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Ron H.J. PeerlingsView profile

Associate Professor

• Micromechanics
• Micro-plasticity
• Multiscale modelling
• +7 more

Ron H.J. Peerlings is Associate Professor in the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e) , where he leads the Mechanics of Materials research group. Promoted to Associate Professor in 2007 after joining as Assistant Professor in 2000, he has built an extensive portfolio in theoretical and computational mechanics of materials. Education: PhD (1999) – Eindhoven University of Technology, thesis: Enhanced damage modelling for fracture and fatigue Post-doctoral research (1999–2000) – University of Cambridge, Engineering Department Research interests revolve around micromechanics , micro-plasticity , multiscale modelling , homogenisation , damage and fracture , and enriched continuum theories . His work spans advanced high-strength steels, composites, paper and fibrous networks, with strong emphasis on coupling rigorous theoretical developments to industrially motivated problems. His recent publications (2023-2025) demonstrate a clear trajectory towards integrating advanced experimental techniques (e.g., digital image correlation, micro-mechanical testing) with high-fidelity computational frameworks such as crystal-plasticity finite-element modelling, FFT-based solvers and micromorphic homogenisation. Dominant themes include: Deformation and fracture in lath martensite and dual-phase steels Hygro-mechanics of paper and fibrous networks Pattern-transforming mechanical metamaterials Discrete-to-continuum scale bridging methods Scientific awards are not explicitly listed in the provided material; however, his prolific output (294 research items, >6500 citations) attests to significant peer recognition. Teaching & supervision: He delivers courses on Computational Mechanics – Numerical Methods for Fluids and Solids and Fracture Mechanics – Theory and Application , and has supervised >80 student works and numerous PhD candidates whose names appear on joint publications. Laboratory & teams: He heads the Group Peerlings within the Mechanics of Materials cluster, maintaining close collaboration with the Mechanics of Materials Group Geers and extensive national/international experimental and computational networks.

Yali TangView profile

Assistant Professor

• Fluid Dynamics
• Multiphase Flow
• Physicochemical Conversions
• +7 more

Yali Tang is an Assistant Professor in the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e), specializing in fluid dynamics and transport phenomena within multiphase flows and physicochemical conversions . Her work targets Iron Power technology , green steel production , and alkaline water electrolysis for hydrogen generation, combining advanced computational models with experimental validation . Education: Master's in Chemical Engineering from Sichuan University (2011) PhD in Mechanical Engineering at TU/e (2015) with Prof. Hans Kuipers Research Interests: She focuses on interphase interactions , interfacial transport mechanisms , and high-resolution simulations (down to 40 nm mesh) to predict bubble coalescence and film dynamics. Her studies on hydrogen bubble growth , dendritic iron formation , and gas distribution in electrolyzers aim to refine reactor design and industrial processes. Collaborations with industrial partners ensure practical applicability of her computational models. Recent Publications: Her 2025 work includes dimensional analysis of liquid film formation, solutal Marangoni effects in electrolysis, and X-ray validation of gas distribution models. Earlier studies (2020–2023) cover defluidization behavior of iron fines, CFD-DEM modeling of raceways, and acoustic field applications in particle dynamics. Labs & Collaborations: She leads computational efforts within the Power & Flow group under Prof. Niels Deen, contributing to the EIRES Research cluster. Her work bridges academic research with industrial innovation in fluid dynamics and energy transition technologies.

Matthias SchlottbomView profile

Associate Professor

• Numerical Analysis
• Computational Mathematics
• Radiative Transfer
• +4 more

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.

Vanessa MagnanimoView profile

Professor

• Discrete Element Method (DEM)
• Soil Micromechanics
• Granular Materials
• +4 more

Vanessa Magnanimo is a Full Professor at the MESA+ Institute, University of Twente, specializing in the micromechanics of granular materials and clays using advanced Discrete Element Method (DEM) simulations . Her research bridges micro- and macro-scale behavior of soils, focusing on computational modeling , small-strain stiffness , and material stabilization . She has led 107 research outputs and 2 datasets , including studies on wet granular systems , bio-cemented soils , and vegetated soil mechanics . Recent work includes 2025 publications on coarse-grained DEM and mixing indices in industrial processes. Notable activities include keynote talks at international events (2018–2020), visiting researcher appointments at institutions like 3SR Laboratory (2017) and Politecnico di Bari (2020), and editorial contributions. Her research spans geotechnical engineering , powder technology , and multi-scale modeling , with applications in soil stabilization , industrial powder handling , and eco-mechanical systems .

