Supervisor of Doctorate Candidates
Yong Yan is the Director and Lead Scientist of International Center for Carbon Neutralization at Hangzhou International Innovation Institute of Beihang University. He was a Professor of Electronic Instrumentation, Director of Research and Innovation, and Head of Instrumentation and Control Research Group at the School of Engineering, University of Kent, UK from June 2004 to June 2024. He gained the BEng, MEng and PhD degrees from Tsinghua University (1980-1988) and Teesside University in the UK (1989-1992), respectively. In recognition of his contributions to pulverised fuel flow metering ... More+
.Flame boundary measurement using an electrostatic sensor array:IEEE Transactions on Instrumentation and Measurement,2021,70
.Mass flowrate measurement of two-phase CO2 in a transient process using a gated recurrent unit neural network model:Chinese Journal of Scientific Instruments,2021,42(10):112-120
.Measurement of charge density in Methane fired diffusion and premixed flames using electrostatic probes:IEEE Sensors Journal,2021,21(22)
.Online dynamic prediction of potassium concentration in biomass fuels through flame spectroscopic analysis and recurrent neural network modelling:FUEL,2021,304
.Measurement of biomass moisture content distribution in a fluidised bed dryer through electrostatic sensing and digital imaging:Powder Technology,2021,388:380-392
.Flame imaging based online deep learning model for predicting NOx emissions from an oxy-biomass combustion process:IEEE Transactions on Instrumentation and Measurement,2021,71
.oughMeasurement of the moisture content in woodchips thr capacitive sensing and data driven modelling:Measurement,2021,186
.Mass flow rate measurement of pneumatically conveyed particles through acoustic emission detection and electrostatic sensing:IEEE Transactions on Instrumentation and Measurement,2021,70
.Harnessing the power of machine learning for carbon capture, utilisation, and storage (CCUS) – A state-of-the-art review:Energy & Environmental Science,2021,14:6122-6157
.Early detection of the wear of Coriolis flowmeters through in-situ stiffness diagnosis:IEEE Transactions on instrumentation and measurement,2021,70