Find Academic Supervisors

• Numerical Analysis
• Approximation Theory
• Multiresolution Analysis
• +7 more

Francesc Arandiga Llau is a Professor in the Department of Mathematics at the Faculty of Mathematics, Universitat de València, Spain. He is affiliated with the ANIMS (Numerical Analysis, Images, Multiresolution and Simulation) research group, where he conducts research in applied mathematics with a focus on numerical methods and their applications. Education: PhD from Universitat de València (1992), thesis on operator approximation and spectral radius continuity, supervised by Dr. Vicent Caselles Costa. His research interests center on Numerical Analysis , Approximation Theory , and Multiresolution Methods , with significant contributions to WENO schemes , nonlinear interpolation , and image and signal compression . His work often bridges theoretical developments with practical implementations in computational mathematics and engineering. He has made notable advances in the stability, accuracy, and adaptability of reconstruction techniques for piecewise smooth and discontinuous functions. The analysis of his recent publications reveals a consistent focus on high-order numerical methods, particularly in the context of image processing and data compression . His work leverages multiresolution analysis , radial basis functions , and adaptive interpolation to improve accuracy and efficiency. Themes across his articles include monotonicity preservation, error control, and the design of nonlinear schemes that avoid spurious oscillations near discontinuities. There are no scientific awards explicitly mentioned in the provided text. Francesc Arandiga has extensive collaborative research, particularly with scholars such as Rosa Donat, Dionisio F. Yáñez, Pep Mulet, and Antonio Baeza. His work has been supported through various research projects, though specific grants are not detailed in the text. He has advised students, including those who have completed theses under his supervision, although a full list is not provided. He is a key member of the ANIMS research group, which focuses on Numerical Analysis, Images, Multiresolution, and Simulation. This team works on developing and analyzing advanced computational methods for scientific and engineering applications, particularly in the areas of data representation, image processing, and numerical solutions to differential equations.

A.E.P. (Arthur) VeldmanView profile

Professor

• Fluid Dynamics
• Computational Fluid Dynamics
• Numerical Methods
• +4 more

Prof. Arthur Veldman is a Professor in the Computational and Numerical Mathematics — Bernoulli Institute at the University of Groningen , within the Faculty of Science and Engineering. His research focuses on computational fluid dynamics, turbulence modeling, and numerical methods for multiphase flows and fluid-structure interactions. He holds additional roles as a Scientific Consultant at the National Aerospace Laboratory (NLR, Amsterdam) and as a Member of the Advisory Board at the Maritime Research Institute (MARIN, Wageningen). Key research interests include structure-preserving numerical algorithms, conservation properties in fluid simulations, and applications in aerospace and marine engineering. Recent work addresses vortex-induced vibrations in marine risers, sloshing loads in LNG tanks, and quasi-simultaneous coupling methods in hemodynamics. Professional Affiliations: Scientific Consultant, National Aerospace Laboratory (NLR) Advisory Board Member, Maritime Research Institute (MARIN) Recent Contributions: Advanced multiphase flow models for engineering applications Development of invariant-preserving discretization schemes for Euler equations Validation of turbulence models for marine and biomedical systems

Deep RayView profile

Assistant Professor

• Applied Mathematics
• Numerical Methods
• Machine Learning
• +3 more

Deep Ray is an Assistant Professor of Mathematics at the University of Maryland, College Park (UMD), with a joint appointment at the Institute for Physical Science and Technology (IPST). His research focuses on the intersection of numerical analysis and machine learning, particularly in developing robust numerical methods for partial differential equations (PDEs) and enhancing computational efficiency through AI integration. He has expertise in entropy-stable schemes, shock-capturing algorithms, and operator learning for surrogate modeling. Education and Teaching: Ray has taught advanced courses in computational methods, data science, and numerical analysis at institutions including UMD, University of Southern California (USC), and École Polytechnique Fédérale de Lausanne (EPFL). He has also developed specialized courses like Machine Learning and Computational Physics and contributed to workshops on scientific computing and deep learning. Research Interests: His work spans scientific machine learning, hyperbolic conservation laws, and physics-informed AI. Recent projects include fusion of wildfire models with satellite data, entropy-stable schemes for fluid dynamics, and Bayesian inference via generative adversarial networks (GANs). He actively collaborates on open-source tools, including a GitHub repository for deep learning tutorials. Labs and Teams: Ray leads a research group exploring AI-driven numerical methods and interdisciplinary computational challenges. His lab emphasizes practical applications in fluid dynamics, inverse problems, and reduced-order modeling.