Melvin WongView profile

Assistant Professor

• Transportation Engineering
• Machine Learning
• Urban Mobility
• +2 more

Melvin Wong is an Assistant Professor in the Department of Urban Planning and Transportation within the Built Environment school at Eindhoven University of Technology. His research focuses on transportation engineering, machine learning applications in urban mobility, reinforcement learning for traffic systems, and sustainable transportation solutions. He utilizes advanced computational methods including graph neural networks, generative AI, and physics-informed models to address challenges in traffic prediction, electric vehicle infrastructure, and urban design. His research interests encompass transportation optimization, spatiotemporal modeling, generative design methods, and behavioral analysis in urban systems. Recent publications demonstrate a strong focus on AI-driven solutions for traffic management, battery-swapping systems, and multimodal design optimization. Dr. Wong has received recognition including the Best Research Paper Award (2024) and Swiss Government Excellence Scholarship (2020). He contributes to academic activities through conference presentations, peer reviews, and course development in urban mobility and big data analytics.

Clemens V. VerhooselView profile

Associate Professor

• Computational Mechanics
• Isogeometric Analysis
• Fluid Dynamics
• +5 more

Clemens V. Verhoosel is an Associate Professor in Computational Methods for Model- and Data-Driven Engineering at Eindhoven University of Technology (TU/e). He holds positions in the Department of Mechanical Engineering under the Energy Technology and Fluid Dynamics section, and is affiliated with the EAISI Foundational initiative. His research focuses on scan-based immersed isogeometric analysis, uncertainty quantification, and Bayesian inference for complex engineering problems. He leads the Group Verhoosel and manages the Engineering Mechanics Graduate School since 2018. Education: MSc (Aerospace Engineering, TU Delft, 2005, cum laude PhD, TU Delft, 2009). Postdoctoral research at University of Texas at Austin (2009-2010). Awarded NWO VENI Grant (2011). Research interests include numerical methods for solid mechanics, fluid dynamics, coupled problems, and applications in biomedical engineering (e.g., cardiac mechanics). He develops open-source tools like the Nutils toolkit and collaborates with industry partners such as Evalf Computing. Key contributions include isogeometric analysis for fracture mechanics, phase-field models, and mesh-free simulation workflows. Honors: NWO Veni Award (2011). Teaching includes Advanced Discretization Techniques and Scientific Computing courses. Active in professional activities, including invited talks on cardiac mechanics and computational methods.

• Computational Mechanics
• Granular Materials
• Machine Learning in Physics-Based Simulations
• +7 more

H. Cheng is a researcher at the University of Twente, affiliated with the Faculty of Engineering Technology and the Department of Mechanics of Solids, Surfaces and Systems. He plays a central role in several interdisciplinary research projects focused on computational modeling of granular materials, geohazards, and machine learning integration in physics-based simulations. His research centers on advancing numerical methods such as the Discrete Element Method (DEM) and developing machine learning surrogates for efficient uncertainty quantification in complex systems. Key project areas include offshore infrastructure resilience under climate change (POSEIDON), dynamic fault slip in induced seismicity (FastSlip), upscaling particulate systems for industrial applications (TUSAIL), and automated segmentation of soil-root systems using micro-CT imaging (UNSAT). H. Cheng leads and supervises multiple early-career researchers across EU-funded initiatives, including MSCA Doctoral Networks and COST Actions. He is the main applicant and supervisor in the GrainLearning project, which integrates Bayesian inference with physics-based models to improve simulation accuracy and efficiency. His scientific contributions span collaborative research across academia and industry, with a strong emphasis on open science, reproducibility, and cross-sectoral training. He contributes to community-building through initiatives like ON-DEM, promoting best practices in particle-based simulations. Supervisor of multiple PhD students and postdoctoral researchers Daily supervisor in POSEIDON, FastSlip, TUSAIL, UNSAT Vice-lead of Working Group 1 in ON-DEM COST Action Main applicant and project lead for GrainLearning H. Cheng is actively involved in training the next generation of computational scientists and engineers, with a focus on interdisciplinary methodologies that bridge mechanics, data science, and industrial applications.

