Mimi Zhang joined TCD as an assistant professor in October 2017. She holds a B.Sc. in statistics from University of Science and Technology of China, and a Ph.D. in engineering management from City University of Hong Kong. Before joining TCD, she was a research associate at University of Strathclyde and Imperial College London. Her main research areas are data mining and operations research, including clustering, anomaly detection, tree-based methods, reliability, maintenance, etc. Visit Mimi’s profile page on the School of Computer Science and Statistics.
Prof Zhang is working on machine learning methods, with applications to engineering and manufacturing. Her PhD study and postdoctoral research was focused on industrial engineering, with topics including machine lifetime data analysis, machine degradation data analysis, maintenance action efficiency modelling and dynamic maintenance-resources allocation. Prof. Zhang is currently focused on statistics and data science, developing methods and algorithms to address industrial problems. One of her research topics is anomaly detection. With in-situ sensors collecting streaming data, real-time anomaly detection is an important and challenging problem.
Artificial Intelligence, Control Engineering, Data Analytics, Multi-variate Time Series Data Analysis, Process Monitoring and Control, Real-time Data Analytics, Reliability Analysis