糖心视频

Publications

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BaYSM - Bayesian Young Statisticians Meeting (2026)

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Financial Regulation Innovation Lab White Paper Series Financial Regulation Innovation Lab White Paper Series (2025)

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Fifth Annual Conference on Disruptive, Innovative, and Emerging Technologies in the Nuclear Industry (2024)

Xiao Xun, Ye Zhisheng,

Journal of the Royal Statistical Society: Series C Vol 73, pp. 1155-1184 (2024)

Zhai Qingqing, Ye Zhisheng, Li Cheng, , Dunson David B

Journal of the American Statistical Association Vol 120, pp. 251-265 (2024)

Brown Bodunrin, , ,

Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability Vol 237, pp. 654-670 (2023)

Teaching

My teaching portfolio focuses on teaching risk management and decision making tools to postgraduate or postexperience students. For example, I regularly contribute to the MBA Analytical Support for Decision Making module, with experience teaching in Switerland, Dubai, Abu Dhabi, Bahrain and Madrid. I teach Risk Analysis and Management to Engineering postgraduate students and Management Science methods to the Wind Energy Centre for Doctoral Training students. I also teach on industry facing courses with SSE and Ibderdrola.听

Research Interests

My research interests focus on modifying and applying Management Science methods to solve industrial problems.听

My main area of research is in Reliability, Availability and Maintainability (RAM) modelling. To date, I have developed tools for modelling reliability during procurement, diagnostic and prognostic modelling, maintenance scheduling and degradation modelling.

I am also interested in using both statistical and machine learning models to analyse complex datasets. Examples of work to date include prognostic modelling of offshore SCADA data from wind turbines, forecasting offshore wind speeds and wave heights, and modelling performance of athletes. 听

I have a broad interest in a wide range of mathematical models to support decision making. For example, I am interested in developing methods for modelling and assessing dependencies between uncertain quantities for use in decision models and have developed models using techniques such as Bayesian Networks and Bayes linear. I have used discrete event simulation to model maintenance schedules and logistic operations. I also have interest in optimisation models such as multi-objective optimisation and rolling optimisation.

Future areas of study will focus on big data and reliability, degradation and maintenance, load sharing, asset management and residual life.听

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Professional Activities

Participant

23/6/2023

Peer reviewer

2018

Speaker

1/2/2017

Organiser

25/9/2016

Organiser

2016

Guest editor

1/10/2015

Projects

Hart, Edward John (Principal Investigator) Revie, Matthew (Co-investigator)

14-Jan-2025 - 13-Jan-2025

Revie, Matthew (Principal Investigator) Brown, Blair David (Co-investigator) Smith, Marisa (Co-investigator)

01-Jan-2025 - 31-Jan-2026

Quigley, John (Principal Investigator) Bedford, Tim (Co-investigator) Revie, Matthew (Co-investigator) Walls, Lesley (Co-investigator)

02-Jan-2025 - 31-Jan-2025

Fitzpatrick, Stephen (Principal Investigator) MacBryde, Jillian (Co-investigator) MacLeod, Charles Norman (Co-investigator) Pierce, Gareth (Co-investigator) Revie, Matthew (Co-investigator) Walls, Lesley (Co-investigator) Wynne, Bradley (Co-investigator) Hernandez, Jose Luis (Research Co-investigator) Liu, Zhe (Research Co-investigator) Reimer, Andreas (Research Co-investigator)

01-Jan-2024 - 30-Jan-2028

Quigley, John (Principal Investigator) Liu, Bin (Co-investigator) Revie, Matthew (Co-investigator) Walls, Lesley (Co-investigator)

15-Jan-2024 - 15-Jan-2026

Liu, Bin (Principal Investigator) Revie, Matthew (Co-investigator)

ESRC funding via SGSSS: ES/P000681/1
ESRC: 拢59,228
UoS: 拢31,892

02-Jan-2023 - 31-Jan-2027