Adriano CerminaraView profile

Senior Lecturer

• Hypersonic Flow Aerothermodynamics
• Boundary-Layer Receptivity
• Flow Stability and Transition
• +4 more

Adriano Cerminara is a Senior Lecturer and Course Leader for the BEng/MEng Aerospace Engineering programs at Sheffield Hallam University. He holds academic affiliations with the Department of Engineering and Mathematics, Materials and Engineering Research Institute, and Industry and Innovation Research Institute. His expertise spans Direct Numerical Simulation of flow equations, compressible flow modeling, and high-order Navier-Stokes solvers. Education: BEng and MSc in Aerospace Engineering from University of Rome La Sapienza PhD in Aerospace Engineering from University of Southampton (2017) PGCert in Academic Practice (University of Wolverhampton) Research Focus: Hypersonic aerothermodynamics, boundary-layer stability, turbulent flows, and thermal protection systems. He collaborates with NATO STO AVT groups on hypersonic boundary-layer transition and turbulence, and works with leading aerospace agencies/companies. Professional Memberships: Member of Royal Aeronautical Society (MRAeS), American Institute of Aeronautics and Astronautics (MAIAA), UK Turbulence Consortium (UKTC). Holds Fellow of the Higher Education Academy (FHEA). Teaching: Leads modules such as Aerospace Numerical Methods, Aerospace Structures & Dynamics, and Astronautics & Space Propulsion across undergraduate and postgraduate levels.

• Astronomy and Astrophysics
• Relativistic Hydrodynamics
• Computational Astrophysics
• +5 more

Jose Maria Marti Puig is a Full Professor in the Department of Astronomy at the Faculty of Physics, University of Valencia. He is a leading researcher in computational astrophysics, specializing in relativistic hydrodynamics and numerical methods for astrophysical phenomena. He is affiliated with the CompAC (Computational Astrophysics and Cosmology) research group. Research Interests: His work focuses on the mathematical and computational modeling of high-speed astrophysical flows governed by special and general relativity. Key areas include relativistic hydrodynamics, magnetohydrodynamics, Riemann solvers, shock wave propagation, and numerical methods for solving hyperbolic systems in astrophysical contexts. His research is foundational for simulating phenomena such as relativistic jets, neutron star mergers, and stellar collapse. The trends in his publications show a sustained focus on developing and analyzing numerical algorithms for relativistic fluid dynamics, particularly exact and approximate Riemann solvers, high-resolution shock-capturing schemes, and central numerical methods. His work bridges theoretical physics, applied mathematics, and high-performance computing in astrophysics. Scientific Contributions: Marti Puig has authored influential review articles and technical papers that are widely cited in the computational relativity and astrophysics communities. Notably, his 2003 Living Reviews in Relativity article on numerical hydrodynamics in special relativity is a key reference in the field. Advising and Collaborations: He completed his PhD under the supervision of Dr. José María Ibáñez and has collaborated extensively with researchers such as Ewald Müller, Juan Antonio Miralles, and Miguel-Ángel Aloy. While specific student advisees are not listed, his long-standing role as a professor and group leader suggests significant mentorship activity. Laboratory and Research Group: He is a core member of the CompAC (Computational Astrophysics and Cosmology) Group at the University of Valencia, which conducts advanced simulations of astrophysical systems using high-performance computing techniques.

Michael Schlottke-LakemperView profile

Professor

• High-Performance Scientific Computing
• Adaptive Multi-Physics Simulations
• Research Software Engineering
• +4 more

Dr. Michael Schlottke-Lakemper is a Professor of High-Performance Scientific Computing at the University of Augsburg, Faculty of Mathematics, Natural Sciences, and Materials Engineering. He previously held positions as an Interim Professor of Computational Mathematics at RWTH Aachen University (2022–2024) and led a research group at the High-Performance Computing Center Stuttgart (HLRS) from 2021 to 2024. His career includes postdoctoral roles at the University of Cologne and RWTH Aachen University/FZ Jülich. Education: Ph.D. in Mechanical Engineering, RWTH Aachen University (2017) Diplom in Aerospace Engineering, University of Stuttgart (2011) His research focuses on adaptive multi-physics simulations, research software engineering for high-performance computing (HPC), and scientific machine learning. Applications span fluid mechanics, aeroacoustics, and astrophysics, with recent work emphasizing robust high-order summation-by-parts methods and Julia-based computational frameworks like Trixi.jl and TrixiParticles.jl. His publications highlight advancements in discontinuous Galerkin methods, entropy stable schemes, and HPC optimization for compressible flows. Scientific contributions include Developing dynamic load balancing algorithms for multiphysics simulations Creating hybrid computational aeroacoustics methods Advancing Julia's adoption in HPC communities Improving error-based step size control in numerical solvers Current teaching activities include graduate seminars on Maschinelles Lernen in Theorie und Praxis and undergraduate courses in Numerische Lineare Algebra . He leads a research team at the University of Augsburg with collaborators across Germany, including Simon Candelaresi, Valentin Churavy, and Niklas Neher.

