Esther Daus is a researcher affiliated with the Department of Analysis at TU Wien. Her primary research focuses on cross-diffusion systems, partial differential equations (PDEs), and their applications in biomathematics and stochastic processes. She specializes in deriving macroscopic models from microscopic particle systems, particularly in the context of biofilm growth, interacting particle systems, and fractional diffusion phenomena. Her work bridges applied mathematics with computational science, addressing challenges in numerical methods for degenerate PDEs and stochastic algorithms. Key contributions include rigorous analysis of cross-diffusion limits, finite-volume scheme convergence, and long-time behavior of nonlocal equations. She has advised PhD candidates Markus Fellner and Alexandra Holzinger on cross-diffusion and population dynamics modeling.
Magnus Svärd is a **Professor** in the **Department of Mathematics** at the **University of Bergen**. His research focuses on computational fluid dynamics, numerical analysis, and high-order methods for solving partial differential equations. He specializes in entropy-stable schemes, boundary conditions for compressible flow models, and numerical discretizations for Navier-Stokes and Euler equations. His work emphasizes stability, accuracy, and efficiency in finite-difference and finite-volume methods, with applications to aerodynamics and fluid-structure interactions. Svärd collaborates extensively with researchers in applied mathematics and computational science, contributing to both theoretical advancements and practical implementations of numerical algorithms. Key contributions include entropy-stable boundary treatments for compressible flows, diffusive compressible Euler models, and stability analyses of high-order schemes. His research is published in top-tier journals like *Journal of Computational Physics* and *BIT Numerical Mathematics*. Academic activities include advising students (none listed here) and leading projects in numerical methods for fluid dynamics. No specific grants or labs are highlighted in the provided information.
Jakub Wiktor Both is a permanent researcher at the Department of Mathematics, University of Bergen (UiB). He is affiliated with the Porous Media Research Group and the Center for Modeling of Coupled Subsurface Dynamics. His research focuses on numerical methods for multiphysics problems in porous media, including image-based data analysis for laboratory experiments and mathematical modeling of CO2 storage. His work involves developing tools like the DarSIA (Darcy Scale Image Analysis) toolbox for fluid displacement analysis and PorePy, a Python simulation framework for fractured porous media. He leads projects on CO2 storage validation and has been awarded an NFR FRIPRO grant for his TIME4CO2 initiative, aiming to enhance CO2 storage capacity through mathematical modeling. Key research themes include optimal transport metrics, robust numerical solvers for coupled systems, and gradient flow structures in dissipative systems. His contributions span experimental validation frameworks (e.g., FluidFlower), digital twins (PoroTwin), and open-source software for subsurface dynamics. Notable awards include election as Chair of the Board of InterPore Norway (2024) and leadership in international projects like ERC CoG MaPSI and NFR Petrosenter CSSR. His interdisciplinary approach bridges mathematics, geoscience, and engineering for sustainable subsurface resource management.
Jonathan Leake is an Assistant Professor in the Department of Combinatorics and Optimization at the University of Waterloo . His research focuses on log-concave polynomials and their applications in combinatorics and computer science. Education: PhD in Mathematics, UC Berkeley (2014-2019) MS in Mathematics, Texas A&M University (2010-2012) BS in Computer Engineering and Applied Math, Texas A&M University (2006-2010) Research Interests: His work centers around log-concave polynomials and their connections to combinatorics, optimization, and computer science. Key areas include: Lorentzian polynomials and their applications Polynomial capacity and optimization Sampling algorithms and combinatorial structures Representation theory and algebraic combinatorics Scientific Awards: Dirichlet Postdoctoral Fellowship (TU Berlin, 2020-2022) James H. Simons Fellowship (Simons Institute, UC Berkeley, Spring 2019) Previous Positions: Postdoc Fellowship, Institut Mittag-Leffler, Stockholm (Spring 2020) Postdoc, KTH, Stockholm (Fall 2019) Developer, Teacher Retirement System of Texas (2012-2014)
Mehmet Şahin is a Professor in the Department of Astronautical Engineering at Istanbul Technical University, specializing in computational fluid dynamics for aerospace applications. His research focuses on developing advanced numerical methods including finite volume techniques, mesh adaptation algorithms, and multiphase flow simulations. His core research interests encompass Finite Volume Method, Numerical Simulation, Numerical Algorithms, Arbitrary Lagrangian-Eulerian Method, Unstructured Finite-volume Method, PETSc Library, Anisotropic mesh adaptation, and Airfoil aerodynamics. These areas drive innovation in solving complex fluid-structure interaction problems and high-fidelity aerospace simulations. Recent publications (2022-2025) reveal a concentrated effort on the HEMLAB algorithm for high-lift configurations, rotorcraft dynamics, and missile aerodynamics, emphasizing anisotropic mesh adaptation and validation against NASA/JAXA standards. His work consistently bridges theoretical numerical methods with practical aerospace engineering challenges. Scientific Awards: No awards or honors are documented in the current profile. Professor Şahin has supervised 13 graduate students and secured 9 research projects since 2015. Key initiatives include: Engineering Analysis Software Development Project (2025-2026) Open Source OpenFOAM Software Development (2023) Arbitrary Lagrangian-Eulerian Algorithm for Compressible Flows (2022-2024) HEMLAB Validation using NASA CRM Landing System (2022) funded primarily by TUBITAK and industry partnerships for advancing open-source CFD frameworks. He directs the HEMLAB research group, which develops and implements cutting-edge computational algorithms for aerospace fluid dynamics, with current focus on multiphase flows and compressible turbulence modeling.
