جست‌وجوی استاد و پژوهشگر

• Geometric Analysis
• Partial Differential Equations
• Functional Analysis
• +۳ مورد دیگر

Yann Bernard is a Senior Lecturer at the School of Mathematics, Monash University. His research focuses on geometric analysis with applications to elastic surface modeling, particularly Willmore surfaces and their energy-minimizing properties. He holds a B.S. (2000) and Ph.D. (2006) in Mathematics from the University of Michigan. He conducted postdoctoral research at ETH Zurich (2006–2009, 2014–2015) and the Albert-Ludwigs-Universität Freiburg (2009–2014). Research Interests: Fourth-order elliptic PDEs modeling elastic surfaces Regularity theory for solutions to geometric variational problems Functional spaces in geometric analysis (Hardy/Lorentz spaces) Applications to biological membrane modeling (red blood cells, liposomes) Key Research Trends: His work bridges differential geometry and nonlinear PDEs, emphasizing energy quantization, singularity analysis, and compactness properties. Recent studies investigate Chen flow singularities and Helfrich model stability. Awards: None explicitly listed in provided texts. Advising/Grants: No formal advisees listed; no grant details provided. Collaborations span geometric analysis and mathematical physics. Labs/Teams: Affiliated with Monash University's School of Mathematics, with active research groups in geometric analysis and PDEs.

David Swigonمشاهده پروفایل

استاد

• Mathematical Biology
• Nonlinear Dynamics
• DNA Mechanics
• +۳ مورد دیگر

David Swigon is a Professor of Mathematics at the University of Pittsburgh's Dietrich School of Arts and Sciences. His research focuses on applying mathematical models to biological systems, including DNA mechanics, protein-DNA interactions, cell migration, and immune system dynamics. He holds a PhD from Rutgers University and maintains a dedicated research website. Research Interests: Swigon's work bridges mathematical theory with biological complexity, with key areas including stochastic modeling of viral infections, nonlinear dynamics of biochemical systems, and biomechanical simulations of cellular processes. His recent projects explore sepsis pathophysiology, cytokine networks, and surgical tissue mechanics. Notable Contributions: His 2025 studies on viral reproductive cycles and DNA topology reveal novel insights into stochastic mechanisms and structural motifs. Earlier work, such as the 2014 model of pneumococcal infection dynamics, demonstrates interdisciplinary integration of immunology and mathematics. Professional Affiliations: Swigon is affiliated with the University of Pittsburgh's Mathematics Research Center and contributes to the Department of Mathematics' academic leadership. His work frequently addresses translational challenges in medicine and ecology.

Kundan Kumarمشاهده پروفایل

استاد

• Numerical Analysis
• Porous Media
• Multiphase Flow
• +۳ مورد دیگر

Position and Affiliation: Professor at the Department of Mathematics, University of Bergen. Active in research and teaching in computational mathematics and porous media dynamics. Research Interests: Specializes in multiphase flow in porous media, numerical methods for coupled flow and geomechanics, upscaling of reactive processes, and computational models for subsurface engineering. Focus areas include CO₂ storage, microbial enhanced oil recovery, and fracture mechanics. Teaching: Taught courses in Continuum Mechanics, Numerical Linear Algebra, and Computational Science at the University of Bergen and Karlstad University. Completed pedagogical training in higher education and doctoral supervision. Publications: Over 50 peer-reviewed articles, focusing on iterative coupling schemes, numerical upscaling, and modeling of subsurface processes. Recent work includes studies on dynamic wettability alteration and MICP-based CO₂ leakage remediation. Grants and Projects: Principal Investigator (PI) and co-applicant in major projects including VISTA Center for Coupled Subsurface Dynamics (25M NOK), TheMSeS Toppforsk (25M NOK), and CLIMIT-funded initiatives. Led research on microbial induced calcite precipitation (MICP) and CO₂ storage efficiency. Labs and Teams: Leads a research group in mathematical modeling of subsurface dynamics. Collaborates with institutions like NORCE, CIPR, and international universities on porous media projects.