Niels DeenView profile

Professor

• Multiphase Reactors
• Computational Fluid Dynamics (CFD)
• Experimental Fluid Dynamics
• +5 more

Niels Deen is a Full Professor and Chair of the Power & Flow group in the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e). He also serves as Vice-Dean of the Department since 2024. His research focuses on multiphase reactors, computational fluid dynamics (CFD), and experimental fluid dynamics, with applications in sustainable processes like green steel production and hydrogen generation. **Education & Career**: Deen obtained his PhD from Aalborg University. He held roles as Assistant Professor at the University of Twente (2001–2010) and Associate Professor at TU/e (2010–2015). In 2010, he received an ERC Starting Grant for work on micro-structured bubble column reactors. He is a Principal Investigator at EIRES (Eindhoven Institute for Renewable Energy Systems) and part of the management team of the J.M. Burgerscentrum (JMBC). **Research & Awards**: His work bridges experimental and numerical techniques for multiphase systems. Notable contributions include studies on fluidized beds, bubble column dynamics, and multi-scale modeling. He has collaborated extensively with Dutch chemical industries and served as an editor for *Chemical Engineering Science* (2014–2022). **Awards**: Recipient of the European Research Council (ERC) Starting Grant (2010). **Roles & Activities**: Board member of Stichting Hoogewerff-Fonds and member of TU/e’s management teams for JMBC and EIRES. He teaches courses on CFD and transport phenomena.

• Computational Multiphysics
• Offshore Renewable Energy
• Finite Element Methods
• +5 more

Oriol Colomes Gene serves as Assistant Professor in the Offshore Engineering section within the Faculty of Civil Engineering and Geosciences at Delft University of Technology. He leads the Computational Multiphysics in Offshore Engineering research group, focusing on advanced numerical methods for offshore renewable energy applications. His teaching responsibilities include the “Floating and Submerged Structures” module for Civil Engineering master’s students and “Introduction to Computational Dynamics of Offshore Structures” in the Offshore and Dredging Engineering master’s program. His educational background includes a combined Bachelor’s/Master’s degree in Civil Engineering (2011) and a PhD in Civil Engineering (2016) from Universitat Politècnica de Catalunya, followed by postdoctoral research at Duke University (2016-2020). Colomes Gene’s research centers on computational multiphysics with emphasis on: Development of efficient Finite Element solvers for turbulent flows, free-surface flows, and visco-elasto-plastic solids Fluid-structure interaction in complex geometries Numerical methods for multi-phase and multi-material systems Applications in offshore wind, wave energy, and floating photovoltaics His recent work demonstrates strong integration of theoretical numerical methods with practical offshore renewable energy challenges, particularly in hydroelastic analysis of floating structures and optimization of energy capture systems. His scientific recognition includes: NWO Open Technologieprogramma subsidy for the RAPID-Wind project (2025) Colomes Gene actively supervises research within his Computational Multiphysics group and contributes to major collaborative projects including SPARKLES (2024-2030), which investigates nature-positive floating solar solutions. His research is supported by significant grants targeting offshore renewable energy innovation and computational methodology advancement. His laboratory work focuses on high-performance computing for multiphysics simulations, with particular expertise in developing and validating numerical frameworks for: Free-surface flows interacting with structures Vortex-induced vibrations Complex geometry hydrodynamics Hydroelastic response of very large floating structures

• Geotechnical Engineering
• Soil-Structure Interaction
• Tunnel Engineering
• +4 more