Doğa Doğan is a Professor in the Department of Geophysical Engineering at Istanbul Technical University. His primary research focuses on geophysical modeling of fluid circulation in fault systems, geothermal energy systems, and tectonic influences on geological processes. He has led major projects including the 'Numerical Modeling of the Effect of the Gediz Graben Detachment Fault' and 'Investigation of Geothermal Potential of Izmir Region'. His work combines geophysics, hydrogeology, and numerical simulation to study fluid dynamics in complex geological settings like the Gediz Graben and the Sea of Marmara. Key projects involve finite volume modeling techniques to analyze heat distribution and fluid flow in fault-controlled environments. Dr. Doğan has published extensively on fault architecture impacts, geothermal reservoir characterization, and the interplay between tectonics and hydrological systems. His research has contributed to understanding deep hydrothermal systems in back-arc basins and the thermal regimes of active fault zones. He currently leads the BAP-funded project 'Karadenizde Gaz Hidratların Duraylılığını Etkileyen Faktörlerin Sonlu Hacimler Yöntemi Kullanılarak Araştırılması', exploring gas hydrate stability factors using numerical methods.
İnci Pir serves as a Researcher in the Department of Mechanical Engineering at Istanbul Technical University, specializing in advanced composite materials and mechanical property analysis. Her work integrates experimental and computational approaches to address challenges in structural and environmental engineering applications, with an active publication record showing significant output in 2025. Her research portfolio centers on Composite Materials, Nanocomposites, Mechanical Properties, and Membrane Engineering, with specific expertise in Porosity, Mechanical Testing, and Cellulose Nanofibrils. Current projects investigate temperature-dependent behavior of epoxy composites, fatigue performance of auxetic lattice structures, and water filtration membrane development, utilizing techniques like finite element analysis and machine learning. Recent publications (2024-2025) demonstrate interdisciplinary trends bridging mechanical engineering with environmental technology. Key themes include nanocomposite membrane development for water treatment, topology optimization of wind turbine blades using metallic foams, and machine learning applications for biogas production prediction. Her work consistently addresses material homogenization, porosity effects, and mechanical reinforcement strategies across structural and sustainable energy domains.
Raşid Ahmed Yıldız is a Professor in the Department of Mechanical Engineering at Istanbul Technical University. His research focuses on advanced manufacturing technologies, materials science, and mechanical behavior of materials under extreme conditions. He leads projects on additive manufacturing processes like laser powder bed fusion (L-PBF), explosive forming of metals, and numerical modeling of material deformation. His expertise includes analyzing residual stresses, surface roughness, and mechanical properties of materials such as Inconel 625, 316L stainless steel, and aluminum alloys. He employs finite element methods and numerical simulations to study damage evolution, strain rate effects, and forming processes. Recent work explores the impact of laser parameters, transfer mediums, and explosive types on material behavior. Yıldız has published widely in journals like Materials Today Communications and International Journal of Advanced Manufacturing Technology. His projects include investigations into the mechanical behavior of additively manufactured metals and the modeling of damage in DP600 steel using advanced constitutive models. He currently leads two funded projects focusing on material deformation analysis and static/variable load conditions in metal components.
