Projects
Digital twins for multiphase flow systems
Integrating data, physics and machine learning to develop rapid predictive models for engineered multiphase flow systems
AI for control problems
Using a competition platform to accelerate progress in data-driven control problems
Optimising hypertension management strategies
Using smart algorithms to optimise treatment decisions in blood pressure management and reduce economic burden on healthcare providers
Safe AI for surgical assistance
Developing methods for assistive robots to learn correct actions from human experts, in the domain of surgical assistance in operating rooms
Events
Mathematics and data
Thursday 12 Sep 2019
Time: 10:00 - 18:00
Towards Autonomous Robotic Systems Conference (TAROS)
Wednesday 03 Jul 2019 - Friday 05 Jul 2019
Time: 09:00 - 18:00
The future of test & evaluation in defence: AI and autonomy
Wednesday 19 Jun 2019
Time: 10:00 - 17:30
Impact stories
Interest groups
People
Christopher Parsonson
Enrichment Student
Andrea Luppi
Enrichment Student
Scott Jeen
Enrichment Student
Elias Galiounas
Enrichment Student
Kate Highnam
Enrichment Student
Tom Bewley
Enrichment Student
Dr Matthew Deakin
Research Associate
Dr Nikolaos Nikitas
Data-Centric Engineering Group Leader