جست‌وجوی استاد و پژوهشگر

Robert Nicholsمشاهده پروفایل

استاد پژوهشی

• Computational Fluid Dynamics
• Turbulence Modeling
• Aerodynamics
• +۳ مورد دیگر

Robert Nichols is a Research Professor (Not-In-Residence) at the University of Alabama at Birmingham (UAB), affiliated with the School of Engineering. His research focuses on advanced computational fluid dynamics (CFD), turbulence modeling, and high-speed flow simulations. He has contributed extensively to the development and validation of flow solvers like Kestrel, Firebolt, and COFFE, with applications in aerodynamics, propulsion, and aerospace systems. His work emphasizes boundary layer transition models, turbulence closure schemes, and high-fidelity numerical methods for complex flow phenomena. Nichols has collaborated with organizations such as the DoD HPCMP and NASA, addressing challenges in high-lift systems, weapons bay flows, and engine-airframe integration. His publications span over three decades, reflecting expertise in both fundamental and applied fluid dynamics research. Education and professional background details are not explicitly provided in the text, but his long-standing contributions to CFD tool development suggest a strong academic and industrial background in mechanical or aerospace engineering. His research also involves unstructured mesh techniques, sliding interfaces, and thermochemical modeling for high-enthalpy flows. Despite no explicitly listed awards, his prolific publication record underscores his influence in the field. Nichols’ advising and grant activities are not detailed here, though his role as a Research Professor likely involves guiding research projects and teams. His work is centered at UAB’s Education & Engineering Complex, contributing to both academic and defense-related computational fluid dynamics advancements.

Jens Struckmeierمشاهده پروفایل

استاد

• Numerical Analysis
• Computational Fluid Dynamics
• Kinetic Theory
• +۳ مورد دیگر

Prof. Jens Struckmeier is a faculty member at the University of Hamburg, holding the position of Professor of Numerics within the Department of Mathematics, Faculty of Mathematics, Computer Science and Natural Sciences. His research focuses on applied mathematics, particularly numerical methods for partial differential equations, computational fluid dynamics, kinetic theory, and optimal control. He has contributed extensively to areas such as particle methods for the Boltzmann equation, finite-volume particle methods for conservation laws, and mathematical modeling of crystallization processes and thermal flows. His work often bridges theoretical developments with industrial applications, such as fire simulations in vehicle tunnels and polymer crystallization studies. Struckmeier's research interests include numerical analysis, kinetic theory, and the development of efficient algorithms for complex systems. He has authored or co-authored numerous publications, including books on hyperbolic partial differential equations and articles in journals like Journal of Computational Physics and Mathematical Models and Methods in Applied Sciences . His work on radiation models for low Mach number flows and optimal control of crystallization processes demonstrates interdisciplinary applications of mathematical modeling. Notable contributions include the finite-volume particle method for moving domains and kinetic schemes for granular flow equations (Savage-Hutter equations). He collaborates widely, with co-authors across institutions, and his research often addresses real-world challenges in engineering and physics. While no specific awards are listed, his sustained academic output reflects significant contributions to numerical mathematics and applied sciences.

Hasan Güneşمشاهده پروفایل

استاد

• Actuator Engineering
• Proper Orthogonal Decomposition
• Vortex Engineering
• +۴ مورد دیگر

Hasan Güneş is a Professor in the Department of Mechanical Engineering at Istanbul Technical University, Turkey, with an active research profile spanning thermal engineering, fluid mechanics, and numerical simulation. His work focuses on heat transfer, flow control, and compressor systems, supported by 66 publications and 4 funded projects. His primary research interests include Actuator Engineering, Proper Orthogonal Decomposition, Vortex Engineering, and Active Flow Control. This drives his development of numerical and experimental methods for industrial thermal-fluid challenges, particularly in refrigeration systems and respiratory airflow modeling. Recent publications (2017-2024) demonstrate consistent emphasis on computational fluid dynamics combined with experimental validation. Key trends include heat exchanger optimization, compressor lubrication analysis, and biomedical fluid dynamics, with strong industrial applications in energy efficiency and medical device design. Scientific awards: Bilimsel Telif ve Çeviri Eser Ödülü (TEÇEP) (2015) Professor Güneş has supervised 27 students and secured significant research funding. His projects include HELSAT Stom Anteni Baseplate design (2024-2025), compressor gas line numerical investigation (2020-2021), refrigerator compressor valve validation (2019), and energy efficiency in refrigeration using alternative refrigerant mixtures (REFMIX, 2017-2020).