Dr. Anne-Catherine A.A.M. Dieudonné is an Assistant Professor in Geotechnical Field Testing and Monitoring at Delft University of Technology's Faculty of Civil Engineering and Geosciences. She holds a Ph.D. in Structural, Seismic, and Geotechnical Engineering from Politecnico di Milano, where she previously worked as a doctoral researcher and assistant professor until joining TU Delft in 2022. Her research focuses on experimental, numerical, and theoretical analysis of soil-structure interaction problems, including foundations, tunnels, embankments, and slope retaining systems. Key interests include developing simplified models for infrastructure design, improving sustainability and reliability of structures, and understanding time-dependent material responses. Her work spans geotechnical monitoring with fiber optics, constitutive modeling of geomaterials (e.g., cement-bentonite mixtures), and energy geotechnics. Notable contributions include studies on tunnel face stability, pile-supported embankments, and bio-cemented soils. Publications emphasize THM modeling for geothermal systems, fracture mechanics, and nuclear waste repository optimization. She collaborates internationally, contributing to advanced multiphysics approaches in geomechanics.

• Discrete Element Method
• Granular Materials
• Transport Engineering
• +5 more

D.L. Schott serves as a Professor in the Department of Mechanical Engineering, Transport Engineering and Logistics at Delft University of Technology, specializing in computational modeling of granular systems and transport infrastructure. His research integrates Discrete Element Method (DEM) simulations with emerging AI techniques to solve complex engineering challenges in offshore energy, material handling, and maritime operations. His primary research focuses on particle-scale mechanics in industrial and marine environments, with significant contributions to scour protection systems for offshore wind foundations, hopper discharge dynamics, and metamaterial design. Recent work demonstrates a strategic shift toward AI-enhanced simulation frameworks, particularly using transfer learning for multi-component segregation modeling and dual-regime approaches for time consolidation phenomena. This reflects growing industry demand for computationally efficient solutions in bulk material processing and offshore construction. Professor Schott maintains active industry collaborations, evidenced by 19 datasets on hopper discharge mechanics and press coverage of innovative grab unloader designs with Nemag. His 12 supervised student projects and 26 recent activities—including 22 conference presentations in 2025—highlight sustained engagement in geotechnical and transport engineering communities. Current research trajectories emphasize resilient maritime systems and AI-driven optimization of industrial material flows.

• Composite Materials
• Additive Manufacturing
• Finite Element Analysis
• +3 more

Joris J.C. Remmers is an Associate Professor of Composite Materials at the Department of Mechanical Engineering, Eindhoven University of Technology (TU/e). He is also affiliated with the EAISI High Tech Systems and leads the Mechanics of Materials research group. His academic journey includes a MSc in Aerospace Engineering (TU Delft, 1998) and a PhD in Computational Mechanics (TU Delft, 2006). Remmers' research focuses on composite materials and additive manufacturing, particularly the relationship between manufacturing processes, microstructure, and mechanical properties. He employs advanced numerical techniques to study multi-physics phenomena across scales. Research Themes: Composite materials and fiber-reinforced systems 3D printing and additive manufacturing processes Numerical methods (e.g., finite element analysis, model order reduction) Micromechanical modeling of material behavior Grants and Projects: Project Manager for Innovation test bed for development and production of nanomaterials for lightweight embedded electronics (2019–2023) Awards: Emerging DMD Based Systems and Applications Best Paper Award (2025) Teaching: Leads courses on advanced manufacturing, computational mechanics, and data-driven approaches in engineering, including Advanced and Additive Manufacturing and AI-assisted innovation in portable plasma technology . Labs/Teams: Active in the Mechanics of Materials group, collaborating on multi-scale mechanics, damage modeling, and material failure analysis.

Francesc Verdugo RojanoView profile

Assistant Professor

• Scientific Computing
• Parallel Algorithms
• Partial Differential Equations
• +3 more

Francesc Verdugo Rojano is an Assistant Professor at the Faculty of Science (Computer Systems) at Vrije Universiteit Amsterdam, with additional affiliations at the Network Institute and Distributed Computer Systems. His research focuses on scientific computing, parallel algorithms, and numerical methods for partial differential equations, particularly leveraging finite element methods. He actively contributes to open-source software like Gridap, an extensible finite element toolbox in Julia. His work spans computational physics, structural engineering, and materials science, emphasizing scalable numerical techniques for complex systems. Notable research includes fusion technology simulations, hydroelastic analysis of floating structures, and optimization of surface-enhanced Raman spectroscopy substrates. Collaborations involve international teams and interdisciplinary applications. Teaching responsibilities include courses on parallel programming and large-scale parallel systems. His research outputs highlight contributions to unfitted finite element methods, geometric discretization, and computational mechanics, with a strong emphasis on practical software implementations.

