Multiscale Flow Problems Professors and Supervisors in Netherlands

Roeland Merksمشاهده پروفایل

استاد

Leiden UniversityNetherlands

Roeland Merks is a Professor of Mathematical Biology at Leiden University's Faculty of Science, holding dual appointments in the Mathematical Institute (Analysis and Dynamical Systems group) and the Institute of Biology Leiden (Animal Sciences). His research bridges advanced computational modeling with biological questions, focusing on vascular development, tumor angiogenesis, and quantitative developmental biology. His research interests center on mathematical modeling of biological systems , particularly using agent-based approaches like the Cellular Potts Model to simulate lumen formation, tumor vasculature, and developmental processes. Key areas include computational angiogenesis, vascular network dynamics, endothelial cell behavior, and mathematical oncology. His work integrates dynamical systems theory with biological experimentation to unravel complex morphogenetic processes. Analysis of his recent publications reveals a strong trend toward translational computational biology , with increasing focus on tumor vasculature repair mechanisms, infant gut modeling, and plant sensory systems. His work consistently applies mathematical rigor to biomedical problems, particularly in understanding how physical forces and biochemical signals interact during vascular development. Professor Merks actively mentors doctoral candidates including Tessa Vergroesen and David Mattias Versluis, with former students such as Burak Demirbaş and Lisanne Rens contributing to his research legacy. His laboratory operates at the mathematics-biology interface, developing computational frameworks that generate testable biological hypotheses.

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Clemens Verhooselمشاهده پروفایل

دانشیار

Eindhoven University of TechnologyNetherlands

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.

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Harald van Brummelenمشاهده پروفایل

استاد

Eindhoven University of TechnologyNetherlands

Prof. Harald van Brummelen is a Full Professor and group leader of the Multiscale Engineering Fluid Dynamics Group at Eindhoven University of Technology (TU/e) in the Netherlands. His academic career spans appointments at Delft University of Technology (2001-2009) and a secondary role in the Department of Mathematics and Computer Science at TU/e. Van Brummelen specializes in advanced numerical techniques for multiscale flow problems, with applications in semiconductor lithography and inkjet printing. Academic Background: MSc in Mechanical Engineering (1997), Twente University of Technology PhD (2002), University of Amsterdam (Mathematical Institute) Research Interests: Fluid-Structure Interaction Free-Boundary and Interface Problems Phase-Field Models and Isogeometric Analysis Kinetic Models and Boltzmann Equation Error Estimation and Adaptivity Immersed Methods and Reduced-Order Modeling Scientific Contributions: Developed entropy-stable discretization techniques Led projects on multiscale fluid dynamics Advancements in preconditioning immersed methods Recipient of J.-L. Lions Award and Bill Morton Prize Supervision: Mentored doctoral candidates (Ahmed Aissa Berraies, Can Bozdoğan) Supervised master's theses on topics like flow instability and turbine design Current Projects: FIP 2.0: Complex Fluids on Complex Substrates (2020-2026)

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Alessandro Gabbanaمشاهده پروفایل

پژوهشگر

Eindhoven University of TechnologyNetherlands

Alessandro Gabbana is a University Researcher at Eindhoven University of Technology, affiliated with the Applied Physics and Science Education school and the Computational Multiscale Transport Phenomena group. His research focuses on computational physics, particularly lattice-Boltzmann methods and fluid dynamics. He co-leads the HTCrowd project (2020–2026), developing high-tech platforms for human crowd flow monitoring and modeling. Research interests span: Advanced computational fluid dynamics (CFD) Turbulence subgrid modeling using data-driven approaches Pedestrian dynamics and probabilistic flow analysis Neural network integration with kinetic schemes His publications demonstrate strong emphasis on improving lattice-Boltzmann boundary conditions, turbulence closures, and large-scale pedestrian dynamics simulations.

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Andrea Fusterمشاهده پروفایل

استادیار

Eindhoven University of TechnologyNetherlands

Andrea Fuster is an Assistant Professor in the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e). She specializes in mathematical image analysis, differential geometry applied to diffusion MRI, and theoretical physics, particularly extensions of general relativity. Her research integrates physics, mathematics, and medical imaging. Education: PhD in theoretical physics (2007, Free University Amsterdam); MSc in theoretical physics (University of the Basque Country, Spain). She held postdoctoral positions before joining TU/e in 2014. Professional activities include chairing WISE-Network (female scientists), coordinating the Multiscale Science & Engineering honors program, and organizing workshops like CDMRI at MICCAI (2015-2016) and the Dagstuhl Seminar on Anisotropy (2018). Research Interests: Focus on differential geometry in diffusion MRI (e.g., geodesic tractography, adjugate tensors), Finsler geometry applications in physics (e.g., pp-waves, gravitational wave models), and interdisciplinary methods linking physics and medical imaging. She has authored >35 publications and co-edited Springer books on Computational Diffusion MRI. Scientific Contributions: Guest editor for the Journal of Mathematical Imaging and Vision. Notable works include the Sheet Probability Index (SPI) for white matter analysis and geometric approaches to brain connectivity. Her work bridges theoretical physics with practical medical imaging solutions. Grants & Awards: While no specific awards are listed, her extensive publication record and editorial roles reflect scholarly impact. She leads projects on Finsler geometry applications and computational methods in imaging. Labs/Teams: Active in the Mathematical Image Analysis and Applied Differential Geometry groups at TU/e. Collaborates internationally on projects involving geometric modeling and medical imaging analysis.

