About

Lijuan Wang received her BEng degree in Computer Science and Technology from Qiqihar University, Heilongjiang, China in 2010 and her PhD degree in Measurement and Automation from North China Electric Power University (NCEPU), Beijing, China in 2014. She subsequently obtained a second PhD degree in Electronic Engineering from the University of Kent, Canterbury, UK in 2017. After that she worked at the University of Teesside as a Lecturer in Instrumentation and Control Engineering. Since June 2018 she has been a Lecturer in Electronic Engineering at the University of Kent.

She was awarded the Postgraduate National Scholarship in 2014 and Excellent PhD Thesis in 2015 by NCEPU, the Best Student Poster in 2014 I2MTC (International Instrumentation and Measurement Technology Conference), IEEE Graduate Fellowship by IEEE Instrumentation and Measurement Society in 2015 and Best Presentation Award in 2015 ISMTMF (International Symposium on Measurement Techniques for Multiphase Flows).

Her main areas of expertise include electrostatic sensing, multiphase flow measurement, condition monitoring of mechanical systems, sensors and instrumentation systems, data analysis and soft computing.

Research interests

Her research interests include electrostatic sensing, multiphase flow measurement, condition monitoring of mechanical systems, sensors and instrumentation systems, data analysis and soft computing.

Teaching

Current Teaching Commitments

  • EL305 Introduction to Electronics
  • EL315 Digital Technologies

Previous Teaching Commitments

  • Fundamentals of Mathematics

Supervision

PhD research topics

  •  Condition Monitoring of Wind Turbines through Multispectral Imaging
  • Vibration Measurement of Rotor-bearing Systems Using Electrostatic Sensors
  • Gas-solid Flow Measurement in Fluidized Beds through Multi-modal Sensing and Deep Learning
  • Molten Salt Metering in Solar Power Stations through Multi-modal Sensing and Data Modelling
  • CO2 Flow Metering under CCS Conditions Using Coriolis Mass Flowmeters and Soft Computing Techniques

Professional

Prizes and Awards

  • 2015 Best Presentation Award, International Symposium on Measurement Techniques For Multiphase Flows, Sapporo, Japan.
  • 2015 IEEE Graduate Fellowship Award, IEEE Instrumentation and Measurement Society.
  • 2014 Best Student Poster Award (1st Place), IEEE International Instrumentation and Measurement Technology Conference, Montevideo, Uruguay.
  • 2014 Student Travel Award, IEEE International Instrumentation and Measurement Technology Conference, Montevideo, Uruguay.
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