Scholarships and funding

This project aims to apply machine learning techniques to understand major cost/emission factors of vehicle routing subject to customer choices, so as to generate effective incentive schemes to schedule customer demands. It also aims to provide resolutions on the efficient usage of electric fleets in grocery delivery. 

Lead department: Department of Mathematical Sciences (in collaboration with the School of Computer Science and Electronic Engineering)

Closing date: 12 September 2019

This project is concerned with issues around data privacy in relation to the sharing of healthcare patient information/signal.

Lead department: School of Computer Science and Electronic Engineering (in collaboration with the School of Health and Social Care).

Closing date: 28 October 2019

The main motivation of this project is the need for an effective post-stroke rehabilitation system that provides provide 24/7 assistance to stroke survivors as well as healthcare providers at home or in hospital environments.

Lead department: School of Computer Science and Electronic Engineering (in collaboration with the School of Sport, Rehabilitation and Exercise Sciences).

Closing date: 28 October 2019