Rate My Professor Xun Xiao

Dr. Xiao's academic interests focus on data analytics in industrial and related areas, reliability and survival analysis, statistical quality control, statistical process control, and point process modeling. His research in industrial engineering employs mathematical, statistical, scientific, and engineering principles to model and optimize complex systems. As Principal Investigator of a 2024 Marsden Fund Fast-Start Grant, he advances statistical methods to address uncertainty in complex infrastructure asset networks. He has also contributed as co-investigator to three projects funded by the National Natural Science Foundation of China. With over 30 peer-reviewed journal articles in engineering, statistics, and energy, notable publications include "Physics-informed condition monitoring for wind turbines via change point detection under heteroscedasticity" (Reliability Engineering & System Safety, 2026), "Modeling frequent event recurrence in manufacturing logs with Markov-modulated renewal processes" (IEEE Transactions on Knowledge & Data Engineering, 2026), "Optimal maintenance planning for mission-oriented systems considering dynamic mission duration" (Naval Research Logistics, 2026), "TFTformer: A novel transformer based model for short-term load forecasting" (2025), and "An efficient calibration algorithm for multiscale geographically and temporally weighted regression" (International Journal of Geographical Information Science, 2026). His accomplishments are recognized by the New Zealand Statistical Association’s Worsley Early Career Award in 2023 and the University of Otago Early Career Award for Distinction in Research in 2025, which includes a $5,000 research grant.