Xiu is a first-year postdoctoral researcher at Curtin University in the area of minerals and resources with the application of AI and/or machine learning technologies. Her current research interests include but not limited to: data-driven and machine learning approaches in process monitoring and fault diagnosis, learning from data to facilitate decision-making, development of novel model for elemental mercury and its removal from methane-rich gas, characterization of nano porous materials with more sophisticated models, interdisciplinary research, etc.
Xiu just obtained her PhD degree in Chemical Engineering at Curtin University in Feb, 2021, and the thesis title is “Fundamental Study of Gas Adsorption in Porous Materials with More Realistic Models” which was awarded 2020 Chancellor’s Commendation for Research Excellence (Top 10%). In 2013, She got her Bachelor degree in Mineral Processing Engineering at China University of Mining and Technology, Beijing. From 2013 to 2016, she worked as a research assistant at the Institute of Processing Engineering, Chinese Academy of Sciences.
Xiu has over 7 years’ experience in computer modelling and analysis. She has a strong background in programming languages, and solid skills in mathematics, statistics and data visualization. She is also the first- and/or co- author of several high-quality journal papers.