Georgios Rigas

Georgios Rigas is an Associate Professor in Fluid Mechanics at the Department of Aeronautics, Faculty of Engineering, Imperial College London. He holds a Ph.D. in Aeronautical Engineering from Imperial College (2015) and previously worked as a postdoctoral scholar at Caltech and the University of Cambridge. His research bridges fluid mechanics, AI, energy, and environment, focusing on digital modeling and optimization of fluid systems. He leads projects like 'AI for Net Zero' (UKRI-funded) and collaborates with organizations such as the US Airforce and ONERA. He is involved in policy initiatives through ADViCE (AI for Decarbonisation) and serves on the board of Physical Review Fluids.

Research Interests: Reinforcement learning for aerodynamic performance, turbulence modeling, hypersonic flows, data assimilation, and sustainable engineering. His work integrates machine learning with high-fidelity simulations to address challenges in aerospace and automotive industries.

Key Projects:

• AI for Net Zero (Lead PI)
• Stability and Control of High-Speed Flows (US Airforce/UK-FR MoD)
• Model Reduction with Machine Learning (IC-CNRS/ONERA)

Awards & Recognition: No explicit awards listed, but active in policy advisory and editorial roles.

Advising & Labs: Leads the Flow Control Group and Imperial Aero Wind Tunnel. Research focuses on lab-scale experiments and computational tools like the BROADCAST CFD toolbox.