DrChris Cantwell
Reader in Computational Engineering
Department of Aeronautics - Faculty of Engineering
Orcid identifier0000-0002-2448-3540
- Reader in Computational EngineeringDepartment of Aeronautics - Faculty of Engineering
- 020 7594 5050 (Work)
- Department of Aeronautics, Room 219, City and Guilds Building, South Kensington Campus, United Kingdom
BIO
Dr. Chris Cantwell is a Reader in Computational Engineering in the Department of Aeronautics at Imperial College London, United Kingdom. He received an MMath in Mathematics in 2005 and an MSc in Scientific Computing in 2006, from the University of Warwick. He received a PhD in Scientific Computing in 2009, also from the University of Warwick.
His research concerns developing scalable numerical approaches and high-performance software tools for efficiently modelling and understanding complex physical processes. This has focused on the efficient implementation and application of spectral/hp element methods for performing high-fidelity numerical simulation and exploring the potential synergy of numerical modelling with statistical methods and machine learning, such as graph neural networks. He is a strong proponent of open-source software and is a project leader of the Nektar++ spectral/hp element framework which acts as a vehicle for much of his research. These approaches are leveraged in various application areas, including aerodynamics, turbomachinery and nuclear fusion.
He also has research interests in the biomedical domain and is a member of the Imperial College Centre for Cardiac Engineering where he combines numerical modelling and signal processing with clinical data, medical imaging and basic laboratory science within the ElectroCardioMaths programme.
His research concerns developing scalable numerical approaches and high-performance software tools for efficiently modelling and understanding complex physical processes. This has focused on the efficient implementation and application of spectral/hp element methods for performing high-fidelity numerical simulation and exploring the potential synergy of numerical modelling with statistical methods and machine learning, such as graph neural networks. He is a strong proponent of open-source software and is a project leader of the Nektar++ spectral/hp element framework which acts as a vehicle for much of his research. These approaches are leveraged in various application areas, including aerodynamics, turbomachinery and nuclear fusion.
He also has research interests in the biomedical domain and is a member of the Imperial College Centre for Cardiac Engineering where he combines numerical modelling and signal processing with clinical data, medical imaging and basic laboratory science within the ElectroCardioMaths programme.
FACULTY
- Faculty of Engineering
POSITION NAME
- Reader in Computational Engineering