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Chang Wei Tan

Research Fellow @ Monash University

I am a Research Fellow at the Faculty of Information Technology, Monash University. My research focuses on machine learning and time series analysis.

I completed my PhD at the Faculty of Information Technology, Monash University, under the supervision of Professor Geoff Webb, Dr François Petitjean and Dr Paul Reichl. My thesis titled “Time series classification at scale” focused on Scalable Time Series Classification, where I develop faster algorithms to handle large time series datasets. I have also applied time series analysis to improve railway track maintenance in collaboration with the Institute of Railway Technology at Monash University.

Research Interest

Machine Learning
Time Series Classification
Big Data Analytics
Data Mining
Railway Engineering
Wireless Sensor Network

Selected Publications

  1. C. Tan, G. Webb, F. Petitjean and P. Reichl, “Machine learning approaches for tamping effectiveness prediction”, in 11th International Heavy Haul Association Conference (IHHA), IHHA, 2017 
  2. C. Tan, M. Herrmann, G. Forestier, G. Webb, and F. Petitjean, “Efficient search of the best warping window for Dynamic Time Warping” in 2018 SIAM International Conference on Data Mining (SDM18), SIAM, 2018. Best Research Paper Award