Dr Michael Smith

Academic Fellow

Telephone: +44 (0) 114 222 1800

Member of the Machine Learning research group

ORCID | Google scholar




Dr Michael Smith studied Computer Science at Warwick university, then, after a few years outside academia, joined Edinburgh to take MScs in Informatics and Neuroinformatics and a PhD in computational neuroscience, looking at where self-motion cues are processed and integrating, in the human brain (using fMRI). After a bit of travelling he went to Kampala (Uganda) to lecture (in 2014) teaching AI to students at Makerere.

He is now a Research Fellow at the University of Sheffield in the department of Computer Science in the Machine Learning group. His work encompasses Differential Privacy and its applications to Gaussian process (GP) regression and classification, bounds on attacks to GP classifiers by adversarial examples, a kernel for regression over integrals and a method for tracking bees using retroreflective tags.

His work is in particular now focused on modelling air pollution in Kampala, using data from a network of low-cost sensors. He is currently investigating probabilistically handling the calibration of the sensors using mobile units. This system will soon be incorporated into a pipeline providing live predictions for policy makers and stakeholders in the city.


Research Interests

  • Machine Learning for Development
  • Machine learning and Air pollution
  • Calibration and multi-fidelity datasets
  • Gaussian Processes
  • Differential Privacy and Gaussian Processes
  • Tracking Bumblebee foraging behaviour