Regis Duvigneauمشاهده پروفایل

پژوهشگر

• Scientific Computing
• Numerical Methods
• Isogeometric Analysis
• +۱۰ مورد دیگر

Regis Duvigneau is a senior researcher ( Directeur de Recherche ) at Acumes project-team within Inria Centre at Université Côte d'Azur, and affiliated with the Jean-Alexandre Dieudonné laboratory. His work bridges scientific computing, fluid mechanics, and optimization. Academic Background : INRIA researcher (2016-present), Opale team (2005-2015), post-doctoral fellow at Polytechnic Montreal (2003-2004), PhD at Centrale Nantes (2000-2002) Research focuses on numerical methods for PDE systems , particularly in fluid mechanics. Key areas: isogeometric analysis, machine learning algorithms, sensitivity analysis, Bayesian optimization, and uncertainty quantification. His recent publications demonstrate expertise in: Isogeometric Discontinuous Galerkin schemes for compressible flows Physics-Informed Neural Networks for multiphysics problems Statistical learning for metasurface optimization Shape sensitivity analysis with high-order accuracy Multi-objective optimization frameworks Collaborative projects span aerodynamics, nanophotonics, and marine engineering, including ANR contracts FREEFORM (2025-2029) and FP7 initiatives. Current advisee Nathan Ricard works on Physics-Informed Neural Networks, while past students include experts in isogeometric analysis, Bayesian optimization, and sensitivity analysis (2014-2024).

• Applied Mathematics
• Applied Machine Learning
• Uncertainty Quantification
• +۸ مورد دیگر

Quanling Deng is a Lecturer in the School of Computing at the Australian National University (ANU), where he focuses on applied mathematics, computational methods, and machine learning. Previously, he held positions as a Van Vleck Visiting Assistant Professor at the University of Wisconsin-Madison (2020–2022) and a Research Associate at Curtin University (2016–2020). He earned his Ph.D. in Mathematics from the University of Wyoming in 2016 and has conducted visiting research at institutions including INRIA (Paris), AGH University (Krakow), and École des Ponts ParisTech. Education: Ph.D. in Mathematics, University of Wyoming, 2016 Moved to the USA in 2011 to pursue studies in mathematics His research interests span Applied Mathematics (e.g., sea ice dynamics, ocean/atmosphere systems), Computational Mathematics (finite element methods, isogeometric analysis), and Machine Learning (feature interaction, deep neural networks). He also investigates Data Assimilation techniques, including stochastic models and Lagrangian-Eulerian frameworks. Research Trends: His recent work emphasizes multiscale modeling (e.g., sea ice floes), eigenvalue problem solutions using advanced finite element techniques, and explainable machine learning. He explores applications of physics-informed neural networks and parallel computing for high-performance simulations. Grants & Projects: Leading the project "Advancing Numerical Computation for Schrödinger Eigenvalue Problems" (2023) Affiliations: Previously affiliated with Curtin Institute for Computation and Curtin TIGeR. Collaborates internationally on computational mathematics and climate modeling.

John MacKenzieمشاهده پروفایل

استاد

• Numerical Analysis
• Scientific Computing
• Computational Biology
• +۷ مورد دیگر

Professor John MacKenzie is a faculty member in the Department of Mathematics and Statistics within the Faculty of Science at the University of Strathclyde, United Kingdom. He holds the academic rank of Professor and is actively engaged in interdisciplinary research spanning computational biology, industrial mathematics, and numerical analysis of partial differential equations. Doctor of Philosophy, University of Oxford, 1991 Bachelor of Science, University of Strathclyde, 1987 His research interests lie at the intersection of applied mathematics and real-world applications. He specializes in computational modelling of biological systems, particularly eukaryotic cell migration and chemotaxis , with implications for cancer metastasis, wound healing, and embryonic development. He also applies advanced numerical techniques to industrial problems such as liquid crystal modelling , photocatalytic inks , and spray drying processes . His methodological expertise includes adaptive finite element methods, moving mesh techniques, and mass-conservative schemes for evolving domains. The recent publications highlight a strong trend in combining cutting-edge numerical methods with complex biological and physical systems. The work spans from Bayesian inference in collective cell movement to computational models of liquid crystal defects and cell polarization. These articles reflect a consistent focus on developing and applying robust computational frameworks to interdisciplinary challenges in health technologies and industrial applications. His scientific recognition includes: Leverhulme Research Fellowship (2014–2016) for work on cell migration and chemotaxis Professor MacKenzie is actively involved in supervising PhD students and leading major research grants. He is currently a Principal Investigator on EPSRC-funded projects, including the Maths DTP 2021/22 and DTP 2224, and has previously led grants funded by CRUK, Hewlett-Packard, and Procter & Gamble. His collaborative network includes researchers from the Beatson Institute for Cancer Research, Queen’s University Belfast, and industrial partners. He is also a member of the Research in Cancer at Strathclyde (RICAS) group, contributing to the Health Technologies theme at the University’s Technology and Innovation Centre. He plays a significant role in the academic community, having organized major conferences such as the 28th Biennial Conference on Numerical Analysis and delivered invited talks at international workshops. His work contributes to UN Sustainable Development Goals through education and applied research in health and sustainable technologies.

