Imperial College London

Dr Chris Cantwell

Faculty of EngineeringDepartment of Aeronautics

Research Fellow
 
 
 
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Contact

 

+44 (0)20 7594 5123c.cantwell Website

 
 
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Location

 

Department of Aeronautics, Room 322City and Guilds BuildingSouth Kensington Campus

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Summary

 

Summary

Dr. Chris Cantwell’s research is highly interdisciplinary, bridging numerical modelling, signal processing, clinical data, medical imaging and basic laboratory science. His current area of interest is to use engineering techniques to address the biomedical challenges in clinical cardiac electrophysiology.

Chris Cantwell obtained a First Class honours degree in Mathematics at the University of Warwick in 2005. He subsequently completed an MSc and PhD in Scientific Computing at the University of Warwick's Centre for Scientific Computing, studying the transient growth of small disturbances to fluid flow in a linearly stable regime. He moved to Imperial College London to join Professor Spencer Sherwin’s group, initially developing high-order spectral/hp element methods, before being awarded a 3-year Advanced Training Award from the BHF with which he transitioned to address challenges in the understanding and treatment of atrial arrhythmias.

Publications

Journals

Roney CH, Cantwell CD, Bayer JD, et al., 2017, Spatial Resolution Requirements for Accurate Identification of Drivers of Atrial Fibrillation, Circulation-arrhythmia and Electrophysiology, Vol:10, ISSN:1941-3149

Roney CH, Cantwell CD, Qureshi NA, et al., 2017, Rotor Tracking Using Phase of Electrograms Recorded During Atrial Fibrillation, Annals of Biomedical Engineering, Vol:45, ISSN:0090-6964, Pages:910-923

Bolls A, Cantwell CD, Moxey D, et al., 2016, An adaptable parallel algorithm for the direct numerical simulation of incompressible turbulent flows using a Fourier spectral/hp element method and MPI virtual topologies, Computer Physics Communications, Vol:206, ISSN:0010-4655, Pages:17-25

Moxey D, Cantwell CD, Kirby RM, et al., 2016, Optimising the performance of the spectral/hp element method with collective linear algebra operations, Computer Methods in Applied Mechanics and Engineering, Vol:310, ISSN:0045-7825, Pages:628-645

Conference

Ali RL, Cantwell CD, Qureshi NA, et al., 2015, Automated fiducial point selection for reducing registration error in the co-localisation of left atrium electroanatomic and imaging data, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, Pages:1989-1992, ISSN:1557-170X

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