Ayşe Gül Güngör is a Professor at Istanbul Technical University's Department of Aerospace Engineering. Her research focuses on turbulent boundary layer dynamics, pressure gradient effects, and advanced simulation techniques like Large Eddy Simulation (LES) and Lattice Boltzmann methods. Institution: Istanbul Technical University Department: Aerospace Engineering Research Interests: She investigates fundamental aspects of turbulent flows, including: Pressure force interactions in boundary layers Curvature effects on bluff-body wakes High-accuracy reactive flow solvers for combustion 3D velocity field modeling Statistical and dynamic properties of turbulence Hybrid numerical methods for complex geometries Publication Trends: Recent works emphasize computational fluid dynamics (CFD) applications, turbulence modeling in combustion systems, and pressure-driven flow instabilities. Collaborations with international researchers (e.g., Y. Maciel, D. Rodríguez) highlight cross-disciplinary projects. Grants & Projects: As Principal Investigator (PI), she leads multiple funded projects including: Hybrid Lattice Boltzmann-Finite Volume Method development (TUBITAK) Hydrogen-Enriched Methane Flame analysis (BAP) Novel Reactive Flow Solvers for Turbulent Combustion (TUBITAK) Direct Numerical Simulation of boundary layer properties (BAP)
Marcelo H. Kobayashi is a Professor in the Department of Mechanical Engineering at the University of Hawaii at Manoa . He holds dual PhDs in Mechanical Engineering (1994) and Mathematics (2003) from the Technical University of Lisbon/IST, Portugal. His research spans Computational Fluid Dynamics (CFD) , Fluid Mechanics , and Multidisciplinary Design Optimization (MDO) , integrating advanced numerical methods and genetic algorithms to solve complex engineering problems in aerospace, biomechanics, and defense applications. CFD: Stream function methods, finite volume schemes for Navier-Stokes equations, and Padé approximations. Fluid Mechanics: Stokes flows, particle dynamics in rotating systems, and acoustic wave propagation in shear layers. MDO: Hybrid genetic programming for metamaterials, cellular division optimization for control surfaces, and bio-inspired designs for micro aerial vehicles. His recent publications reflect the application of evolutionary algorithms , topological optimization , and aeroelastic modeling to challenges in air vehicle design , thermal management , and biological systems . He has led projects funded by AFOSR , NSF , and US Army , including grants for tsunami debris impact analysis and nanosat thermal control systems. As Director of the Hawaii Open Supercomputing Center , he contributes to computational research infrastructure. His teaching includes graduate courses in Computational Fluid Dynamics , Numerical Methods , and Advanced Aerodynamics .
Gianmarco Cherchi is a Tenure-Track Assistant Professor and Computer Science Researcher in the Department of Mathematics and Computer Science at the University of Cagliari, Italy, where he also completed his PhD. He teaches courses in Data Visualization and Web Programming at the undergraduate level. His research lies at the intersection of Computer Graphics and Geometry Processing, with a strong focus on surface and volumetric mesh generation, optimization, digital fabrication, and polycube-based modeling. His work combines algorithmic innovation with practical applications in fabrication, visualization, and interactive systems. The recent publications highlight a consistent trend in advanced hexahedral meshing techniques (e.g., HexBox, VOLMAP), robust geometric computation (e.g., mesh booleans), and interactive tools (e.g., ProtoSketchAR, Py3DViewer). His research spans theoretical algorithm development, benchmark creation, and applied systems for VR/AR and simulation. His scientific accolades include the Young Investigator Award 2024 from the Shape Modeling International Organization, and prior Best Thesis Awards from the Eurographics Italy Association for both his M.Sc. and Ph.D. work. Cherchi actively collaborates with researchers such as Marco Livesu, Riccardo Scateni, and others, contributing to major surveys and state-of-the-art methods in hexahedral meshing. His work is supported by publications in top venues like ACM Transactions on Graphics (SIGGRAPH), Computer Graphics Forum (Eurographics), and IEEE VR. He has also developed practical software tools like Py3DViewer for geometry processing prototyping. He leads research in digital fabrication pipelines, as evidenced by publications on polycube decomposition for manufacturing and automated flat pattern generation. His lab work involves developing interactive and robust systems for 3D modeling and analysis.
Dr. Yap Yit Fatt is an Associate Professor in the Department of Mechanical & Nuclear Engineering at Khalifa University. He earned his PhD in Mechanical Engineering from Nanyang Technological University (2007), MEng (2002), and BEng (2000) from Universiti Teknologi Malaysia. Education : PhD (NTU, 2007), MEng (UTM, 2002), BEng (UTM, 2000) His research focuses on numerical methods for moving boundary problems in heat, mass, and momentum transfer, particularly modeling multiphase flows, phase-change heat transfer, and particle erosion/deposition using fixed mesh finite volume techniques. Key projects include Droplet Dynamics in Droplet Deposition 3D Printing , Optimization of Fouling-Mitigated Heat Exchangers , and predictive models for Wax/Asphaltene Deposition in pipelines and wellbores. His work combines computational fluid dynamics (CFD) with practical industrial applications. He teaches advanced courses such as Advanced Viscous Flow Analysis (MEEN 612), Computational Methods for Mechanical Engineers (MEEN 360), and Multiphase Flow Engineering (MEEN 615).