Weizhang Huangمشاهده پروفایل

استاد

• Numerical Analysis
• Scientific Computing
• Numerical Partial Differential Equations
• +۶ مورد دیگر

Professor Weizhang Huang is a faculty member in the Department of Mathematics at the University of Kansas. His research focuses on numerical analysis, scientific computing, and adaptive mesh methods for solving partial differential equations. He holds a PhD from the Chinese Academy of Sciences and has held academic appointments since 1986, including serving as Chair of the Department of Mathematics (2017–2022). Huang's work emphasizes mesh adaptation, finite element methods, and computational fluid dynamics. He has authored over 100 research articles and co-authored the textbook Adaptive Moving Mesh Methods (2011). Notable awards include the Don and Pat Morrison Foundation Award for Excellence in Teaching (2011) and multiple best poster/technical awards at international conferences. Education: PhD, Institute of Applied Mathematics, Chinese Academy of Sciences (1989) M.A., Institute of Applied Mathematics, Chinese Academy of Sciences (1986) B.S., Department of Mathematics, Nanjing University (1983) Research Interests: Huang's work centers on adaptive moving mesh methods, anisotropic mesh generation, finite element/finite difference methods, and their applications in fluid dynamics, fractional calculus, and image segmentation. His MMPDElab software package for adaptive meshing is widely used in computational science. Grants & Collaborations: Huang has led or co-led numerous grants, including NSF-funded projects on mesh adaptation (DMS-1115118) and GPU computing infrastructure (AFOSR 2023). He serves as an associate editor for International Journal of Computer Mathematics and Numerical Mathematics: Theory, Methods and Applications . Labs/Teams: His MMPDElab project and collaborations with institutions like Xiamen University and TU Darmstadt highlight his contributions to computational mathematics and interdisciplinary research.

• Finite Volume Method
• Numerical Simulation
• Numerical Algorithms
• +۳ مورد دیگر

Mehmet Sahin is a Professor in the Department of Aerospace Engineering at Istanbul Technical University (ITU), where he specializes in computational fluid dynamics (CFD) and numerical methods. His research focuses on advanced algorithms for fluid flow simulations, including the HEMLAB Algorithm, Arbitrary Lagrangian-Eulerian (ALE) methods, and anisotropic mesh adaptation. He leads projects funded by TUBITAK and BAP, addressing challenges in compressible flows, multiphase dynamics, and aerospace applications. Key research areas include numerical simulation of aerodynamic configurations (e.g., rotorcraft, high-lift systems), fluid-structure interaction (FSI), and parallel computing for large-scale problems. His work spans aerospace engineering, biomedical applications (e.g., cerebral aneurysm modeling), and fundamental fluid dynamics studies, such as flow around biological organisms like Drosophila. Sahin has developed open-source tools and collaborated on international standards like the AIAA and JAXA high-lift prediction benchmarks. Notable contributions include the HEMLAB Algorithm for CFD, advancements in mass-conserving ALE formulations for multiphase flows, and scalable parallel solvers. His projects emphasize algorithm robustness, high-fidelity simulation, and real-world applications in aviation and biomedical engineering.

Niels Nørmark Sørensenمشاهده پروفایل

استاد

• Computational Fluid Dynamics
• Wind Turbine Aerodynamics
• Rotor Design
• +۳ مورد دیگر

Niels Nørmark Sørensen serves as Professor in the Department of Wind and Energy Systems at Technical University of Denmark (DTU), specializing in computational fluid dynamics for wind energy applications. His research focuses on developing high-fidelity aerodynamic models for wind turbines and complex terrain flows. His scientific expertise spans: Development of EllipSys2D/3D Navier-Stokes solvers Turbulence and transition modeling Hyperbolic mesh generation Moving grid algorithms High-performance computing implementations His work directly contributes to UN Sustainable Development Goals in renewable energy. Recent publications demonstrate strong focus on rotor aerodynamics, digital twin technology, and shape optimization. Key trends include advanced RANS solvers for airfoil design, correction models for BEM methods, and high-fidelity modeling of leading-edge erosion effects. The research consistently bridges theoretical CFD with practical wind turbine engineering challenges. He actively supervises multiple PhD projects and participates in major collaborative initiatives including IEA Wind TCP Task 47 (TURBINIA Phase II). Current projects address: Wind turbine tower vortex-induced vibrations 3D shape optimization of rotors Aeroacoustic modeling with serrated airfoils Leading edge repair performance analysis

