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David WiedemannView profile

Research Fellow

• Mathematical modeling
• Analysis of partial differential equations
• Periodic homogenization
• +4 more

Dr. David Wiedemann is a Research Fellow at the Faculty of Mathematics of the Technical University of Dortmund . His academic career spans institutions including the University of Augsburg (2019-2023) and TU Munich (2017-2019). He holds a PhD in Mathematics (summa cum laude) and is affiliated with the DFG SPP2256 project on variational methods in engineering. Education M.Sc. in Mathematics (TopMath), TU Munich (2017-2019) B.Sc. in Mathematics, University of Augsburg (2014-2017) His research focuses on mathematical modeling and analysis of partial differential equations in multiscale systems. Key areas include periodic homogenization of transport processes in evolving porous media, fluid mechanics, and applications in materials science and electromagnetism. His work bridges theoretical developments with practical challenges in physico-chemical systems. Scientific recognition includes: 2025-2027: GAMM Juniors member 2023: SIAM Student Travel Award 2023: Best PhD presentation award at Aberystwyth 2020-2023: German Academic Scholarship Foundation doctoral scholarship 2019: Hurwitz Prize for top Masters graduate at TU Munich 2017: TopMath Study Award at TU Munich He has undertaken international research stays at the Isaac Newton Institute (Cambridge), Simon Fraser University (Vancouver), and Rockfield/Aberystwyth (UK). These experiences have shaped his expertise in multiscale modeling and wave scattering theory.

Laura MillerView profile

Lecturer

• Applied Mathematics
• Poroelasticity
• Composite Materials
• +12 more

Laura Miller is a Lecturer in Applied Mathematics in the Department of Mathematics and Statistics at the University of Strathclyde, appointed in November 2024. She previously held an EPSRC Postdoctoral Prize Research Fellowship at the University of Glasgow (2022–2024), where she also completed her PhD in Applied Mathematics (2018–2022). Her academic journey reflects a strong foundation in mathematical modeling of complex biological systems. Her research centers on poroelasticity, composite materials, viscoelasticity, and continuum mechanics , with direct applications to cardiac modeling (electrophysiology, perfusion, disease) and ocular diseases . She specializes in deriving multiscale models through homogenization techniques applied to fluid-structure interaction problems, enabling the transition from microstructural descriptions to macroscopic partial differential equations. Her methodological expertise includes mixture theory, statistical sensitivity analysis, and analytical solution techniques. Dr. Miller’s recent publications (2024–2025) demonstrate a consistent focus on homogenization in biological tissues, particularly myocardium and double-porosity systems. Her work bridges applied mathematics with biomedical applications, emphasizing effective material behavior across length scales. She leads significant research projects, including a UK-EU network on Biological Tissues funded by the Isaac Newton Institute and an international collaboration via the University of Strathclyde’s Global Engagement Fund. EPSRC Postdoctoral Prize Research Fellow She is actively involved in research leadership and mentorship, currently accepting PhD students and supervising projects on topics such as poroelastic cornea modeling. She collaborates internationally with researchers in the UK, Italy, Germany, and the Czech Republic. No teaching or lab leadership details are provided, but her project leadership indicates an active research group forming around multiscale tissue modeling.

Adnan SufianView profile

Senior Lecturer

• Geotechnical Engineering
• Granular Materials
• Internal Erosion
• +3 more

Academic Profile Dr. Adnan Sufian is a Senior Lecturer in Geotechnical Engineering at the School of Civil & Environmental Engineering, University of New South Wales (UNSW Sydney). He holds a PhD (2017) and BE (2012) in Civil Engineering from UNSW, with research visits to MIT. Prior academic roles include positions at Imperial College London and the University of Queensland. He also has industry experience at SMEC Australia on major infrastructure projects. Research Focus Dr. Sufian specializes in multi-scale mechanics of granular materials, investigating fluid-particle interactions through computational (DEM, CFD-DEM), experimental, and theoretical approaches. His work addresses geotechnical challenges including erosion, landslides, and contaminant transport, with applications in infrastructure, environmental management, and industrial processes. Current projects focus on internal erosion in dams, particle migration, and climate-resilient infrastructure. Publications & Trends Recent articles (2019-2025) demonstrate strong emphasis on granular material behavior under hydraulic/mechanical stresses, featuring advanced computational techniques like pore-network modeling and coupled CFD-DEM. Key themes include internal erosion mechanisms, filtration dynamics, soil-fluid interactions, and microstructural analysis. Publications consistently appear in top geotechnical journals including Geotechnique and Computers and Geotechnics . Awards & Recognition Best Paper Award (Early Career Researcher), Australasian Conference on Computational Mechanics (2019) Best Paper Award (Postgraduate Student), Australasian Conference on Computational Mechanics (2015) UNSW Geotechnical Discipline Prize (2011) Grants & Projects ARC Discovery Early Career Researcher Award (2024-2026): Predicting internal erosion in dams using real-time coupled experiments ARC Early Career Industry Fellowship (2023-2026): Safeguarding dams/levees from internal erosion NSERC Alliance Award (2023-2024): Internal erosion in hydroelectric dams (with Zheng) Research Leadership Supervises HDR projects on transport processes in granular media, particle shape effects on erosion, and flood-impacted infrastructure. Collaborates with physicists and mathematicians to study emergent granular phenomena. Co-organizes the European Working Group on Internal Erosion Symposium and holds memberships in the Australian Geomechanics Society and Engineers Australia.

