014) SBIR-Grants (2010, phases I & II) Moonen has secured multiple research grants related to biocomposite footbridges , energy-efficient buildings , and sustainable urban development . His projects often involve interdisciplinary collaboration with industry partners.

• Deep Learning
• Medical Imaging
• Simulation-based Training
• +۳ مورد دیگر

Bas Oei serves as a University Researcher in the Department of Electrical Engineering at Eindhoven University of Technology (TU/e), actively contributing to the Signal Processing Systems research group and the Eindhoven MedTech Innovation Center. His interdisciplinary work bridges engineering and clinical applications through advanced computational methodologies. His primary research domains include Deep Learning for medical image analysis , simulation-based healthcare training systems , and evidence-based instructional design . Oei develops AI-driven diagnostic tools for point-of-care ultrasound while creating validated assessment frameworks for medical team training, with particular emphasis on translating technical innovations into clinical education practice. Analysis of his publication trajectory reveals a strategic evolution from surgical skill acquisition studies (2008) toward high-impact deep learning applications in pandemic response (2020). His work consistently demonstrates cross-disciplinary integration of computer science with medical education, evidenced by the 498 citations for his COVID-19 ultrasound research and significant industry partnerships reflected in patent citations. Within TU/e's research ecosystem, Oei operates at the intersection of the Signal Processing Systems group's technical expertise and the Eindhoven MedTech Innovation Center's translational mission, collaborating with clinicians and engineers to develop deployable healthcare solutions that address real-world diagnostic and training challenges.

Andrei C. Jalbaمشاهده پروفایل

استادیار

• Computer Graphics
• Visualization
• Visual Analytics
• +۶ مورد دیگر

Andrei C. Jalba is an Assistant Professor in the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e), specializing in Visualization and Visual Analytics. His research spans computer graphics, geometric processing, and visualization techniques with significant applications in medical imaging, simulation systems, and real-time graphics. Research Expertise Dr. Jalba's research fingerprint reveals strong specialization in curve skeletonization (95%), diffusion tensor analysis, point cloud processing (64%), and graphics hardware acceleration (59%). His work focuses on developing advanced algorithms for skeletonization, regularization techniques, and geometric processing with applications across multiple domains. His research intersects computer vision, medical diagnostics, and computational fluid dynamics, demonstrating practical implementations in MRI data processing, fire safety simulations, and interactive visualization systems. The integration of physics-based approaches with computational techniques represents a significant thread throughout his publication history. Publication Trends Dr. Jalba's recent publications show a clear progression from fundamental geometric algorithms to practical applications in medical imaging and real-time systems. His 2023 work on volumetric light transport demonstrates continued innovation in rendering techniques, while his 2021 eye tracking research shows expansion into AI applications. The consistent theme across his work is the development of efficient computational methods for complex visualization problems. Academic Contributions Teaching: Computer Graphics (since 2012), Seminar Visualization (since 2015), Simulation in Computer Graphics (since 2015) Supervision: 48 research projects across visualization and computer graphics topics Research Output: 68 publications with over 1,100 citations according to Scopus His work contributes to UN Sustainable Development Goals through applications in medical diagnostics, safety engineering, and computational science, though specific goals are not detailed in the available information.

• Biorefineries
• Aquaculture Systems
• Microalgal Cultivation
• +۵ مورد دیگر

Ellen Slegers is an Assistant Professor in the Operations Research and Logistics group at Wageningen University. Her work focuses on applying Process Systems Engineering (PSE) to biobased production chains and aquaculture systems. Active in research and education, she collaborates internationally on sustainability assessments and waste valorization projects. Key research areas: Biorefineries, Microalgal Biotechnology, Circular Supply Chains Active PhD supervisory roles in agrifood/pharmaceutical sustainability and bio-based systems Recent publications address microalgal cultivation for wastewater treatment, biochar applications, and sustainable process design. Notably recognized with an Aspasia Grant (2020) , she participates in academic workshops and conferences as keynote speaker. Her work integrates environmental impact analysis with practical bioprocess engineering, as evidenced by her contributions to algal biofilm reactors, aquaculture effluent remediation, and educational frameworks in PSE.

