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Researcher Details
 
Name: Professor AW Darzi
Organisation: Imperial College London
Department: Dept of Surgery and Cancer
Current EPSRC-Supported Research Topics:
Artificial Intelligence Complexity Science
Mathematical Aspects of OR Non-linear Systems Mathematics
Robotics & Autonomy Statistics & Appl. Probability

Current EPSRC Support
EP/S023283/1 UKRI Centre for Doctoral Training in Artificial Intelligence for Healthcare(C)
EP/P029558/1 ROAD2H: Resource Optimisation, Argumentation, Decision Support and Knowledge Transfer to Create Value via Learning Health Systems(P)
EP/P012779/1 Micro-Robotics for Surgery(C)
EP/N014529/1 EPSRC Centre for Mathematics of Precision Healthcare(C)
Previous EPSRC Support
EP/N027132/1 EPSRC-NIHR HTC Partnership Award Plus Funds: Technology Network-Plus on Devices for Surgery and Rehabilitation(C)
EP/M000257/1 EPSRC-NIHR HTC Partnership Award: Technology Network on Devices for Surgery and Rehabilitation(C)
EP/L023814/1 Quantified-self for obesity: Physical activity behaviour sensing to improve health outcomes from surgery for severe obesity(P)
EP/L014149/1 Smart Sensing for Surgery(C)
EP/K012673/1 Liberating housebound obese individuals using augmented virtual reality(P)
EP/I027769/1 SMART-Endomicroscopy (Sensing and Mechatronically Assisted Real-Time Endomicroscopy)(C)
DT/F003064/1 RT-ISIS: Real-Time In Situ In vivo Surgical Sensing and Imaging(C)
DT/E011101/1 Robotic Assisted Surgical Guidance and Visualisation(C)
EP/D057213/1 Perceptual Docking for Robotic Control (Equipment Rich Proposal)(C)
EP/C547586/1 BiosensorNet: Autonomic Biosensor Networks for Pervasive Healthcare(C)
GR/R56822/01 Vis-a-Ve: Visual Augmentation for Virtual Environments in Surgical Training(R)
GR/R41033/01 Deformable Models with Realistic Force Feedback for Quantative Assessment of Surgical Skills.(C)
Key: (P)=Principal Investigator, (C)=Co-Investigator, (R)=Researcher Co-Investigator