• Computational Chemical Physics
• Polymer Physics
• Soft Matter Physics
• +7 more

W.J. Briels is a Full Professor in Computational Chemical Physics at the University of Twente, Faculty of Science and Technology, Department of Applied Physics. His research spans polymer physics, soft matter, colloidal systems, and non-equilibrium thermodynamics, with a strong focus on simulation and modeling. His research interests lie at the intersection of physics, chemistry, and materials science, particularly in computational modeling of soft matter systems . Key areas include: Thermophoresis and Soret effect in colloidal and electrolyte solutions Coarse-grained simulations of polymers and biomolecules Flow of complex fluids in porous media Non-equilibrium statistical mechanics and irreversible thermodynamics Dynamics of star polymers and polymer melts His recent publications (2023–2025) show a continued focus on thermal diffusion in solutions , colloidal migration under temperature gradients , and entropic effects in confined liquids . The work combines theoretical frameworks with molecular simulations, often in collaboration with experimental groups. Briels has supervised over 25 research activities and 27 student projects, indicating a strong commitment to mentoring. He has delivered numerous invited talks and keynote lectures on coarse-graining and polymer dynamics. His work has been supported by grants related to soft matter and computational physics, though specific funding sources are not detailed here. He is actively involved in collaborative networks, particularly with researchers like J.K.G. Dhont and W.K. den Otter. His lab focuses on developing and applying advanced simulation techniques to complex fluid systems, with applications in materials science and biophysics.

Tim RickenView profile

Professor

• Structural Mechanics
• Finite Element Methods
• Environmental Mechanics
• +5 more

Prof. Tim Ricken serves as Dean of Studies for Aerospace Engineering and leads the Institute of Statics and Dynamics of Aerospace Structures at the University of Stuttgart. His research focuses on structural mechanics, finite element methods, environmental mechanics (particularly sea ice modeling), biomechanics, and AI-driven computational frameworks. He oversees state-of-the-art experimental labs for material fatigue analysis and collaborates with high-performance computing resources like Vulcan and Hawk clusters. Key research areas include multiphase modeling, porous media mechanics, and multiphysics simulations. His team addresses challenges in aerospace structures, biomedical engineering (e.g., liver and tumor modeling), and climate-related systems such as Antarctic sea ice dynamics. Current projects involve DFG-funded initiatives (e.g., SimLivA for liver injury modeling) and the Cluster of Excellence SimTech. Grants include SPP 1886, SPP 2311, and FOR 5151 (QuaLiPerF). Notable innovations include the FE2M multiscale framework, physics-informed neural networks (e.g., DeepONet), and the Onco* tumor modeling platform. He emphasizes model adaptation via equilibrated fluxes and stress-driven finite element methods. Experimental work spans laser therapy optimization, auxetic material analysis, and biomaterial testing in rolling suitcase labs.

• Unconventional Resources
• Hydraulic Fracturing
• Reservoir Characterization
• +4 more

Shanshan Yao, PhD, is an ATS Assistant Teaching Professor in the Department of Civil and Environmental Engineering at the University of Alberta's Faculty of Engineering. She specializes in teaching and research focusing on unconventional resources, hydraulic fracturing, reservoir characterization, and drilling engineering. Her courses include PET E 275 (Petroleum Reservoir Fluids), PET E 364 (Drilling Engineering), and advanced reservoir and production engineering modules. Dr. Yao's research interests span pore-scale processes in porous media, pneumatic percussion drilling, and pumped storage hydropower systems. Her recent articles highlight contributions to proppant dynamics, fluid mechanics in fracturing, and optimization of drilling technologies. While no awards or grants are explicitly listed, her work reflects active engagement in petroleum engineering and reservoir science. She currently teaches across multiple terms, demonstrating a commitment to both education and applied research in energy systems.