Fabian Dennerمشاهده پروفایل

دانشیار

• Numerical analysis
• Modeling and simulation
• Multiphase systems
• +۵ مورد دیگر

Fabian Denner is an Associate Professor at the Department of Mechanical Engineering, Polytechnique Montréal. His work focuses on modeling multiphase flows and related physical phenomena, including cavitation, acoustic wave dynamics, and high-performance computing (HPC). He develops advanced numerical methods and software tools for simulating incompressible and compressible flows, with applications in medicine, chemical engineering, and aerospace. His research group addresses challenges in predicting cavitation effects, liquid jet breakup, and acoustic modulation in accelerating flows. Education Dipl.-Eng. in Automotive Engineering, University of Stuttgart (2009) Ph.D. in Mechanical Engineering, Imperial College London (2013) Research Interests His expertise spans: Numerical modeling of multiphase flows Acoustic wave propagation and modulation Cavitation dynamics and biomedical applications High-performance computing (HPC) for fluid dynamics Liquid jet atomization and particle-laden flows Surface tension and interface reconstruction techniques Publications and Software Fabian has published extensively in leading journals like Physics of Fluids , Journal of Computational Physics , and Journal of Fluid Mechanics . He co-developed software frameworks such as Wave-DNA and APECSS for simulating complex fluid dynamics and acoustic phenomena. Scientific Recognition Margaret Fishenden Centenary Memorial Prize (2015) Leadership Roles Vice-director, Canadian Society for Mechanical Engineering - Fluid Engineering Technical Committee Co-director, Editorial Advisory Committee of Canadian Journal of Chemical Engineering Active contributor to international conferences (APS DFD, ICMF, IUTAM)

• Numerical Analysis
• Partial Differential Equations
• Mathematical Modeling
• +۳ مورد دیگر

Dr. Paul Zegeling is an Associate Professor at the Mathematical Institute, Faculty of Science, Utrecht University. His office is located in the Hans Freudenthal Building (Room 513) at Budapestlaan 6, Utrecht. He specializes in mathematical modeling with a focus on numerical methods for partial differential equations. Research Interests: Zegeling's work spans adaptive mesh computation, boundary value problems, and numerical analysis of PDEs. Key domains include: Moving mesh methods for reaction-diffusion systems High-order discretization techniques Computational glaciology and porous media flows Nonlinear multigrid solvers His recent publications (2019–2024) demonstrate consistent focus on advanced numerical methods for complex systems. Dominant themes include adaptive discretization schemes, glacial ice modeling, and singular perturbation problems, primarily published in computational mathematics journals. Teaching: Courses include: Introduction to Scientific Computing Numerical Methods for Partial Differential Equations Mathematics 2 Academic Activities: Has delivered invited talks at international conferences including presentations on tensor-product adaptive grids and moving mesh methodologies.

• Numerical Analysis
• Computational Mechanics
• Phase-field Modeling
• +۳ مورد دیگر

Prof. Dr. Carsten Gräser is a Professor in the Department of Applied Mathematics at Friedrich-Alexander University Erlangen-Nürnberg (FAU). His research focuses on numerical analysis, computational mechanics, and phase-field modeling, with an emphasis on nonsmooth optimization and multigrid methods for complex systems. 2025: Well-posedness of evaporation models for droplets. 2023: Multiscale fault systems and phase-field brittle fracture simulations. 2021: Membrane mechanics and DUNE framework developments. His work spans partial differential equations, computational geosciences, and biological membrane modeling, often involving finite element methods and nonlinear systems. Recent publications highlight applications in fluid dynamics, fracture mechanics, and geophysical fault simulation. His articles demonstrate a strong focus on numerical methods for phase-field models and nonsmooth systems, with recurring sub-fields like multigrid algorithms, membrane-mediated interactions, and finite element discretization. He collaborates widely on topics such as marine ice sheets and solder alloy coarsening. At FAU, Gräser teaches courses including Numerics of Incompressible Flows and Modeling, Simulation, and Optimization . His research integrates software development (e.g., the DUNE framework) with applications in physics, materials science, and geosciences.

