Dr Michael Smith
Telephone: +44 (0) 114 222 1800
Member of the Machine Learning research group
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.