• Porous Media
• Fluid Dynamics
• Computational Modeling
• +3 more

Ronghao Cui is a Postdoctoral Fellow at the Department of Mathematics, University of Bergen, Norway, conducting advanced research in computational fluid dynamics within porous media systems. His work bridges petroleum engineering and environmental science through high-resolution modeling of nanoscale fluid behavior. His core research interests include porous media transport phenomena, multiphase fluid dynamics, computational pore-network modeling, molecular simulation techniques, interfacial chemistry in complex fluids, and nanofluidics applications. He specializes in simulating shale reservoir systems and clay mineral interactions using multiscale approaches that integrate molecular dynamics with continuum-scale principles. Analysis of his publication record reveals a concentrated focus on pore-scale mechanisms in unconventional reservoirs, with recent work emphasizing CO2-brine-silica interactions for carbon sequestration and ethanol-clay systems for enhanced recovery. His methodologies consistently combine Earth science principles with chemical engineering applications, demonstrating strong interdisciplinary connections between computational mathematics, petroleum engineering, and environmental fluid mechanics.

Rebecca BrannonView profile

Professor

• Computational Solid Mechanics
• Plasticity Modeling
• Poroelasticity
• +7 more

Rebecca Brannon is a Professor in the Department of Mechanical Engineering at the University of Utah, specializing in computational solid mechanics and constitutive modeling. She holds a PhD in Engineering Mechanics from the University of Wisconsin, Madison (1992), an MS from the same university (1988), and a BS in Mechanical Engineering from the University of New Mexico (1987). Her research focuses on improving the accuracy, stability, and efficiency of plasticity models, damage mechanics, poroelasticity, and advanced numerical methods like the Material Point Method (MPM). Key contributions include mesoscale validation techniques, constitutive model development (e.g., ARENA and Kayenta), and tensor analysis frameworks for engineering applications. Her work bridges theory and application, addressing challenges in shock physics, rock mechanics, and biomedical engineering (e.g., ceramic hip prosthesis wear). She has pioneered methods for uncertainty quantification in damage models, verification frameworks for computational mechanics, and visualization tools for tensor fields. Notable projects include modeling hypervelocity impact, blast effects on geologic materials, and analyzing deformation-induced anisotropy in porous media. Brannon has led interdisciplinary initiatives, such as the ONR MURI project on soil blast modeling, and contributed to software development (e.g., CTH and Uintah-MPM). Her expertise spans experimental validation (using XCT data), numerical algorithm design, and thermodynamic consistency in constitutive equations. Her research underscores the importance of rigorous validation and the integration of micro-scale heterogeneity into macro-scale models.

Fabian WeinView profile

Researcher

• Topology Optimization
• Structural Optimization
• Computational Mathematics
• +3 more

Dr. Fabian Wein serves as a Senior Scientist at the Chair of Applied Mathematics (Continuous Optimization) within the Department of Mathematics at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). His research focuses on advanced optimization techniques with applications in structural design and additive manufacturing. Wein maintains an active research profile with numerous publications in leading optimization journals and collaborates extensively within Michael Stingl's research group. Wein's research interests center on topology optimization methodologies, particularly feature-mapping approaches for structural optimization. His work bridges theoretical mathematics with practical engineering applications, especially in the context of additive manufacturing technologies. He has made significant contributions to two-scale optimization of graded lattice structures, buckling analysis of cellular structures, and optimization of piezoelectric devices. His research demonstrates a consistent focus on developing computationally efficient methods that respect manufacturing constraints while achieving optimal structural performance. Analysis of Wein's recent publications reveals a strong trend toward multiscale optimization approaches that integrate microstructural design with macroscopic performance requirements. His work increasingly addresses the challenges of additive manufacturing, particularly in developing optimization frameworks that account for process-structure-property relationships. The research spans from fundamental mathematical developments to practical applications in electromechanics, fluid dynamics, and structural mechanics. Wein actively participates in academic advising and research supervision, as evidenced by his involvement with master's theses such as 'Optimization of a Solar Air Heater' (2022). His research has received substantial citations, indicating significant impact in the optimization community. The work is often supported through collaborations with institutions like the Max Planck Society and Fraunhofer Institutes, leveraging FAU's strong research ecosystem. Within the research environment at FAU, Wein contributes to the Continuum Optimization group that maintains several computational resources including openCFS (an open-source C++ FEM framework with structural optimization capabilities) and iTop (an interactive educational topology optimization platform). His work connects with broader university initiatives in advanced manufacturing and computational engineering, contributing to FAU's position as one of Germany's leading research universities with over 14,000 staff members across the Nuremberg Metropolitan Region.

