Dr Omid Bidar
School of Mechanical, Aerospace and Civil Engineering
Research Associate in Computational Modelling of Boiling Heat Transfer
Full contact details
School of Mechanical, Aerospace and Civil Engineering
Sir Frederick Mappin Building
Mappin Street
ºù«Ӱҵ
S1 3JD
- Profile
-
I am a research associate in the Thermofluids group. My research focuses on computational modelling of boiling heat transfer in nuclear reactors.
I hold an MEng in Aerospace Engineering from the University of ºù«Ӱҵ, graduating with first-class honours, and also studied at the Aerospace Department at the University of Michigan, USA, as part of a Global Engineering Exchange program. I recently completed my PhD at the University of ºù«Ӱҵ in data-driven turbulence modelling. My PhD research focused on combining Computational Fluid Dynamics (CFD) with machine learning techniques to enhance turbulence models, particularly for improving the prediction accuracy of complex aerodynamic flows.
- Research interests
-
- Computational fluid dynamics
- Turbulence Modelling
- Data assimilation
- Machine Learning
- Engineering Design Optimisation
- Modelling of multiphase flows
- Publications
-
Journal articles
- . Physics of Fluids, 36, 015144.
Chapters
- , Proceedings of the Cambridge Unsteady Flow Symposium 2024 (pp. 121-133). Springer Nature Switzerland
Conference proceedings papers
- . AIAA SCITECH 2024 Forum. Orlando, FL, USA, 8 January 2024 - 8 January 2024.
- . AIAA SCITECH 2024 Forum. Orlando, FL, USA, 8 January 2024 - 8 January 2024.
- . AIAA AVIATION 2022 Forum. Chicago, IL, USA (and online), 27 June 2022 - 27 June 2022.
- . AIAA AVIATION 2022 Forum(2022). Chicago, IL, USA (and online), 27 June 2022 - 27 June 2022.
Reports
Theses / Dissertations
- Data-driven Augmentation of Turbulence Models for Complex Fluid Flows.
- Towards statistical inference to improve turbulence RANS closures for multi-element aerofoils.
- . Physics of Fluids, 36, 015144.
Links