• Scientific Computing
• Element-Based Galerkin Methods
• Atmospheric and Oceanic Modeling
• +6 more

Welcome to my website. I am a Professor and founding member of the Scientific Computing group at the Naval Postgraduate School , with an Adjunct Professor appointment in Applied Mathematics at the University of California at Santa Cruz . My research focuses on Scientific Computing , particularly the development of continuous and discontinuous Galerkin methods for solving nonlinear partial differential equations in fluid dynamics. My group constructs numerical models for atmospheric and oceanic systems, emphasizing applications like hurricane simulations , multi-scale modeling , and GPU acceleration . We also work on projects such as NUMA (Navier-Stokes solver), xNUMA (multi-scale framework), and NUMO (ocean model). Recent trends in my publications include adaptive mesh refinement for tropical cyclones, entropy-stable formulations , GPU-accelerated atmospheric models , and dynamic LES stabilization . These works span nonhydrostatic modeling , microphysics implementation , and high-order spectral element methods applied to geophysical fluid dynamics. Emails: fxgirald@nps.edu , fgiraldo@ucsc.edu , frank.giraldo@gmail.com Students advised include Soonpil Kang, Yassine Tissaoui, Michal Kopera, Sohail Reddy, Felipe A. V. B. Alves, and others working on hurricane simulations, mesh refinement, and GPU acceleration.

• Computational Fluid Dynamics (CFD)
• Hypersonic Flows
• Shock Wave Interaction
• +5 more

Paciorri Renato is an Associate Professor at the Department of Engineering, Sapienza University of Rome. His research focuses on computational fluid dynamics (CFD), particularly in the areas of shock wave interaction, hypersonic flows, and unstructured grid techniques. He specializes in numerical methods for simulating complex aerothermal phenomena, such as re-entry trajectories, inflatable structures, and transonic flow dynamics. His work addresses challenges in aerospace engineering, including launch vehicle design, aerocapture maneuvers, and thermal protection systems. Key research contributions include the development of shock-fitting and shock-capturing techniques for analyzing flows with strong shocks. He explores innovative methods like front-tracking for inflatable shields and unstructured re-meshing for multi-body separation problems. His studies often involve collaborations with space agencies and focus on practical applications such as spacecraft re-entry systems, launch vehicle aerodynamics, and high-speed flow simulations. Paciorri’s publications span over two decades, demonstrating expertise in turbulence modeling, plasma flows, and numerical solver validation. While no specific awards are listed, his extensive body of work contributes significantly to advancing computational methods in aerospace and mechanical engineering.

Lu ZhangView profile

Assistant Professor

• Numerical Analysis of Partial Differential Equations (PDEs)
• Discontinuous Galerkin Methods
• Computational Mathematics
• +5 more

Lu Zhang is an Assistant Professor in the Department of Computational Applied Mathematics and Operations Research at Rice University. She joined Rice in 2023 after serving as the Ju Tang Chu and Wu Ping Chu Assistant Professor at Columbia University's Department of Applied Physics and Applied Mathematics. Zhang holds a Ph.D. in computational and applied mathematics from Southern Methodist University (2020) and has conducted summer research at Argonne National Laboratory (2018) and Lawrence Livermore National Laboratory (2019). Her research focuses on numerical and theoretical analysis of partial differential equations (PDEs), particularly developing high-order discontinuous Galerkin methods for PDEs with physical and biological applications. Key areas include advective wave equations, seismic imaging, chemotaxis models, population dynamics, and inverse problems. Her work emphasizes energy-stable, computationally efficient algorithms and their theoretical underpinnings. Zhang's recent publications (2021–2024) explore advanced numerical methods for wave equations, electromagnetic systems, and elastic media, with applications in geophysics, structural mechanics, and crime modeling. Her methods address challenges in high-order accuracy, stability, and computational efficiency across diverse scientific domains. No scientific awards or grants are explicitly mentioned in the provided text. She currently advises no listed students but has extensive experience in collaborative research through national laboratory partnerships.

