Dr Eve Zhang

  • Reader in Intelligent Condition Monitoring
Publications
Google Scholar
headshot of Eve

Background:

Dr Yu (Eve) Zhang has been a Reader in Intelligent Condition Monitoring since 2024. She joined the Department of Aeronautical and Automotive Engineering at Loughborough University in 2019 as a Senior Lecturer in Digital Engineering. Prior to this, she held a range of academic positions in the School of Engineering at the University of Lincoln between 2011 and 2019. Her research focuses on condition monitoring, fault diagnosis, and the development of data analysis and machine learning techniques for industrial applications.

Qualifications:

  • FHEA: HEA (Higher Education Academy) Fellow, 2024
  • SMIEEE: IEEE (Engineering professional body) Senior Member, 2023
  • MIEEE: IEEE (Engineering professional body) Member, 2018
  • AFHEA: HEA (Higher Education Academy) Associate Fellow, 2015
  • PhD, Department of Civil Engineering, University of Nottingham, Nottingham, UK, 2011
  • MSc, Department of Civil Engineering, University of Nottingham, Nottingham, UK, 2005
  • BEng, School of Aerospace Engineering and Applied Mechanics, Tongji University, Shanghai, China, 2004

Key awards:

  • Patent, Analysis Method for a Gas Turbine (WO2019166214), 2019
  • EPSRC New Investigator Award, 2018
  • RAEng Academic Champion, 2016
  • Balfour Beatty Civil Engineering Prize, Nottingham, 2005
  • Gammon Skanska Scholarship Award, Hong Kong, 2002

Outline of main research interests: 

  • Condition Monitoring & Fault Diagnosis of Industrial Systems (e.g., composite structures, electric drives & gas turbines)
  • Data-driven & Grey-box Modelling (e.g., batteries & fuel cells)
  • Aerodynamic Design Optimisation (e.g., aeronautical & automotive)
  • Data Mining, Pattern Recognition & System Identification
  • Artificial Intelligence & Machine Hearing

Grants and contracts:

  • Stochastically Delaying Spiking Neuron, 2024, HEIF via Accelerator fund, CI.
  • Predictive Maintenance for Gas Turbines via Digital Twin and AI, 2024, KTP, with Uniper UK, Academic Lead.
  • Defect Detection in Die Casting Copper Motor Rotors for Electric Vehicles using Physics-Informed Neural Network, 2024, Royal Society International Exchanges, PI.
  • Intelligent Acoustic Emission System for Industrial Process Monitoring, 2023, HEIF via EPG, PI.
  • AI-powered Rail Asset Maintenance Predictor, 2022, Innovate UK via AKT2I, with Amygda Labs Ltd.
  • Towards Machine Hearing-based Online Monitoring and Optimisation for Laser Shock Peening of Metallic Materials, 2022, EPSRC DSMN+, PI.
  • Propulsion System Optimisation through Prediction and Machine Learning, 2020, APC ARMD, with Jaguar Land Rover.
  • Aerodynamic Design Acceleration through Machine Learning, 2019, APC via IDE, with McLaren Automotive, CI.
  • Evolutionary Virtual Expert System, 2018, EPSRC New Investigator Award.
  • Dynamic Modelling of Industrial Gas Turbines for Fault Diagnosis, 2016, 2017, 2018, Siemens Industrial Turbomachinery, PI.
  • Remote Condition Monitoring of Power Converters and Traction Drives for Railway Applications, 2017, Dynex Semiconductor, PI.
  • Intelligent Sensor System for Engine Test of Industrial Gas Turbines, 2017, KTP, with Siemens Industrial Turbomachinery, Academic Supervisor.
  • Gas Turbine Performance Diagnostics and Health Management, 2016, RAEng, Academic Champion.
  • Machinery Diagnostic System, 2016, Lincoln, Research and Teaching Equipment.
  • Research on Industrial Networks and Equipment Fault Diagnosis, International Cooperation Platform, 2016, Guangdong China, CI.
  • The Development of a Dynamic Energy Control System for Food Retailing Refrigeration Systems, 2015, 2016, Innovate UK, CI.

Current teaching responsibilities:

  • TTA915 Engineering Mechanics and Structures
  • TTB208 Structural Design Project
  • TTC201 Machine Intelligence
  • BEng, MEng, MSc Final Year Projects

Current administrative responsibilities:

  • DIS Placement Tutor
  • Personal Tutor

External collaborators:

  • Amygda Labs Ltd.
  • Dynex Semiconductor
  • Siemens Energy
  • Uniper UK
  • Queen Mary University of London
  • University of Leicester
  • University of Lincoln
  • University of Portsmouth

External roles and appointments:

  • Associate Editor, IEEE Transactions on Industrial Informatics
  • Associate Editor, IEEE Transactions on Instrumentation & Measurement
  • PhD External Examiner