Education
Courses
2024/2025
2023/2024
2022/2023
2021/2022
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Test, Analysis & Simulation | AE2223-I
2020/2021
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Test, Analysis & Simulation | AE2223-I
2019/2020
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Test, Analysis & Simulation | AE2223-I
Resources
For MSc thesis projects at the AIFluids lab, see the “MSc AE Profile Aerodynamics” page on Brightpage or take contact with our lab by sending an email.
Master projects
Ongoing
- Data-driven turbulence modelling for magneto hydrodynamics, Anh Khoa Doan, Alejandro Montoya (2023/2024)
- Knowledge-based, deep learning and hybrid reduced order modelling of chaotic systems, Anh Khoa Doan, Jochem Veerman (2022/2023)
- AI-based identification of large scale structures in turbulence, Anh Khoa Doan, Austin Ramanna (2022/2023)
- Neural Networks for Aerodynamic Modelling, Anh Khoa Doan, Vincent Maes (2022/2023)
- Data-driven techniques for flashback detection and suppression in reheat hydrogen combustion, Anh Khoa Doan, Mihnea Floris (2022/2023)
- Velocity reconstruction of turbulent pool fires using physics-informed neural networks, Anh Khoa Doan, Pablo Gonzalez (2022/2023)
- Delay of laminar-to-turbulent transition via reinforcement learning, Anh Khoa Doan, Babak Mohammadikalakoo (2021/2022)
- AI-driven design of porous surfaces for noise reduction, Anh Khoa Doan, Thomas Hunter (2021/2022)
- AI-driven nonlinear turbulence models, Davide Modesti, Ruiying Xu (2021/2022)
- AI-driven turbulence models for flows in wind farms, Davide Modesti, Kherlen Jigjid (2021/2022)
Finished
- Machine learning-based identification of precursors of extreme events in chaotic, Anh Khoa Doan, Urszula Golyscka (2022/2023)
- Data-Driven URANS Closure with Sparse Regression, Anh Khoa Doan, Nicolo Miori (2022/2023)
- Physical Reconstruction in Pool Fire with Deep Learning, Anh Khoa Doan, Dirk de Boer (2022/2023)
- Generalizing Simulation Surrogates with Physical Information and Transfer Learning, Anh Khoa Doan, Tadeusz Kaniewski (2022/2023)
- Turbulent flows learning with deep learning, Anh Khoa Doan, Rohan Kaushik (2022/2023)
- Physics-informed neural networks for highly compressible flows, Anh Khoa Doan, Thomas Wagenaar (2022/2023)
- Physics-Informed Neural Networks for Fluid Mechanics, Anh Khoa Doan, Dobbin Huang (2021/2022)