Robin YoungView profile

Professor

• Nonlinear Partial Differential Equations
• Hyperbolic Conservation Laws
• Shock Waves
• +3 more

Robin Young is a Professor in the Department of Mathematics and Statistics at the University of Massachusetts Amherst. His research focuses on nonlinear hyperbolic waves and their interactions in systems of conservation laws, particularly in fluid dynamics and classical mechanics. Notably, he has collaborated with Blake Temple to resolve a 175-year-old paradox in acoustics by proving the existence of smooth, time-periodic nonlinear sound waves in the compressible Euler equations, providing a rigorous foundation for linear acoustics models. Young holds a Ph.D. in Mathematics from the University of California, Davis (1991), and B.Sc. degrees from the University of the Witwatersrand (1984 and 1985). His work spans theoretical analysis of shock waves, periodic solutions, and vacuum phenomena, with applications to gas dynamics and nonlinear elasticity. His research highlights include global existence results for large-amplitude solutions in isentropic gas dynamics, studies of resonance-driven wave patterns, and the development of numerical methods like modified front tracking. He has been supported by NSF grants DMS-0104485 and DMS-0507884, advancing the understanding of hyperbolic conservation laws and their connections to KAM theory through small divisor problems in periodic solutions. Key contributions include resolving vacuum dynamics in gas systems, analyzing blowup mechanisms in nonlinear systems, and exploring wave interactions in elastic materials. His work bridges analytical rigor with physical intuition, addressing foundational questions in continuum mechanics and nonlinear wave theory.

Taylor ErwinView profile

Academic

• Computational Fluid Dynamics
• Aerospace Engineering
• High-Performance Computing
• +3 more

Taylor Erwin is a Research Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Tennessee. They are affiliated with Oak Ridge National Laboratory and focus on computational fluid dynamics (CFD), high-order numerical methods, and finite-element solvers. Their work emphasizes turbulence modeling, shock capturing techniques, and aerodynamic simulation for aerospace applications. Research interests include the development of the COFFE solver within the HPCMP CREATE-AV Kestrel framework, high-performance computing optimizations, and mesh adaptation strategies. Erwin’s contributions span RANS and LES simulations, transition modeling, and validation against benchmark configurations. They collaborate on projects involving ultra-efficient aircraft design, slotted natural laminar flow concepts, and parallel computing scalability. Key technical trends in their articles include advancements in finite-element discretization, shock-capturing algorithms for discontinuous Galerkin methods, and the integration of turbulence models like Spalart-Allmaras. Recent work highlights the application of output-based mesh adaptation and high-order curved meshes for improving solution accuracy in complex flows. No scientific awards are explicitly listed in the provided information. Advising and graduate student supervision details are not mentioned. Erwin is involved with the COFFE project and the HPCMP framework, contributing to multi-level parallelism strategies and solver robustness in computational engineering. Affiliations include the University of Tennessee and Oak Ridge National Laboratory, with research activities centered on aerospace CFD challenges and high-fidelity simulation technologies.

Ryan GlasbyView profile

Adjunct Professor

• Computational Engineering
• Computational Fluid Dynamics (CFD)
• Hypersonic Flows
• +3 more

Ryan Glasby is a Joint Faculty member at the University of Tennessee and Oak Ridge National Laboratory (ORNL), specializing in computational engineering and high-fidelity fluid dynamics simulations. His research focuses on multiphysics modeling, hypersonic flows, shock wave interactions, and advanced numerical methods for CFD. He leads development efforts for solvers like VERTEX-CFD and Spinnaker , which are designed for high-performance computing platforms. His work spans experimental validation through techniques like acetone molecular tagging velocimetry and computational innovations in finite-element methods. Glasby collaborates closely with U.S. Department of Defense initiatives, contributing to projects such as HPCMP CREATE-AV Kestrel. Key areas include turbulence modeling, thermal nonequilibrium processes, and optimization of firearm suppression systems through fluid dynamics principles. Notable contributions include advancements in artificial compressibility methods for heat transfer simulations and strategic improvements to parallel processing algorithms for large-scale simulations. His research bridges fundamental fluid dynamics with practical applications in aerospace engineering and defense technologies.