Timo Plathمشاهده پروفایل

پژوهشگر

• Multiscale Modeling
• Suspensions Rheology
• Granular Matter
• +۵ مورد دیگر

Timo Plath is a Researcher at the Multiscale Mechanics (MSM) group within the Faculty of Thermal and Fluid Engineering at the University of Twente, Netherlands. He is affiliated with the Department of Engineering Technology and the MESA+ Institute for Nanotechnology. As a PhD candidate, his work bridges engineering technology and computational modeling for industrial applications. Plath specializes in multidisciplinary engineering with research interests spanning contact mechanics, granular matter, non-Newtonian flow rheology, concrete simulation, and industrial process modeling. His expertise particularly focuses on developing multiscale models where both micro and macro-scale effects are critical, with significant contributions to wet granulation processes and particle dynamics simulation. His publication trend shows consistent advancement in particle-based modeling techniques, particularly through the open-source MercuryDPM software platform. Recent work emphasizes quadrature method of moments applications, non-dimensionalization approaches, and virtual prototyping for industrial granulation processes, demonstrating a clear trajectory from fundamental particle dynamics to practical industrial implementation. Plath actively collaborates within the University of Twente research ecosystem, working closely with supervisors including Thomas Weinhart, Stefan Luding, and Anthony Thornton. His activities include multiple oral presentations at international conferences between 2022-2024, focusing on model order reduction, quadrature methods, and granulation process characterization. His research infrastructure includes five significant datasets published through 4TU.Centre for Research Data between 2021-2024, supporting reproducibility in twin-screw wet granulation modeling, quadrature method applications, and rapid prototyping of granulation equipment. These datasets demonstrate his commitment to open science and computational reproducibility in particle technology research.

• Environmental Science
• Soil Physics
• Hydrology
• +۷ مورد دیگر

Meindert Commelin is a Postdoctoral Researcher in the Soil Physics and Land Management group at Wageningen University & Research. His work focuses on pesticide transport dynamics during rainfall-runoff events, integrating hydrological modeling and erosion processes in agricultural catchments. He has developed the OpenLISEM-pesticide v.1 software for simulating these phenomena and contributed datasets on runoff, erosion, and tillage impacts. Research Areas: Environmental Science, Soil Physics, Hydrology, Agricultural Engineering Key Tools: GIS modeling, OpenLISEM-pesticide v.1, runoff-erosion analysis Geographic Focus: Small agricultural catchments in the Netherlands His studies highlight how land use, rainfall characteristics, and pesticide properties influence particulate transport, offering insights for sustainable land management. Collaborations include researchers like J.E.M. Baartman, V. Jetten, and V. Geissen.

• Computational Fluid Dynamics
• Numerical Methods
• Non-Newtonian Fluids
• +۳ مورد دیگر

Hugo França is a Research Fellow at the University of Amsterdam (UvA) and a member of the EUV Plasma Processes group at the Advanced Research Center for Nanolithography (ARCNL). He holds a PhD in Computer Science and Computational Mathematics from the University of São Paulo (USP), earned in 2023 after a collaborative year at UvA as a visiting student. Education: Bachelor's in Computer Science and Computational Mathematics, State University of São Paulo (2015) Master's in Computer Science and Computational Mathematics, State University of São Paulo (2018) PhD in Computer Science and Computational Mathematics, University of São Paulo (2023) Research Interests: Hugo focuses on computational modeling of fluid dynamics, particularly numerical simulations of non-Newtonian droplets. His current work at ARCNL involves studying laser-induced deformation of tin droplets for EUV lithography applications, while continuing droplet flow research at UvA's FluidLab group. Supervision: PhD advisors: Prof. Dr. Cassio Oishi (USP) and Prof. Dr. Maziyar Jalaal (UvA) Current collaboration: FluidLab group led by Maziyar Jalaal (UvA) and Oscar Versolato's EUV Plasma Processes group (ARCNL)

Nicky van Foreestمشاهده پروفایل

دانشیار

• Probability
• Optimization
• Stochastic Processes
• +۵ مورد دیگر

Dr. Nicky van Foreest is an Associate Professor at the Faculty of Economics and Business , University of Groningen. His research bridges probability theory and optimization , focusing on applications in manufacturing, inventory, queueing, and service processes. His 15 most recent articles explore computational methods in probability, recursion, and entropy (e.g., Solving Wordle with Entropy ), geometric properties (e.g., Sagemath Proofs for Three Circles ), and stochastic system analysis (e.g., Memoryless Excursions ). He develops educational materials and open-source software, including contributions to stochastic_or and sicm_sagemath . Contact: n.d.van.foreest@rug.nl | University Profile | Personal Homepage .

Gijsbert Verdoes Kleijnمشاهده پروفایل

پژوهشگر

• Astronomy
• Big Data
• Data Science
• +۷ مورد دیگر

Dr. Gijsbert Verdoes Kleijn is a researcher at the Kapteyn Astronomical Institute within the Faculty of Science and Engineering at the University of Groningen. His work focuses on astronomical data analysis, particularly utilizing the Euclid space telescope data and applying advanced data science techniques to astrophysical problems. His research interests span Astronomy , Big Data , and Data Science , with specific expertise in gravitational lensing, galaxy clusters, asteroid detection using neural networks, and photometry. His work frequently involves the application of convolutional neural networks and other machine learning techniques to astronomical data. Analysis of his recent publications shows a strong focus on the Euclid space telescope data, with numerous papers on gravitational lensing, galaxy clusters, and Solar System object detection. His research leverages both observational data and simulations to advance our understanding of cosmic structures and phenomena. Dr. Verdoes Kleijn has been actively involved in press coverage related to the Euclid mission, including commentary on the telescope's early images and its scientific potential. His work has been covered by numerous news outlets, demonstrating the public impact of his research. His academic contributions include 154 research outputs, 16 datasets, and supervision of 2 research projects, reflecting his significant role in the astronomical research community.

