Summary
BIOGRAPHY
2020 - present:
Visiting researcher, Imperial College London, UK
2015 - 2020:
Research Associate, Imperial College London, UK
2011 - 2015:
PhD, Imperial College, London, UK
Thesis title: Use of X-ray Computed Microtomography to Measure the Leaching Behaviour of Metal Sulphide Ores
2007 - 2011: BEng (Hons, 1st), University of Nottingham, UK
Research interests
My current research focuses on flow visualization and quantification using advanced imaging techniques, including X-ray Tomography, Neutron Source Tomography and Positron Emission Particle Tracking (PEPT), to characterize materials structure and its interaction with fluids (e.g. wettability and capillary pressure), behavior/performance in operando, as well as the time evolution of various engineering processes under in-situ conditions. My research has applications in subsurface hydrology, water resource management, geological carbon storage, reactive flow and contaminant transport, as well as in the analysis of electrochemical devices and catalysts.
Selected Publications
Journal Articles
Gao Y, Lin Q, Bijeljic B, et al., 2017, X-ray Microtomography of Intermittency in Multiphase Flow at Steady State Using a Differential Imaging Method, Water Resources Research, Vol:53, ISSN:0043-1397, Pages:10274-10292
Al-Khulaifi Y, Lin Q, Blunt MJ, et al., 2017, Reaction Rates in Chemically Heterogeneous Rock: Coupled Impact of Structure and Flow Properties Studied by X-ray Microtomography, Environmental Science & Technology, Vol:51, ISSN:0013-936X, Pages:4108-4116
Lin Q, Al-Khulaifi Y, Blunt M, et al., 2016, Quantification of sub-resolution porosity in carbonate rocks by applying high-salinity contrast brine using X-ray microtomography differential imaging, Advances in Water Resources, Vol:96, ISSN:0309-1708, Pages:306-322
Saif T, Lin Q, Singh K, et al., 2016, Dynamic imaging of oil shale pyrolysis using synchrotron X-ray microtomography, Geophysical Research Letters, Vol:43, ISSN:0094-8276, Pages:6799-6807
Lin Q, Neethling SJ, Dobson KJ, et al., 2015, Quantifying and minimising systematic and random errors in X-ray micro-tomography based volume measurements, Computers & Geosciences, Vol:77, ISSN:0098-3004, Pages:1-7