Imaging, Data and Communications

Institute for Imaging, Data and Communications (IDCoM) at the School of Engineering, University of Edinburgh

A doctor showing a patient something on a laptop with a hologram graphic demonstrating Artificial Intelligence AI in healthcare

Causal Artificial Intelligence (AI) is the key to unlocking robust, responsible, and trustworthy AI, and meeting challenges such as early prediction, diagnosis, and prevention of disease.

Full Job Title: 

Senior Lecturer in AI and Computer Vision for Health

Engineering Discipline: 

  • Electronics and Electrical Engineering

Research Institute: 

  • Imaging, Data and Communications

Email: 

Modern manufacturing involves highly controlled and automated processes meticulously designed to deliver products to specific needs within strict specifications and in a cost-efficient and sustainable way. Sensors capture continuous data streams about the state of the process, e.g., equipment and the product, to ensure performance in variable and often harsh conditions — however, the ability to analyse this data in real-time offers unique advantages currently out of reach. Learning to calibrate its operation from sensor data, monitor its health status and make accurate forecasts on product outcomes and maintenance requirements are process attributes of future autonomous factories.

Research Themes: 

  • Institute for Digital Communications Themes
  • Tomography

The ultimate ambition of the LITECS research programme is to reduce the environmental impact of aviation and industrial gas turbine engines by developing and deploying new measurement technologies to enhance the understanding and modelling of combustion and emissions generation processes and the role of alternative fuels.

Research Themes: 

  • Institute for Digital Communications Themes
  • Tomography
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