Omid Bidar
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  • Publications
    • Assessment of Heat Flux Partitioning Approaches for the Prediction of Subcooled Flow Boiling
    • A Hybrid RANS-LES Dataset for Data-Driven Turbulent Mean Flow Reconstruction
    • PhD Thesis: Data-driven Augmentation of Turbulence Models for Complex Fluid Flows
    • Sensor placement for data assimilation of turbulence models using eigenspace perturbations
    • A Priori Sensor Placement Strategy for Turbulent Mean Flow Reconstruction Using Parametric Model Perturbations
    • Aerodynamic Shape Optimisation Using a Machine Learning-Augmented Turbulence Model
    • An open-source adjoint-based field inversion tool for data-driven RANS modelling
    • Turbulent Mean Flow Reconstruction Based on Sparse Multi-sensor Data and Adjoint-based Field Inversion
    • MEng Thesis: Towards statistical inference to improve turbulence RANS closures for multi-element aerofoils
    • Aerodynamics and Control Aspects of Formation Flight for Induced Drag Savings
  • Talks
    • 2025 Annual Technical Meeting of CCP-NTH
    • 2024 DAFoam Workshop
    • 2023 UK Fluids Conference, Glasgow
    • Data Driven Methods in Fluid Mechanics Workshop
    • Outreach: Tapton Seminar Series
    • 2022 UK Fluids Conference, Sheffield
  • Projects
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Outreach: Tapton Seminar Series

Jan 10, 2023·
Omid Bidar
Omid Bidar
· 0 min read
Slides
Last updated on Jan 10, 2023
Outreach
Omid Bidar
Authors
Omid Bidar
Postdoctoral Research Associate
← Data Driven Methods in Fluid Mechanics Workshop Mar 30, 2023
2022 UK Fluids Conference, Sheffield Sep 6, 2022 →

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