Professor Lisa Jackson

PhD

  • Head of the Department of Aeronautical and Automotive Engineering
  • Professor of Risk and Reliability
Publications
ORCiD Google Scholar
Headshot of Lisa

Background

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.

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

Current research grant responsibilities

Lisa has been awarded research grants and contracts in the following areas:

  • Principal 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

Liu, T, Chen, B, Huang, W, Jackson, L, Mao, L, He, Q, Wu, Q (2023) Assessment of Tool Wear With Insufficient and Unbalanced Data Using Improved Conditional Generative Adversarial Net and High-Quality Optimization Algorithm, IEEE Transactions on Industrial Electronics, 70(11), pp.11670-11680, ISSN: 0278-0046. DOI: 10.1109/TIE.2022.3231300.

Yan, R, Dunnett, S, Jackson, L (2023) Impact of condition monitoring on the maintenance and economic viability of offshore wind turbines, Reliability Engineering & System Safety, 238, 109475, ISSN: 0951-8320. DOI: 10.1016/j.ress.2023.109475.

Liu, Z, Mao, L, Hu, Z, Huang, W, Wu, Q, Jackson, L (2022) A novel densely connected neural network for proton exchange membrane fuel cell fault diagnosis, International Journal of Hydrogen Energy, 47(94), pp.40041-40053, ISSN: 0360-3199. DOI: 10.1016/j.ijhydene.2022.09.158.

Liu, Z, Sun, Y, Mao, L, Zhang, H, Jackson, L, Wu, Q, Lu, S (2022) Efficient fault diagnosis of proton exchange membrane fuel cell using external magnetic field measurement, Energy Conversion and Management, 266, 115809, ISSN: 0196-8904. DOI: 10.1016/j.enconman.2022.115809.

Yan, RD, Dunnett, S, Jackson, L (2021) Model-based research for aiding decision-making during the design and operation of multi-load automated guided vehicle systems, Reliability Engineering and System Safety, 219, 108264, ISSN: 0951-8320. DOI: 10.1016/j.ress.2021.108264.

Mao, L, Liu, Z, Low, D, Pan, W, He, Q, Jackson, L, Wu, Q (2021) Evaluation method for feature selection in proton exchange membrane fuel cell fault diagnosis, IEEE Transactions on Industrial Electronics, 69(5), pp.5277-5286, ISSN: 0278-0046. DOI: 10.1109/TIE.2021.3078395.

Neal, A, Sharpe, R, Van-Lopik, K, Tribe, J, Goodall, P, Lugo-Sanudo, H, Segura-Velandia, D, Conway, P, Jackson, L, Jackson, T, West, A (2021) The potential of industry 4.0 cyber physical system to improve quality assurance: An automotive case study for wash monitoring of returnable transit items, CIRP Journal of Manufacturing Science and Technology, 32, pp.461-475, ISSN: 1755-5817. DOI: 10.1016/j.cirpj.2020.07.002.

He, K, Mao, L, Yu, J, Huang, W, He, Q, Jackson, L (2021) Long-term performance prediction of PEMFC based on LASSO-ESN, IEEE Transactions on Instrumentation and Measurement, 70, 3511611, ISSN: 0018-9456. DOI: 10.1109/TIM.2021.3058365.

Vasilyev, A, Andrews, J, Dunnett, S, Jackson, L (2021) Dynamic reliability assessment of PEM fuel cell systems, Reliability Engineering and System Safety, 210, 107539, ISSN: 0951-8320. DOI: 10.1016/j.ress.2021.107539.

Liu, Z, Pei, M, He, Q, Wu, Q, Jackson, L, Mao, L (2021) A novel method for polymer electrolyte membrane fuel cell fault diagnosis using 2D data, Journal of Power Sources, 482, ISSN: 0378-7753. DOI: 10.1016/j.jpowsour.2020.228894.

View publications in our central publications database

External Collaborators:

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)