• Scientific Computing
• Numerical Analysis of PDEs
• High-Performance Computing
• +7 more

PD Dr. Florian Frank is Privatdozent (senior lecturer with full teaching licence) for Applied Mathematics at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) and heads the Bavarian research project „Parallel mesh loading and partitioning for large-scale simulation“ . His expertise spans high-performance computing, phase-field and discontinuous Galerkin methods, digital-rock physics, and reactive transport in porous media. Education & career 2022 – Venia legendi (private lecturer), Mathematics, FAU 2019 – Dr. habil., Mathematics, FAU 2013 – Dr. rer. nat., Applied Mathematics, FAU 2008 – Graduate Mathematician, University of Frankfurt 2021-2022 (acting) W2 Professor Scientific Computing, FAU 2018-2021 (acting) W2 Professor Mathematical Modelling, FAU 2017-2018 Senior Postdoc, CAAM, Rice University, USA 2014-2017 Postdoc, CAAM, Rice University, USA Research interests Frank focuses on the development and analysis of numerical schemes for partial differential equations that govern multiphase, multicomponent and reactive processes in porous or biological media. Key themes include discontinuous Galerkin and finite-volume methods , physics-preserving discretizations , high-performance computing , and digital-rock-based pore-scale simulations . He couples phase-field approaches with (Navier–)Stokes, Cahn–Hilliard, Nernst–Planck and density-gradient equations to quantify flow, transport, colloid dynamics and interfacial phenomena. Recent publications reveal a clear trend toward data-driven modelling : convolutional neural networks are trained with direct numerical simulation data to predict permeability and diffusion coefficients from 3-D micro-CT images, while advanced preconditioners and regularization techniques accelerate multiphase thermodynamic computations. Awards & recognition 2020 – Emmy-Noether-Prize der Naturwissenschaftlichen Fakultät, FAU 2017 – Promotion to Senior Postdoctoral Research Associate , George R. Brown School of Engineering, Rice University Projects, tools & supervision Frank currently leads a Bavarian state-funded project on parallel mesh handling for large-scale simulations. Together with collaborators he maintains the open-source MATLAB/GNU Octave toolbox FESTUNG for discontinuous Galerkin methods. Since 2018 he has (co-)supervised ten BSc and MSc theses on topics ranging from Stokes preconditioning to enriched Galerkin shallow-water solvers, regularly serves as reviewer for more than a dozen international journals, and is guest editor of special issues in Computational Geosciences and Oil & Gas Science and Technology .

Nadja RayView profile

Professor

• Multiscale modeling
• Upscaling
• Homogenization
• +5 more

Nadja Ray is a Professor for Geomatics and Geomathematics at the School of Mathematics, Information, Data Science (MIDS) at Katholische Universität Eichstätt-Ingolstadt since September 2022. She also serves as Head of a Junior Research Group at Friedrich-Alexander Universität Erlangen-Nürnberg and is Principal Investigator for multiple research projects including DFG SPP 2089, DAAD PPP Finland, and DFG RTG 2339. Her educational background includes a Habilitation in Applied Mathematics (2016-2020), a PhD in Applied Mathematics (2008-2013), and a Diploma in Mathematics with minor in theoretical physics (2002-2008), all from Friedrich-Alexander Universität Erlangen-Nürnberg. Dr. Ray's research focuses on multiscale modeling, upscaling, and homogenization with applications in porous media, particularly soil microaggregates and electrohydrodynamics. Her work bridges mathematical theory with practical applications in soil science, environmental engineering, and geosciences. She develops mechanistic models that incorporate evolving microstructures to understand complex phenomena in porous media. Her recent publications demonstrate a strong focus on micro-macro modeling approaches for reactive transport in porous media, permeability estimation using machine learning techniques, and pore-scale modeling of soil processes. Her work spans mathematical analysis, numerical methods, and interdisciplinary applications in soil science and geosciences. Habilitation prize from Friedrich-Alexander Universität Erlangen-Nürnberg for outstanding habilitation Women's prize from the faculty of natural sciences at Friedrich-Alexander Universität Erlangen-Nürnberg Dr.-Körper-Preis 2014 from GAMM for outstanding PhD thesis Multiple prestigious scholarships including from Studienstiftung des Deutschen Volkes and Deutsche Telekom Stiftung Dr. Ray has secured significant research funding as Principal Investigator for multiple DFG and DAAD projects. She regularly presents her research at international conferences including the SIAM Conference on Mathematical and Computational Issues in the Geosciences and the European Geosciences Union General Assembly. She teaches in the B.Sc. Data Science program at KU Eichstätt-Ingolstadt and has completed the Certificate for Teaching in Higher Education of the Bavarian Universities. Her international collaborations include research visits to institutions in Belgium, Slovakia, Norway, and the Netherlands, demonstrating her strong international research network.

