Data Assimilation and Modelling Research Group

• July 2025 - Congratulations to Christian for passing his 18-month VIVA and to Ihab and Josh for passing their 9-month VIVAs! 

• May 2025 - Martina's first article "Effects of fetch length on turbulent boundary layer recovery after a step change in surface roughness" has been published in Journal of Fluid Mechanics. 

• Apr 2025 - Uttam, Christian and Josh presented at the 2nd ERCOFTAC Workshop on Machine Learning for Fluid Dynamics. 

• Feb 2025 - More congratulations are in order for Tom who successfully passed his final VIVA with minor corrections! His thesis is entitled "Resolvent-based models for nonlinear solutions and statistical estimation of turbulence." 

• Feb 2025 - Tom's first article "Resolvent-based optimisation of approximating the statistics of chaotic Lorenz system" was published in Physical Review E. 

• Jan 2025 - Craig's new article "Aeroelastic wing performance in high intensity turbulence: integral length scale effects" has appeared in AIAA Journal. 

• Nov 2024 - Congratulations to Martina for passing her 18-month VIVA!

• Sep 2024 - The group welcomes new PhD students Ihab Alkhaldi and Joshua Rawden. 

• Sep 2024 - Congrats to Christian for passing his 9-month VIVA! 

• Aug 2024 - A huge congratulations to Craig for passing his final VIVA! His thesis is entitled "A comprehension and prediction of wings in unsteady conditions." He has started his next adventure at Imperial College London.

• Jul 2024 - Congrats to Uttam for passing his 18-month VIVA!

• Jun 2024 - Craig and Uttam's article "The effect of variations in experimental and computational fidelity on data assimilation approaches" has been published in Theoretical and Computational Fluid Dynamics. 

• Apr 2024 - Craig and Uttam presented at the 3rd meeting of the UK Fluids Network's Flow instability, modelling and control SIG

• Mar 2024 - Martina and Christian attended the "Machine learning for fluid dynamics" ERCOFTAC workshop in Paris 

• For past announcements, please visit this page. 

Baseline RANS simulation of flow around a wake generator