Dr Xiang Xie is a Research Associate in DIAL, who is conducting researches related to the Digital Twins project.
He obtained his PhD degree from Zhejiang University in 2018. During his PhD study, he focused on providing an accurate assessment, awareness and identification for anomalies in water distribution systems using data-driven monitoring techniques. Specifically, with the help of affordable sensing and communication equipment, system-wide smart metering is implemented to collect heterogeneous data from different sources and operational information is mined using machine learning techniques to intelligentize the urban water supply infrastructure.
Prior to this, he received his Bachelor's degree in Control Engineering from Huazhong University of Science and Technology in 2013.
His research interests include: machine learning, data mining and the implementation of IoT technique in condition monitoring.