Clemens VerhooselView profile

Associate Professor

• Computational Mechanics
• Numerical Methods
• Solid Mechanics
• +5 more

Clemens Verhoosel is an Associate Professor in Computational Methods for Model- and Data-Driven Engineering at Eindhoven University of Technology (TU/e), specializing in the Department of Mechanical Engineering. His research focuses on numerical methods for engineering applications, including isogeometric analysis, immersed methods for complex geometries, and uncertainty quantification. He holds a prestigious NWO Veni Grant (2011) and has contributed to open-source tools like the Nutils toolkit. Education: MSc (with honors) in Aerospace Engineering from TU Delft (2005) PhD in Computational Mechanics from TU Delft (2009, cum laude) Postdoctoral research at the University of Texas at Austin (2009-2010) Research Interests: Scan-based immersed isogeometric analysis Uncertainty quantification and Bayesian inference Fluid-structure interaction Multiphase flow and fracture mechanics Teaching: Courses include Advanced Discretization Techniques (Isogeometric Analysis) and Scientific Computing for Mechanical Engineering. Awards: NWO Veni Award (2011): "Efficient modelling of bone fractures" Labs/Teams: Leads the Group Verhoosel and contributes to EAISI Foundational and Energy Technology research groups.

• Geotechnical Engineering
• Energy Geotechnics
• Nuclear Waste Disposal
• +5 more

Anne-Catherine A.M. Dieudonné, holding the title Dr.ir., is a faculty researcher at the Faculty of Civil Engineering and Geosciences, Delft University of Technology , within the Section of Geo-Engineering . Her work bridges fundamental geomechanics with pressing energy and environmental challenges, focusing on clays, bentonites, bio-cemented sands, geothermal systems, nuclear waste disposal, and CO₂ geological storage. Education & Training: Doctor of Engineering (Dr.ir.) – advanced doctoral degree in civil engineering/geosciences, exact institution and dates not stated in the source. Research Interests: Anne-Catherine’s research is organised around four pillars: Energy Geotechnics: thermo-hydro-mechanical (THM) modelling of geothermal systems in deep mines, cold-water injection-induced fracturing, optimisation under uncertainty. Environmental Geotechnics: long-term performance of clay barriers for nuclear waste repositories, gas and fluid transport in saturated clays, self-healing of rock-salt fractures. Bio-mediated Ground Improvement: micro-scale mechanics of bio-cemented sands, influence of carbonate distribution on stiffness and strength, DEM and experimental characterisation. Advanced Experimental & Numerical Techniques: development of novel visualisation devices for fluid-driven cracks, constitutive modelling of expansive clays, zero-thickness interface elements for fracture simulation. Publication Trends: Since 2020 she has authored or co-authored more than 25 peer-reviewed articles and conference contributions. The 2025 corpus shows a strong emphasis on geothermal reservoir engineering , bio-cemented geomaterials , and deep geological disposal , with methodological advances in coupled THM modelling, discrete-element simulation, and experimental validation. Scientific Awards & Honours: ABTUS Scientific Prize – Belgian Association for Underground Techniques and Urbanism (2012) C.B.R. Heidelberg Prize (2011) Bright Spark Lecture Award (2025) Ioannis Vardoulakis PhD Prize (2017) NWO Veni Grant (2019) Supervision & Grants: Anne-Catherine has supervised at least one doctoral student, A. Zhang , on bio-cemented sands. She is principal investigator on the NWO Veni project focusing on clay fracture mechanics and participates in the European EURAD consortium for radioactive waste management research. Laboratory & Teams: She is affiliated with the Geo-Engineering Section laboratories at TU Delft, which host advanced triaxial, oedometer, and bespoke visualisation rigs for clay and sand testing. Collaborative networks span TU Delft, KU Leuven, University of Liège, and multiple European institutions within EURAD.