Jeffrey Weiss is a Professor of Biomedical Engineering at the University of Utah, with adjunct appointments in Orthopaedics and the School of Computing. He is also a Faculty Member in the Scientific Computing and Imaging Institute. His academic journey began with bachelor's and master's degrees in Bioengineering from UC San Diego, followed by a PhD in Bioengineering from the University of Utah in 1994. After postdoctoral training at Lawrence Livermore National Laboratory (1994-96), he joined the University of Utah faculty. His educational background includes: BS in Bioengineering, University of California, San Diego (1989) MS in Bioengineering, University of California, San Diego (1990) PhD in Bioengineering, University of Utah (1994) Postdoctoral training in Applied Mechanics, Lawrence Livermore National Laboratory (1994-96) Professor Weiss's research focuses on experimental and computational biomechanics, with applications to musculoskeletal and cardiovascular soft tissues. His key areas include the mechanics of angiogenesis, development of patient-specific analysis methods, structure-function relationships in ligaments and tendons, and computational biomechanics software development. With Gerard Ateshian at Columbia, his lab develops FEBio, an open-source finite element software suite widely used in biomechanics research. His extensive publication record demonstrates a consistent focus on advancing computational methods in biomechanics, with recent work emphasizing patient-specific modeling, multiscale approaches, and open-source software tools. His research bridges engineering principles with biological applications, particularly in cardiovascular and orthopedic contexts. His notable scientific achievements include: Whitaker Foundation Research Grant (1995) NSF CAREER Award (2002) ASME YC Fung Young Investigator Award (2002) Election to Fellow of the AIMBE (2006) ASME Van C. Mow Medal (2013) Election to Fellow of the ASME (2018) Distinguished Research Award from the University of Utah Multiple Best Paper awards Editor's Choice Award (2023) Honored as a Top 15% Graduate Level Instructor in the College of Engineering (2022) Professor Weiss has successfully secured numerous NIH-funded research grants supporting computational biomechanics, cardiovascular modeling, and tissue engineering. His development of the FEBio software suite has created a valuable resource for the biomechanics community. He is actively involved in teaching, with courses focused on biomechanics and computational methods, and has received consistent recognition for teaching excellence. He leads a research group that develops and applies advanced computational methods to solve challenging problems in biomechanics, collaborating extensively with clinicians and researchers across disciplines, particularly in orthopedics and cardiovascular medicine, to translate computational advances into clinically relevant applications.
Saverio E. Spagnolie is a Professor at the University of Wisconsin-Madison within the College of Engineering, holding dual affiliations in Chemical and Biological Engineering and Mathematics. His research focuses on interdisciplinary fluid-structure interactions and soft matter physics through the Madison Applied Mathematics Laboratory , exploring phenomena like curvature-induced rigidity in elastic sheets, active suspensions in nematic liquid crystals, and microorganism locomotion in complex fluids. Recent work (2025-2024) examines geometric effects on elastic rigidity, arrested wave states in active nematics, and bubble-mediated levitation in supersaturated fluids. His group employs experimental, numerical, and analytical approaches to study biological and synthetic fluid systems. Collaborations span biophysics, materials science, and applied mathematics. Key research themes: Fluid Mechanics, Soft Matter, Biophysics, Applied Math Publications address topics like helical swimming trajectories, vesicle dynamics, and ESCRT-III complex membrane interactions. Funding from NSF and NIH supports his investigations into complex fluids in biological systems, with applications in disease modeling, microfluidics, and material characterization.
Markus Held is an Associate Professor in the Department of Mathematics and Statistics at UiT The Arctic University of Norway. His work focuses on plasma physics, computational modeling, and gyro-fluid turbulence simulations. Research Interests: Markus develops advanced numerical methods for simulating plasma dynamics, particularly in magnetic confinement fusion systems. His research spans plasma resistivity modeling, integral evaluation on toroidal surfaces, impurity transport in gyro-fluid systems, and conservation laws in electromagnetic models. Publication Trends: His recent work (2022-2024) emphasizes computational plasma physics, with articles published in Plasma Physics and Controlled Fusion , Journal of Computational Physics , and Nuclear Fusion . Key themes include finite-volume methods, long-wavelength approximations, and toroidal geometry applications.