Jiahong Wuمشاهده پروفایل

استاد

• Fluid Mechanics
• Partial Differential Equations
• Mathematical Fluid Dynamics
• +۳ مورد دیگر

Jiahong Wu is a Professor in the Department of Mathematics at the University of Notre Dame, affiliated with the College of Science. His research focuses on nonlinear partial differential equations, particularly in fluid mechanics and magnetohydrodynamics (MHD). He has made significant contributions to understanding the Navier-Stokes equations, Boussinesq equations, and MHD systems, with emphasis on stability analysis, global solutions, and regularity theory. Education: B.S. and M.S. in Computational Mathematics, Peking University (1988–1990) M.S. and Ph.D. in Applied Mathematics, University of Chicago (1993–1996) Research Interests: Partial differential equations related to fluids and MHD Stability and asymptotic behavior of fluid systems Global well-posedness and regularity of solutions Recent Work: Investigates anisotropic fluid dynamics, fractional PDEs, and compressible/incompressible MHD models. Focuses on stabilization effects of magnetic fields, boundary conditions, and fractional dissipation. Grants and Advising: Supervised over 15 PhD students, many now in academic and industry roles. His research has been supported by grants focusing on fluid dynamics and mathematical modeling.

Guosheng Fuمشاهده پروفایل

استادیار

• Numerical Solution of Differential Equations
• Scientific Computing
• Finite Element Methods
• +۵ مورد دیگر

Guosheng Fu is the Robert and Sara Lumpkins Assistant Professor at the University of Notre Dame's Department of Applied and Computational Mathematics and Statistics (ACMS), part of the College of Science. His research focuses on numerical methods for partial differential equations, scientific computing, and high-order finite element techniques. He holds a Ph.D. from the University of Minnesota (2016), an M.S. from the same institution (2014), and a B.S. from Nankai University, China (2011). His education includes: Ph.D. in Applied Mathematics, University of Minnesota, 2016 M.S. in Applied Mathematics, University of Minnesota, 2014 B.S. in Mathematics, Nankai University, 2011 His research interests emphasize numerical solution strategies for complex systems, including fluid-structure interaction, optimal transport, and reaction-diffusion processes. Recent work highlights high-order discontinuous Galerkin (DG) methods, HDG schemes, and preconditioning techniques for incompressible flows and elasticity problems. His publications explore topics like divergence-free formulations, energy stability, and adaptive algorithms for nonlinear PDEs. Notable contributions include advancing hybridizable DG methods for fluid dynamics, developing robust numerical schemes for porous media flow, and creating efficient solvers for mean field control problems. His work bridges computational mathematics with applications in engineering and physical sciences. He currently holds no listed scientific awards but has an active research program supported by his academic position and collaborations. No advising or grant details are explicitly provided in the text.

David Murakiمشاهده پروفایل

استاد

• Applied Mathematics
• Geophysical Fluid Dynamics
• Nonlinear Partial Differential Equations (PDEs)
• +۵ مورد دیگر

David Muraki is a Professor in the Department of Mathematics at Simon Fraser University (SFU), affiliated with the Faculty of Science. His research focuses on applied mathematics, particularly geophysical fluid dynamics, nonlinear partial differential equations (PDEs), and atmospheric/oceanic flows. He investigates phenomena like weather dynamics, gravity waves, and topographic effects, often collaborating with institutions like the National Center for Atmospheric Research (NCAR) and the University of Washington. Muraki holds a Ph.D. in Applied Mathematics from Northwestern University (1990). His research emphasizes idealized models to explain physical systems, using asymptotic methods and numerical simulations. Key areas include pressure-cell asymmetry in weather systems, atmospheric turbulence, and tropopause dynamics. He teaches courses like Asymptotic Analysis and Fluid Dynamics, and has advised numerous graduate students in applied mathematics and fluid dynamics. Recent work includes studies on holepunch cloud expansion via gravity waves and geometric solutions to historical algebraic problems. His findings bridge theoretical mathematics with real-world applications in meteorology and oceanography.

