Scholar
Georgios Rigas
Google Scholar ID: fVoAkr4AAAAJ
Imperial College London
Citations & Impact
Citations
2,123
H-index
23
i10-index
37
Publications
20
Co-authors
14
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Publications: Viewable on Google Scholar and ResearchGate. Awards and Projects: AI for Net Zero (funded by UKRI); Stability and Control of High-Speed Flows (US Airforce, UK-FR MoD); Model design and model reduction using machine learning techniques (IC-CNRS & ONERA).
Research Experience
- Work Experience: Postdoctoral scholar at California Institute of Technology (Caltech) and the University of Cambridge. Currently, Associate Professor in the Department of Aeronautics at Imperial College London. Research Projects: AI for Net Zero (UKRI EP/Y005619/1; lead PI); Stability and Control of High-Speed Flows (US Airforce, UK-FR MoD; PI, Qinetiq); Model design and model reduction using machine learning techniques (IC-CNRS & ONERA, lead PI).
Education
- Degree: Ph.D.; School: Imperial College London; Year: 2015; Major: Aeronautical Engineering.
Background
- Research Interests: Intersection of fluid mechanics, artificial intelligence, energy, and environment. Professional Field: Digital modeling and optimization to increase the energy efficiency of fluid-based systems. Bio: Associate Professor in the Department of Aeronautics at Imperial College London, focused on developing and implementing reinforcement learning algorithms to enhance aerodynamic performance in state-of-the-art wind-tunnel environments.
Miscellany
- Personal Interests: Actively involved in evidence-based policymaking. Contributions: Member of the AI for Decarbonisation’s Virtual Centre of Excellence (ADViCE), supporting the Department for Energy Security and Net Zero’s (DESNZ) Net Zero Innovation Portfolio. Other: Early Career Board Member for Physical Review Fluids.