• Acoustics
• Fluid Dynamics
• Materials Science
• +7 more

David Reungoat is a researcher at the University of Bordeaux, affiliated with multiple interdisciplinary research groups focusing on fluid dynamics, acoustics, materials science, and environmental engineering. His work spans experimental, numerical, and field-based investigations. Key Affiliations: TREFLE (Energy Fluid Transfers & Porous Media), APY (Physical Acoustics & Ultrasound), GCE (Civil & Environmental Engineering), 3MAH (Multiscale Material Behavior), and MINT (Numerical Simulation). Research Interests include: Acoustic wave propagation in structured materials Hydrodynamic and sedimentary processes in tidal bores Thermal analysis of mechanical systems Multiscale modeling of heterogeneous materials Non-destructive evaluation methodologies Contactless micromanipulation using acoustics Publications demonstrate expertise in turbulence measurement, sediment transport, fluid-structure interactions, and thermal-fluid coupling, with a focus on mechanical and environmental applications.

• Physical Acoustics
• Ultrasound
• Material Characterization
• +7 more

AMIROUDINE Sakir is a researcher at the University of Bordeaux, actively contributing to interdisciplinary projects across multiple research groups. He is affiliated with the TREFLE (Energy Fluid Transfers), APY (Physical Acoustics), DuMAS (Sustainability of Materials), GCE (Civil and Environmental Engineering), and other collaborative initiatives. His research spans: Acoustic wave propagation in complex media Material characterization and durability Multiscale modeling of heterogeneous materials Thermal imaging and numerical simulations Contactless micromanipulation using acoustic waves Contact: sakir.amiroudine@u-bordeaux.fr

• Computational Mechanics
• Material Science
• Biomechanics
• +5 more

Prof. Bernd Markert serves as Professor and Head of the Institute of General Mechanics at RWTH Aachen University's Faculty of Mechanical Engineering. He concurrently holds critical university-wide roles including Rector's Representative for Alumni and Rectorate Mandate for Mexico Cooperation, based in Aachen's Faculty of Mechanical Engineering building. His research spans computational mechanics with emphasis on phase-field modeling, molecular dynamics, and machine learning integration. Key focus areas include biodegradable magnesium alloys for biomedical implants, multiscale composite material behavior, and AI-enhanced structural failure prediction. Recent work bridges physics-based simulations with neural networks for constitutive modeling and corrosion prediction. Analysis of his 2022-2025 publications reveals accelerating convergence of mechanics and artificial intelligence, particularly in physics-informed neural networks for crystal plasticity and phase-field frameworks. His team demonstrates consistent innovation in modeling porous media, network materials, and biomechanical systems while maintaining strong industry-relevant applications in additive manufacturing and biomedical engineering. As Institute Head, Markert leads the Chair and Institute of General Mechanics (IAM), directing research on fundamental mechanics principles applied to advanced materials and structural systems through computational and experimental methodologies.

Hadi HajibeygiView profile

Professor

• Multiphase Flow in Porous Media
• Multiscale Modeling and Simulation
• Subsurface Hydrogen Storage
• +8 more

Hadi Hajibeygi is a Professor of Geo-Energy Solid and Fluid Mechanics at Delft University of Technology, leading subsurface storage research and multiscale modeling initiatives. He serves as the Subsurface Storage Theme Lead (2016–present) and Energi Simulation Chair holder (2022–present), with a focus on underground hydrogen storage, CO2 sequestration, and geothermal energy systems. His research integrates multiphase flow in porous media , multiscale simulation , and geomechanical stability , supported by NWO-Vidi and Interpore awards. He leads the DARSim and ADMIRE projects, developing frameworks like Adaptive Dynamic Multiscale Integration and pEDFM-U for fractured reservoirs. Key awards include: Interpore Award for Porous Media Research (2021) NWO-Vidi Laureate (2019) Interpore Rosette (2017) ETH Zurich PhD Medal (2012) TU Delft Innovative Teaching Talent (2018) His teaching portfolio spans Dynamics of Solids and Fluids , Numerical Methods for Subsurface Simulation , and Multiscale Modeling , while advising a team of postdocs and PhD candidates on projects spanning induced seismicity, microbial interactions, and fractured reservoir mechanics.