• Numerical Relativity
• General Relativistic Hydrodynamics
• Computational Astrophysics
• +7 more

Pablo Cerda Duran is an Associate Professor at the Universitat de València, affiliated with the Faculty of Physics, Department of Astronomy and Astrophysics. He is a member of the Computational Astrophysics and Cosmology (CompAC) research group and previously contributed to the Computer Aided Modeling of Astrophysical Plasma (CAMAP) group. He earned his PhD in 2006 with a thesis on the general relativistic collapse of rotating stellar cores under the supervision of Dr. José Antonio Font Roda. His research lies at the intersection of numerical relativity, computational astrophysics, and high-performance computing. He specializes in developing and applying numerical methods to simulate extreme astrophysical phenomena, particularly involving compact objects such as neutron stars and black holes. His work includes general relativistic hydrodynamics and magnetohydrodynamics, Einstein’s equations, and instabilities in rotating stars. The body of his recent publications reveals a strong focus on algorithmic innovation in numerical relativity—such as implicit time integration schemes, constrained evolution formulations, and iterative solvers—applied to problems in relativistic astrophysics. His simulations span core collapse, neutron star instabilities, and boson star dynamics, often in the context of gravitational wave sources. Email: pablo.cerda@uv.es His scientific contributions appear in leading journals like Classical and Quantum Gravity , Journal of Computational Physics , and Astronomy & Astrophysics . Although no formal awards are listed, his sustained publication record and collaborative network indicate significant recognition in the field. He has co-authored works with prominent figures such as José Antonio Font, Miguel-Ángel Aloy, and Eric Gourgoulhon. Pablo Cerda Duran leads and contributes to advanced computational modeling efforts, advancing the simulation capabilities of relativistic systems. His work continues to support the theoretical interpretation of gravitational wave signals and high-energy astrophysical events.

• Digital Scenography
• Computer Graphics
• 3D Animation
• +7 more

Petko Yakimov is an Assistant Professor at the Design Department of New Bulgarian University. With a PhD in Digital Scenography and Character in Cinema, his academic roles include teaching undergraduate courses in Human-Machine Systems and Image Analysis. He combines technical expertise with artistic sensibilities across multiple disciplines. PhD: Digital Scenography & Character in Cinema, New Bulgarian University (2016) MSc: Film & Television Direction, New Bulgarian University (2013) MFA: Scenography, National Academy of Arts (2001) BFA: Scenography, National Academy of Arts (1996) His research focuses on digital scenography , 3D animation , and virtual reality , with recent work exploring generative art techniques in Houdini and VR applications for museum visualization. Publications span topics from deepfake technology in artistic creation to 3D compositing workflows. Professional experience includes: Technical Specialist, NBU TV Studio (2019-2022) Lecturer in Multimedia & Virtual Reality at Academy for Musical, Dance and Visual Arts "Prof. Asen Sarafiev" (2018-2022) Leadership roles in computer graphics at Bulgarian National Television (2005-2011) CGI contributions to films like "Deep Shock" and "Dragon Fighter"

Ralf DeiterdingView profile

Professor

• Computational Fluid Dynamics
• Numerical Methods
• Hypersonic Flow
• +11 more

Professor Ralf Deiterding is a leading expert in Numerical Methods for Fluid Dynamics at the School of Engineering, University of Southampton . He also holds an Adjunct Associate Professor position at the Department of Mathematics, University of Tennessee - Knoxville . His work focuses on high-resolution computational methods for fluid-structure interaction, detonation waves, hypersonic flows, and adaptive mesh refinement. Education: PhD in Technical University Cottbus (2003), Diploma in Technical University Clausthal (1998) Research Interests span innovative numerical algorithms for compressible flows, rotating detonation engines , transpiration cooling , and magnetohydrodynamic solvers . He develops AMROC and Virtual Test Facility software frameworks for large-scale simulations. Scientific Contributions include parallel adaptive mesh refinement techniques for detonation physics, lattice Boltzmann methods for aerodynamics, and multi-physics simulations of hypersonic boundary layers. His publications emphasize detonation propulsion , shock-turbulence interaction , and parallel computing . Awards: ParCFD 2015 Best Paper Award Collaborations involve EPSRC-funded projects on hypersonic aerothermodynamics and atmospheric dispersion , with teams at Oak Ridge National Lab and DLR Göttingen. He supervises PhD students in computational fluid dynamics and contributes to space weather forecasting via MHD solvers.