PhD Candidate, METU
Research Scholar, Oden Institute, UT Austin
Atakan Aygun
I develop high-order numerical methods for flows with moving boundaries, built to run on GPUs.
I am a PhD candidate and research assistant at Middle East Technical University, working in the Accelerated Multiphysics Research Group with Dr. Ali Karakus and co-advisor Dr. Tim Warburton. From October 2026, I am also a Research Scholar at the Oden Institute for Computational Engineering and Sciences at The University of Texas at Austin. My current work is on arbitrary Lagrangian-Eulerian discontinuous Galerkin methods for moving-boundary problems. I am also interested in combining data-driven methods with high-fidelity simulation; my MSc focused on physics-informed neural networks for computational fluid dynamics.
Research
More on my research →Moving-boundary flows with ALE-DG on GPUs
High-order arbitrary Lagrangian-Eulerian discontinuous Galerkin methods for flows around moving and deforming bodies.
02Galerkin-Boltzmann formulations for nearly incompressible flows
Kinetic-theory based hyperbolic models of nearly incompressible flow, from laminar to turbulent regimes.
03Scientific machine learning for fluid dynamics
Physics-informed neural networks and hybrid reduced-order models combined with high-fidelity solvers.
News
- Starting as a Research Scholar at the Oden Institute for Computational Engineering and Sciences, UT Austin.
- New preprint on a high-order ALE discontinuous Galerkin method for the Boltzmann equation in nearly incompressible flows.
- Our paper on implicit large eddy simulation with a DG Galerkin-Boltzmann formulation is out in Physics of Fluids.
- Presented GPU-accelerated DG solutions on moving meshes at SIAM PP26 in Berlin.
- New preprint on a hybrid ROM-PINN framework for closure modeling.
- Talk on ALE-DG for moving boundary problems on GPUs at SIAM CSE25, Fort Worth.
Selected publications
All publications →- 2026
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2026
Physics of Fluids, 38(5), 055134
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2024
Physics-Informed Neural Networks for Weakly Compressible Flows Using Galerkin-Boltzmann Formulation
Physics of Fluids, 36(11), 117125
Positions
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2026 – present
Research Scholar Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin
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2022 – present
Research Assistant Middle East Technical University
Education
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2023 – present
PhD, Mechanical Engineering Middle East Technical University · Advisors: Dr. Ali Karakus, Dr. Tim Warburton
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2020 – 2023
MSc, Mechanical Engineering Middle East Technical University · Advisors: Dr. Ali Karakus, Dr. Romit Maulik Thesis: Physics-Informed Neural Networks for Computational Fluid Dynamics
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2015 – 2020
BSc, Mechanical Engineering Middle East Technical University