• Computational Mechanics
• Fluid-Structure Interaction (FSI)
• Isogeometric Analysis
• +۳ مورد دیگر

Takuya Terahara is an Assistant Professor at the Green Computing Systems Research Organization, affiliated with the School of Creative Science and Engineering. His research focuses on computational mechanics, fluid-structure interaction (FSI), and isogeometric analysis with applications in biomedical engineering (heart valves, aorta flow), aerospace systems (parachutes), and automotive aerodynamics (tire flows). His work combines T-splines and space-time methods to address challenges in contact mechanics, boundary layer representation, and multi-scale flow dynamics. Notable projects include modeling red blood cell deformation, heart valve FSI with leaflet contact, and spacecraft parachute structural analysis. Research trends highlight his expertise in integrating isogeometric discretization with lattice Boltzmann methods, boundary element analysis, and slip interface techniques. His computational frameworks enable high-fidelity simulations of complex systems requiring continuity, smoothness, and contact representation. Terahara has received research grants from the Japan Society for the Promotion of Science (JSPS), including projects on local mesh refinement for flow analysis (2020-2022) and fluid-structure interaction for heart valves (2017-2020).

• Wind Engineering
• Isogeometric Analysis
• Structural Optimization
• +۶ مورد دیگر

Muhamed Horo is a Research Associate at the Chair of Structural Analysis at Technical University of Munich since 2024. He holds an M.Sc. in Civil Engineering from Technical University of Munich (2021–2024) and a B.Sc. in Civil Engineering from Middle East Technical University (2013–2019). Research Interests: Wind Engineering (modelling/simulation, vibrations, flexible membrane wings) Isogeometric Analysis (B-Rep elements, design of membrane structures) Structural Optimization (node-based approaches, additive manufacturing in construction) Multiphysics and Fluid-Structure Interaction Mesh regularization and robust mesh-moving techniques Smart structures and lightweight design Third-Party Projects: Involved in CoDA, Mistralwind, WINSENT, FlexWing, Digital Building Kit, and Generalized Force Density Method. Software Expertise: Carat++, Kratos Multiphysics, Windgenerator, TeDA, Kiwi!3D.

Christoph Pfrommerمشاهده پروفایل

استاد

• Physical Cosmology
• Galaxy Formation and Evolution
• Plasma Astrophysics
• +۶ مورد دیگر

Christoph Pfrommer is a University Professor at the University of Potsdam and Head of the Cosmology and High-Energy Astrophysics section at the Leibniz Institute for Astrophysics Potsdam (AIP). His research focuses on theoretical astrophysics spanning from plasma physics to cosmological scales, with particular emphasis on understanding galaxy and galaxy cluster formation and evolution. His educational background includes a Dr. rer. nat. from Ludwig-Maximilians-Universität München (2005), a Diploma in Physics from Friedrich-Schiller-Universität Jena (2002), and graduate studies at Harvard University (1999-2000). He completed his Privatdozent (Venia Legendi in Physics) at Ruprecht-Karls-Universität Heidelberg in 2014. Professor Pfrommer's research interests span three main areas: Physical Cosmology : Formation and evolution of galaxies, galaxy clusters, and large-scale structure in the Universe; interstellar, circum- and intergalactic medium and intercluster medium; physics of galactic feedback processes via galactic winds and jets in supermassive black holes. Plasma- and High-Energy Astrophysics : Cosmic ray acceleration and transport, magnetic fields: dynamo growth and saturation, plasma instabilities, radiative processes in galaxies and galaxy clusters; radio and gamma-ray astrophysics; propagation of relativistic gamma rays from blazars and pair creation; dark matter theory and indirect detection. Computational Astrophysics : Code development and high-performance computing with the unstructured moving mesh magneto-hydrodynamics code AREPO, the particle-in-cell (PIC) plasma code SHARP and the extended fluid-PIC code version with a Landau closure. His recent publications demonstrate a strong focus on cosmic rays, magnetic fields, and their impact on galaxy and cluster formation. His work often combines theoretical modeling with high-performance computational simulations to address fundamental questions in astrophysics. Scientific Awards and Recognition European Research Council (ERC) Advanced Grant 2020: PICOGAL (2022-2027) European Research Council (ERC) Consolidator Grant 2014: CRAGSMAN (2016-2021) Postdoctoral Fellowship at the Canadian Institute for Theoretical Astrophysics (2005-2008) Professor Pfrommer has received significant research funding through prestigious ERC grants, indicating the high impact and innovative nature of his research program. His work on cosmic rays and magnetic fields has positioned him as a leading researcher in these areas. As an educator, Professor Pfrommer has taught numerous advanced courses at the University of Potsdam, including Advanced Computational Astrophysics, Galaxies and Cosmology, and The Physics of Galaxy Clusters. His teaching emphasizes both theoretical foundations and practical computational methods, preparing students for research in modern astrophysics.