Publications

Omid Bidar, Marco Colombo (2025). Assessment of Heat Flux Partitioning Approaches for the Prediction of Subcooled Flow Boiling. Proceedings of 21st International Topical Meeting on Nuclear Reactor Thermal Hydraulics.

Omid Bidar, Sean R Anderson, Ning Qin (2024). A Hybrid RANS-LES Dataset for Data-Driven Turbulent Mean Flow Reconstruction. Springer Nature Switzerland.

Omid Bidar (2024). PhD Thesis: Data-driven Augmentation of Turbulence Models for Complex Fluid Flows.

Omid Bidar, Sean R Anderson, Ning Qin (2024). Sensor placement for data assimilation of turbulence models using eigenspace perturbations. Physics of Fluids, AIP Publishing.

Omid Bidar, Ping He, Sean R Anderson, Ning Qin (2024). Aerodynamic Shape Optimisation Using a Machine Learning-Augmented Turbulence Model. American Institute of Aeronautics and Astronautics.

Omid Bidar, Sean R Anderson, Ning Qin (2024). A Priori Sensor Placement Strategy for Turbulent Mean Flow Reconstruction Using Parametric Model Perturbations. American Institute of Aeronautics and Astronautics.

Omid Bidar, Ping He, Sean R Anderson, Ning Qin (2022). Turbulent Mean Flow Reconstruction Based on Sparse Multi-sensor Data and Adjoint-based Field Inversion. American Institute of Aeronautics and Astronautics.

Omid Bidar, Ping He, Sean R Anderson, Ning Qin (2022). An open-source adjoint-based field inversion tool for data-driven RANS modelling. American Institute of Aeronautics and Astronautics.

Omid Bidar (2020). MEng Thesis: Towards statistical inference to improve turbulence RANS closures for multi-element aerofoils.

Omid Bidar (2019). Aerodynamics and Control Aspects of Formation Flight for Induced Drag Savings.