Professor Lisa Jackson PhD
Professor of Risk and Reliability
Lisa gained her PhD from Loughborough University in 2000 (Variable orderings for Binary Decision Diagrams) and became a post-doctoral researcher within the Mathematical Sciences department. She became a member of the academic staff in the Aeronautical and Automotive Engineering department in 2004, was promoted to Senior Lecturer in 2010 and then promoted to Chair in Risk and Reliability in 2018.
Outline of main research interests
My main interests lie in reliability of engineering systems, system safety and enhanced service provision.
Current research projects:
- Development and application of Reliability Methods for enhanced reliability performance.
- Automated reliability modelling techniques can provide the capability of more timely reliability assessment in the design stage, current research in this area focusses on automating the development of Petri Net models from industrial representations of the system design.
- Current research on application of methods focusses on improving the reliability performance of PEM fuel cells using the methods of fault trees, bond graphs and petri nets. In addition, enhanced reliability modelling applied to automated guided vehicles is being investigated.
- Fault diagnostics and prognosis.
- The application of traditional reliability methods to aid in the diagnosis of faults and future prognosis of component/system lifetime. Applications formerly to aircraft fuel systems, with current application to fuel cell system health monitoring using model based, data based and knowledge based methods.
- Service provision
- Optimisation of manufacturing processes throughout the lifecycle
- Enhanced emergency service provision through scheduling and dynamic positioning
- Risk assessment improved in the custodial process
- Improving healthcare in the home through embedded technologies
- Control and Reliability
- Low Carbon Technologies Group
Current research grant responsibilities
Lisa has been awarded research grants and contracts in the following areas:
- Principle Investigator (PI) for EPSRC Project titled: Robust Lifestyle Design and Health Monitoring for Fuel-Cell Extended Performance (RESILIENCE), EP/K02101X/1, £1M. This is a four year project investigating health monitoring in fuel cell systems, in collaboration with Nottingham University.
- PI for ESRC Project titled: Demand Modelling and Predictive Police Positioning for Effective Service Provision, ES/K002392/1, £252K. This project is investigating effective use of Officers to maximise availability for crime response.
- Co-Investigator (Co-I) for Project titled: Adaptive Informatics for Intelligent Manufacturing (AI2M), EP/K014137/1, £2M. This EPSRC funded project is investigating holistic lifecycle optimisation within the manufacturing process.
- Co-I for Project titled: CDT - Fuel cells and their fuels: Clean Power for the 21st Century, EP/L015749/1, £4.4M.
- Co-I for Project titled: Towards More Autonomy for Unmanned Vehicles: Situational Awareness and Decision Making under Uncertainty, EP/J011525/1, £1.2M
Current teaching responsibilities:
- TTA200 Risk Analysis
- TTB100 System Reliability Assessment
- TTD100 Advanced Reliability, Availability and Maintainability
- TTP210 Advanced Reliability, Availability and Maintainability
Current administrative responsibilities:
- Admissions Tutor for the Aeronautical and Automotive Undergraduate Courses
- University lead for the CDT in Fuel cells and their Fuels
Recent selected publications:
Recent work in the area fuel cells has focused on reliability and degradation modelling, using fault trees and petri nets, and health management, using data-driven, model-driven and knowledge-driven approaches
- Whiteley, M., Dunnett, S. J., & Jackson, L. (2015). Failure mode and effect analysis and fault tree analysis of polymer electrolyte membrane fuel cells. International Journal of Hydrogen Energy. doi:10.1016/j.ijhydene.2015.11.007
- Mao, L., Jackson, L., & Dunnett, S. (2017). Fault diagnosis of practical polymer electrolyte membrane (PEM) fuel cell system with data-driven approaches. Fuel Cells. doi:10.1002/fuce.201600139
- Mao, L., & Jackson, L. (2017). Selection of optimal sensors for predicting performance of polymer electrolyte membrane fuel cell. Journal of Power Sources.
- Davies, B., Jackson, L., & Dunnett, S. (2017). Expert diagnosis of polymer electrolyte fuel cells. International Journal of Hydrogen Energy. doi:10.1016/j.ijhydene.2017.02.121
In the area of Petri net modelling work has focused on application to automated guided vehicles and also in the development of an automation capability to facilitate reliability modelling.
- Rundong, Y., Jackson, L. M., & Dunnett, S. (2017). Automated guided vehicle mission reliability modelling using a combined Fault Tree and Petri net approach. International Journal of Advanced Manufacturing Technology. doi:10.1007/s00170-017-0175-7
- Latsou, C., Dunnett, S. J., & Jackson, L. M. (2017). Petri Net modelling for enhanced IT asset recycling solutions. In Proceedings of the European Safety and Reliability Conference, Slovenia, June 2017.
With the aim of embedded intelligence there is a drive to enhance service system provision through optimisation, research in this area has looked at development of novel hybrid techniques.
- Owa, K. O., jackson, L., & jackson, T. (2017). An Intelligent Novel Tripartite - (PSO-GA-SA) Optimization Strategy. International Journal of Metaheuristics. Retrieved from http://www.inderscience.com/index.php
Also minimising the risk of failing to meet demand in emergency services and their provision has been investigated with regards to scheduling and dynamic positioning of Police resources.
- Zhang, H., Jackson, L., Tako, A. A., & Liu, J. (2016). A Simulation of a Police Patrol Service System With Multi-Grade Time-Varying Incident Arrivals. In A. Anagnostou, K. Hoad, & M. Kunc (Eds.), https://www.theorsociety.com/Pages/Conferences/SW16/SW16.aspx (pp. 103-112). Stratford, Worcestershire: UK's Operational Research Society. Retrieved from https://www.theorsociety.com/Pages/Conferences/SW16/SW16.aspx
- Leigh, J. M., Jackson, L. M., & Dunnett, S. J. (2016). Police Officer Dynamic Positioning for Incident Response and Community Presence. In 5th International Conference on Operations Research and Enterprise Systems. rome.
- Leigh, J. M., Dunnett, S. J., & Jackson, L. M. (2016). Predictive Policing Using Hotspot Analysis. In The International MultiConference of Engineers and Computer Scientists 2016. Hong Kong.
Lisa has worked with a number of different companies across a variety of sectors, including the Ministry of Defence, Rolls Royce, BAE Systems, URENCO, Intelligent Energy and Leicestershire Constabulary. Current collaborators on research projects are:
- Rolls Royce Aero Engines - Product Introduction and External Supply Chain
- Leicestershire Constabulary
- Intelligent Energy
- East Midlands Custody
External roles and appointments
- PhD External examiner: Nottingham University, Edinburgh University, Herriot Watt University
- Reviewer for International journals, including: Reliability Engineering and System Safety (RESS), Quality and Reliability Engineering International (QREI), Fuel Cells, Journal of Power Sources.
- Editorial Board of the IMechE Journal of Risk and Reliability Engineering (Part O)
- External examiner – City University (MSc Project Management and Risk), Nottingham University (MSc Risk and Reliability Assessment)