Miriam Menzelمشاهده پروفایل

استادیار

• Computational scattered light imaging
• Neuroimaging
• Biomedical optics
• +۷ مورد دیگر

Miriam Menzel is an Assistant Professor of Imaging Physics at the Department of Imaging Physics (ImPhys) within the Faculty of Applied Sciences at Delft University of Technology since 2022. She leads the Menzel Lab focused on developing Computational Scattered Light Imaging (ComSLI) for biomedical applications, particularly in neuroimaging and tissue structure analysis. Prior to her current position, she was a Visiting Postdoctoral Scholar at Stanford School of Medicine (2021-2022) and a PostDoc at Forschungszentrum Jülich's Institute of Neuroscience and Medicine (2018-2022). Her educational background includes: PhD in Physics from RWTH Aachen University / Forschungszentrum Jülich (2018) M.Sc./B.Sc. in Physics from RWTH Aachen University (2009-2013) Imperial College International Diploma in Physics, London (2012-2013) Dr. Menzel's research focuses on exploiting the scattering of visible light to resolve complex fiber structures in biological tissues. Her lab developed Computational Scattered Light Imaging (ComSLI), a technique that allows disentangling densely interwoven fiber pathways with micrometer resolution using standard optical components. Unlike other techniques requiring dedicated equipment and time-consuming raster-scanning, ComSLI provides fiber orientational information for all image pixels in parallel. The technique is label-free and can be applied to various tissue types including brain, muscle, and collagen fibers, making it highly versatile for both research and potential clinical applications. Her recent publications demonstrate a clear trajectory toward improving ComSLI's speed through compressed sensing, expanding applications to multiple tissue types beyond neuroanatomy, and developing multimodal integration with polarimetry. The research spans fundamental optics development, advanced signal processing, and clinical translation, particularly in cancer diagnostics through tissue architecture analysis. Her scientific recognition includes: Klaus Tschira Boost Fund (2021) Helmholtz Doctoral Prize (2019) Klaus Tschira Boost Fellow designation Dr. Menzel actively supervises Master's thesis projects at TU Delft, welcoming students with backgrounds in applied physics, nanobiology, microscopy, or data science to work at the interface of computational imaging and biomedical research. Her lab is currently developing hardware for high-throughput ComSLI measurements, advanced signal analysis techniques using machine learning, multimodal imaging systems combining scattered and polarized light, and exploring clinical applications in cancer diagnostics through tissue architecture analysis. The Menzel Lab is establishing ComSLI as a powerful tool for visualizing complex fiber structures across multiple biological systems, with ongoing work focused on hardware miniaturization for clinical applications and expanding the technique's capabilities to provide additional tissue metrics like fiber diameter information.

• Theoretical Physics
• Particle Physics
• High Energy Physics
• +۵ مورد دیگر

Dr. Wouter J. Waalewijn is a Senior Researcher at the Faculty of Science, University of Amsterdam, and holds a permanent position at Nikhef (National Institute for Subatomic Physics) in Amsterdam. His work bridges theoretical physics and high energy particle physics, with a focus on quantum chromodynamics (QCD), track functions, and energy correlators in jet physics. Dr. Waalewijn’s research focuses on advancing perturbative QCD with track functions, and he has contributed extensively to the development of energy correlators in high-energy collisions. His work includes resummation techniques, factorization violations, and precision calculations in jet physics, often applied to experiments at the LHC and future EIC (Electron-Ion Collider) projects. His recent publications highlight innovations in jet veto resummation, FastEEC algorithms, and energy flow polynomial analysis. Over the last five years, Dr. Waalewijn has co-authored 15 publications in hep-ph, many appearing in top journals like Physical Review Letters and Journal of High Energy Physics . These works span jet substructure, track function evolution, small-x physics, and hadronization effects, often involving collaborations with institutions such as MIT, Nikhef, and Delta ITP. Dr. Waalewijn obtained his PhD under the guidance of Iain W. Stewart, whose affiliations include MIT. His academic journey began with a postdoc at Nikhef (2013-2015) before transitioning to a Junior position at the University of Amsterdam (2013-2018), and finally securing his current Senior role (since 2018). His research involves developing formalisms for track functions, energy correlators, and precision QCD calculations. He collaborates with institutions like Delta ITP and Nikhef, and his work has been funded through grants (though details are not specified in the provided text).