These scholarships will cover full-time PhD tuition fees for three years (subject to satisfactory academic performance) and will provide a £900 per annum research training support grant (RTSG) to help support the PhD researcher.
Applicants who already hold a doctoral degree or who have been registered on a programme of research leading to the award of a doctoral degree on a full-time basis for more than one year (or part-time equivalent) are NOT eligible to apply for an award.
The scholarship will cover tuition fees at the Home rate and a maintenance allowance of £19,000 (tbc) per annum for three years (subject to satisfactory academic performance).
This scholarship also comes with £900 per annum for three years as a research training support grant (RTSG) allocation to help support the PhD researcher.
Tariq, Z., Khan, N., Charles, D., McClean, S., McChesney, I. and Taylor, P., 2020. Understanding contrail business processes through hierarchical clustering: A multi-stage framework. Algorithms, 13(10), p.244.
Tariq, Z., Charles, D., McClean, S., McChesney, I. and Taylor, P., 2021, August. An Event-Level Clustering Framework for Process Mining Using Common Sequential Rules. In International Conference for Emerging Technologies in Computing (pp. 147-160).
Springer, Cham. Shuai Zhang, Sally I. McClean, Bryan W. Scotney (2012): Probabilistic Learning From Incomplete Data for Recognition of Activities of Daily Living in Smart Homes, IEEE Transactions on Information Technology in Biomedicine, 16(3): 454-462.
Zhang, S., McClean, S.I., Scotney, B.W., Hong, X., Nugent, C.D., & Mulvenna, M.D. (2010). An Intervention Mechanism for Assistive Living in Smart Homes. Journal of Ambient Intelligence and Smart Environments (Smart Home Thematic Issue), Volume 2, Issue 3, pp. 233-252.
Munoz-Gama, J., Martin, N., Fernandez-Llatas, C., Johnson, O.A., Sepúlveda, M., Helm, E., Galvez-Yanjari, V., Rojas, E., Martinez-Millana, A., Aloini, D. and Amantea, I.A., 2022. Process mining for healthcare: Characteristics and challenges. Journal of Biomedical Informatics, 127, p.103994.
L Yang, S McClean, M Donnelly, K Burke, K Khan (2022). A multi-components approach to monitoring process structure and customer behaviour concept drift. Expert Systems with Applications.