• Partial Differential Equations
• Approximation Theory
• Nonlinear Approximation
• +۳ مورد دیگر

Guergana Petrova is a Professor in the Department of Mathematics at Texas A&M University, affiliated with the College of Arts & Sciences. She holds a Ph.D. from the University of South Carolina (1999) and earlier degrees from Sofia University, Bulgaria. Her research focuses on Partial Differential Equations, Approximation Theory, Nonlinear Approximation, and Numerical Methods, with notable contributions to hyperbolic PDEs, conservation laws, and numerical quadrature. Her academic career includes roles as Assistant Professor at the University of Michigan (1999–2001) and Texas A&M University (2001–2006), followed by promotion to Associate Professor (2006–2011) and Full Professor (2011–present). Her work bridges theoretical analysis and computational methods, emphasizing nonlinear approximation, neural network approximation, and reduced modeling techniques. Key research trends in her publications include advancing numerical schemes for PDEs, analyzing approximation theory in high-dimensional spaces, and exploring machine learning applications. She has collaborated extensively with researchers like DeVore, Kurganov, and Wojtaszczyk on topics ranging from greedy algorithms to fluid dynamics. Petrova’s contributions include foundational work on central-upwind schemes for hyperbolic systems, optimal recovery methods, and entropy number analysis. Her teaching includes advanced courses in numerical analysis and applied mathematics.

Antony Jamesonمشاهده پروفایل

استاد

• Fluid Dynamics
• Computational Fluid Dynamics
• Aircraft Design
• +۳ مورد دیگر

Antony Jameson is a Professor in the Department of Aerospace Engineering at Texas A&M University, holding the Jack E. & Frances Brown Chair in Engineering. He is affiliated with the Aerospace Computing Lab and the College of Engineering. His research focuses on fluid dynamics, computational mathematics, computational fluid dynamics (CFD), aircraft design, and control theory. He is a Fellow of the Royal Society and a Foreign Member of the National Academy of Engineering. Jameson’s work emphasizes high-order numerical methods, including flux reconstruction and spectral difference schemes, with applications to unsteady aerodynamics, turbulence modeling, and large-eddy simulation (LES). He has contributed extensively to CFD software development (e.g., PyFR, ZEFR) and GPU-accelerated computing. His research also addresses inverse design problems, aerodynamic optimization, and active flow control for heavy vehicles. Key publications span industrial CFD adoption, GPU-based adaptive frameworks, and high-fidelity simulations of complex flows (e.g., turbine blades, golf ball aerodynamics). His awards reflect recognition of contributions to computational science and engineering. Jameson collaborates on projects involving structural wall modeling, mesh adaptation, and machine learning for CFD data recovery. His lab supports interdisciplinary efforts in aerospace design, fluid-structure interaction, and high-performance computing.

Timothy Moroneyمشاهده پروفایل

استاد

• Computational Mathematics
• High Performance Computing
• Surface Reconstruction
• +۴ مورد دیگر

Professor Timothy Moroney holds the position of Professor in Mathematics at Queensland University of Technology (QUT), within the School of Mathematical Sciences. His research focuses on computational mathematics, high-performance computing, and their applications in fluid dynamics, agrichemical retention, and fractional diffusion phenomena. He earned his PhD from QUT and has contributed extensively to interdisciplinary projects including surface reconstruction from 3D laser scans for agricultural applications, droplet evaporation modeling on plant surfaces, and ship wake pattern analysis. His work bridges theoretical mathematics with practical engineering solutions. Key research areas include: Surface reconstruction using scattered data interpolation Mathematical modeling of droplet dynamics on heterogeneous surfaces Time-frequency analysis of ship-generated wave patterns Distributed-order fractional differential equations for nonlocal diffusion He has secured multiple Australian Competitive Grants, including projects on fractional models, ship wakes, and agrichemical retention. His awards include the Vice-Chancellor's Performance Award (2016) and Senior Fellow of the Higher Education Academy (2017). Teaching responsibilities include foundational mathematics units focused on computational problem-solving and linear algebra applications in big data.