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J.G.M. (Hans) Kuertenمشاهده پروفایل

استاد

Eindhoven University of TechnologyNetherlands

Hans Kuerten is a Full Professor and Chair of Computational Multiphase Flow at the Department of Mechanical Engineering, Eindhoven University of Technology (TU/e). He is also a part-time professor in Computational Multiscale Methods at the Faculty EEMCS, University of Twente. His work focuses on numerical simulation methods for single-phase turbulent flows, particle-laden flows, and phase-transitional flows, with applications in process technology including particle separation, steam injection, boilers, and inkjet printing. MSc in Theoretical Physics, University of Utrecht PhD, Eindhoven University of Technology Hans collaborates with institutions like ETH Zurich, Ohio State University, and Politecnico di Torino. He has held sabbaticals at these institutions and is affiliated with organizations including ERCOFTAC and the J.M. Burgerscentrum, where he serves as local director at TU/e. Hans's research spans multiscale problems in two-phase flows, particularly turbulence-particle/droplet/bubble interactions. His key areas include subgrid modeling in LES, DNS of particle-laden flows with evaporation/condensation, diffuse interface models for phase transition, and droplet dynamics on porous substrates. His work integrates spectral and finite volume methods with experimental research. His recent articles emphasize DNS and LES of multiphase flows, complex network theory for turbulence analysis, phase transition modeling, and industrial applications like inkjet printing and quenching. Techniques range from stochastic-deconvolution models to novel numerical methods for Navier-Stokes-Korteweg equations. ERCOFTAC Da Vinci Prize (Jury Member) ERCOFTAC Special Interest Group on Large-Eddy Simulation Physics Board, Lorentz Center Scientific Committee, ETMM Workshop Series International Organizing Committee, Direct and Large Eddy Simulation Workshops Hans supervises numerous research projects and students, including the active FIP 2.0: Complex Fluids on Complex Substrates (2020–2026). He has contributed to 215 research outputs and 91 supervised works, including PhD theses and datasets. His lab collaborates with semi-industry partners such as Océ, AkzoNobel, and TNO, focusing on sustainable technologies aligned with UN SDGs.

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Hans Kuertenمشاهده پروفایل

استاد

Eindhoven University of TechnologyNetherlands

Hans Kuerten is a Full Professor holding the Chair of Computational Multiphase Flow at the Department of Mechanical Engineering , Eindhoven University of Technology (TU/e) . Additionally, he serves as a part-time professor in Computational Multiscale Methods at the Faculty EEMCS, University of Twente . His research spans numerical simulation techniques for turbulent and multiphase flows, with applications in process technology and fluid mechanics. Academic Background: MSc in Theoretical Physics from the University of Utrecht, PhD from TU/e. International Collaborations: Partnerships with institutions like Ohio State University, ETH Zurich, and Politecnico di Torino. Projects: Leads the FIP 2.0: Complex Fluids on Complex Substrates project (2020–2026). Research Focus: Multiscale problems in two-phase flows, particularly turbulence-particle interactions, phase transitions, and computational methods like spectral and finite volume techniques. Applications include particle separation, steam injection, boilers, and inkjet printing. Scientific Contributions: Over 200 research outputs, including influential reviews on point-particle methods and DNS/LES techniques. Collaborates with semi-industry partners like Océ, AkzoNobel, NRG, and TNO. Advising: Supervised student theses, including M.H.M. Lemmens 's 2007 Master's work on 3D particle tracking in turbulent pipe flow.

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Mark A. Peletierمشاهده پروفایل

استاد

Eindhoven University of TechnologyNetherlands

Mark A. Peletier is a Full Professor at the Technische Universiteit Eindhoven within the Department of Mathematics and Computer Science. His research bridges differential equations, variational calculus, and applications in biology, geology, chemistry, and physics. He has held visiting positions at institutions in London, Bath, and Vancouver, and serves on editorial boards of international journals. Education: MSc (cum laude) and PhD in Mathematics from Leiden University, Diplôme d'Études Approfondies from Université Paris VI. Appointments: University of Bath (1997-1998), CWI Amsterdam (1998-2004), TU Eindhoven (2004-present). Peletier’s research spans gradient flows, large deviations, and nonlinear systems. His work on Hamilton-Jacobi equations and molecular motors provides theoretical insights into transport phenomena, while his contributions to neural stochastic differential equations integrate mathematics with machine learning. He emphasizes breaking detailed balance for directional transport in stochastic models. Recent publications focus on spectral problems, Coulomb interactions, and interpretable AI. His mathematical frameworks unify stochastic processes, variational principles, and multiscale modeling. Collaborations extend across disciplines, including energy engineering and computational chemistry. Scientific recognition includes NWO Vidi (2003) and Vici (2011) grants, and membership in De Jonge Akademie (2006-2011). He has supervised 49 research works and contributes to journals like Electronic Journal of Probability and Lecture Notes on Mathematical Modelling in the Life Sciences .

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