• Complex Fluids
• Nonlinear Partial Differential Equations
• Free Boundary Problems
• +۳ مورد دیگر

Jonathan Evans is a Reader in the Department of Mathematical Sciences at the University of Bath. He is affiliated with the EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa), the Institute for Mathematical Innovation (IMI), and the Centre for Nonlinear Mechanics. His research focuses on Asymptotic Analysis, Perturbation Methods, and Industrial/Applied Mathematical Modelling, with applications to complex fluids, high-order nonlinear PDEs, and free boundary problems in engineering and finance. Notable projects include the GCRF-funded initiative for rural water treatment using 3D printing and mathematical modeling (2016-2017). His research interests span complex fluids with memory (e.g., polymer and food industries), Cahn-Hilliard and thin film equations (fourth/sixth/tenth order), and free boundary applications in semiconductor fabrication and financial derivatives pricing. Recent publications address boundary layer dynamics in viscoelastic fluids and numerical scheme validation for non-Newtonian models. Dr. Evans has secured research funding from the EPSRC and The Royal Society, focusing on complex fluids asymptotics and international conferences. His work contributes to UN SDG goals through innovations in sustainable engineering solutions.

Francesco Aristodemoمشاهده پروفایل

دانشیار

• Hydraulic Engineering
• Coastal Engineering
• Maritime Engineering
• +۱۳ مورد دیگر

Francesco Aristodemo is an Associate Professor in the Department of Civil Engineering at the University of Calabria, where he leads the Coastal and Offshore Engineering research group (CAMEL Laboratory) within the “Grandi Modelli Idraulici” facility. His academic career includes prior roles as Assistant Professor at both the University of Calabria and eCampus University. He holds a PhD in Hydraulic Engineering for Environment and Territory from the University of Calabria and a degree in Civil Engineering cum Laude. His research expertise lies in hydraulic, coastal, and environmental engineering, with a focus on experimental and numerical modeling. Key areas include wave-structure interaction, hydro-morphodynamic processes, Smoothed Particle Hydrodynamics (SPH), tsunami dynamics, wave energy conversion, pollutant transport, and statistical analysis of marine trends. He employs advanced computational techniques such as CFD and LES within SPH frameworks and conducts large-scale physical experiments. The 15 most recent articles highlight a consistent research trajectory centered on coastal hydrodynamics, numerical modeling innovation (especially SPH), and environmental impact assessment. Topics span solitary wave run-up, wave trends in the Mediterranean, propeller-induced scour, multiphase flows, and sustainable coastal protection systems. The publications reflect strong interdisciplinary collaboration and a blend of experimental and computational methodologies. Scientific Awards: 2017 Outstanding Reviewer Award, journal Water (MDPI) Francesco Aristodemo has supervised over 60 graduate theses and 3 PhD students. He has been actively involved in numerous national and international research projects including PRIN, HYDRALAB, RITMARE, and PON initiatives (SILA, SIGIEC, SMoRI). He also serves on the editorial board of Mathematical Problems in Engineering (Hindawi) and has acted as Guest Editor for special issues in Water . His research has been supported through academic and industrial collaborations across Europe and beyond. He is a key member of the Coastal and Offshore Engineering research group (CAMEL Laboratory) within the “Grandi Modelli Idraulici” at the University of Calabria. This laboratory supports both research and teaching activities in hydraulic modeling, with facilities for large-scale physical experiments in coastal and fluvial environments. The team focuses on innovative, low-impact solutions for coastal defense and environmental sustainability.

• Thermoacoustics
• Combustion Systems
• Fluid Dynamics
• +۳ مورد دیگر

Jonas Moeck is a Professor at the Department of Energy and Process Engineering, Norwegian University of Science and Technology (NTNU). His research focuses on thermoacoustics, combustion systems, and nonlinear dynamics, with a particular emphasis on understanding and stabilizing combustion instabilities in gas turbine combustors. He has contributed extensively to the study of can-annular combustors, acoustic spectra analysis, and flame transfer functions. His work integrates advanced numerical methods and experimental validation to address challenges in combustion stability and acoustic mode interactions. Recent research explores the dynamics of ammonia-hydrogen blends and autoignition fronts, highlighting innovations in low-carbon fuel systems. Moeck collaborates internationally and has published in top-tier journals like Combustion and Flame and Journal of Fluid Mechanics . Key research themes include: combustion instability mechanisms, thermoacoustic eigenvalue problems, plasma-assisted combustion, and the application of quantum-mechanical methods to fluid dynamics. His studies often address practical engineering challenges in turbine design and emission reduction. Publications span combustion physics, acoustics, and nonlinear systems, with a focus on interdisciplinary approaches to solving complex fluid-thermal interactions. Current work emphasizes predictive modeling of intrinsic oscillations and the development of robust stability criteria for modern combustor configurations.

• Partial Differential Equations
• Mathematical Fluid Dynamics
• Navier-Stokes Equations
• +۳ مورد دیگر

Igor Kukavica is a Professor of Mathematics at the University of Southern California (USC), holding this position since 2004. He specializes in partial differential equations (PDEs) and mathematical fluid dynamics, focusing on topics such as the Navier-Stokes equations, free boundary problems, fluid-structure interaction, and stochastic PDEs. His research bridges theoretical analysis and applications, particularly in fluid mechanics and superfluidity. Education: Ph.D. in Mathematics from Indiana University (1993), M.S. and B.S. in Mathematics from the University of Ljubljana (Slovenia). He also holds a Performer Diploma in Guitar from Indiana University (1992). Research Interests: His work emphasizes the regularity theory of PDEs, inviscid limits, and the mathematical analysis of fluid dynamics. He explores boundary control, stochastic Navier-Stokes equations, and the interplay between fluid and elastic structures. Publications: Over 200 articles, including seminal works on the Euler and Navier-Stokes equations, free boundary problems, and stochastic fluid dynamics. Recent trends include studies on analytic solutions, inviscid limits, and fluid-structure interaction models. Awards: Recipient of the Alfred P. Sloan Fellowship (2000), Sloan Doctoral Dissertation Fellowship (1991), and the Weber and Preseren Awards for academic excellence. He has organized numerous conferences, including the Southwestern Workshop on Dynamical Systems and the MSRI semester program on fluid dynamics. Advising and Grants: Supervised 13 Ph.D. students and mentored postdoctoral researchers. His grants and collaborations span fluid dynamics, PDEs, and stochastic analysis. Active in editorial roles for journals such as AIMS Mathematics and Applied Mathematics and Optimization . Labs/Teams: Collaborates with researchers globally, including at the Courant Institute, Caltech, and institutions in China and Europe. His work often involves interdisciplinary teams addressing complex fluid dynamics challenges.

• Fluid Dynamics
• Partial Differential Equations
• Mathematical Physics
• +۳ مورد دیگر

Abhishek Balakrishna is an Assistant Professor (RTPC) in the Department of Mathematics at the University of Southern California's USC Dornsife College of Letters, Arts and Sciences. His research focuses on fluid dynamics, partial differential equations, and mathematical physics, with emphasis on problems involving fluid-structure interactions, nonlinear systems, and regularity criteria for Navier-Stokes equations. His recent work addresses topics such as elastic stabilization of hyperbolic flows and data assimilation techniques in geophysical fluid dynamics. Key research contributions include studies on infinite-dimensional dynamical systems, nonlinear plate dynamics, and the application of von Karman plate models for stabilizing 3D potential flows. His articles often bridge theoretical mathematics with real-world phenomena in fluid mechanics and structural dynamics. Dr. Balakrishna has published extensively in high-impact journals, with recent publications covering novel regularity criteria for Navier-Stokes systems and the analysis of subsonic flow effects on structurally damped panels. While no awards or grants are explicitly mentioned, his work demonstrates a strong focus on advancing computational and analytical methods in applied mathematics.

• Data Assimilation
• Numerical Multiscale Methods
• Stochastic Systems
• +۳ مورد دیگر

Dr. John Maclean is a Lecturer in Data Science and Statistics at the University of Adelaide, affiliated with the School of Computer and Mathematical Sciences within the Faculty of Sciences, Engineering and Technology. His research focuses on Data Assimilation (DA) and Numerical Multiscale Methods, with particular interests in coherent structure DA, projected DA, non-Gaussian measurement error modeling, and surrogate-based DA techniques. He also explores projective integration and patch dynamics for stiff systems and spatially heterogeneous problems. His work addresses challenges in combining uncertain model forecasts with data, accelerating simulations of complex systems, and designing efficient statistical surrogates. Notable contributions include methodologies for adaptive moving patches in multiscale simulations and theoretical insights into stochastic processes and uncertainty quantification. Dr. Maclean is actively involved in supervising postgraduate research students and is open to mentoring those interested in his research areas. His publications span topics from data assimilation algorithms to environmental and computational modeling, reflecting his interdisciplinary approach to applied mathematics and computational science.