PhD, 2015 - present, Institute of Service Science, National Tsing Hua University, Taiwan (R.O.C)
MSc (Statistics), 2008-2011, Isfahan University of Technology, Iran.
BSc (Statistics), 2002-2006, Isfahan University of Technology, Iran.
PhD thesis: Clustering and forecasting large collections of time series
Master thesis: Bayesian inference for non-Gaussian Ornstein-Uhlenbeck stochastic volatility processes
Time series analysis and time series clustering
Data mining and predictive analytics
Big data analysis
Journal and Conference Papers
Tree-based methods for clustering time series using domain-relevant attributes, Journal of Business Analytics (Taylor \& Francis Online), Vol. 2, NO. 1, July 2019, pp. 1–23.
Assessing the value of an information system for developing predictive analytics: the case of forecasting school-level demand in Taiwan, Journal of Service Science (INFORMS), Vol. 10, No. 1, March 2018, pp. 1-18.
Clustering time series by domain-relevant features using model-based trees, Data Science, Statistics and Visualization (DSSV), 9-11 July 2018, Vienna, Austria.
Interpretable clustering of a large collection of time series using model-based trees, The 6th Summer Workshop on Information Management (TSWIM), 20-22 June 2018, Hsinchu, Taiwan.
A new tree-based method for clustering time series using domain-relevant attributes, INFORMS International Conference, 17-20 June 2018, Taipei, Taiwan.
How many first grade classrooms next year? Forecasting School-Level Demand in Taiwan, INFORMS International Conference, 17-20 June 2018, Taipei, Taiwan.
A new tree-Based method for clustering time series, SCECR Conference, 26-28 June 2017, Ho Chi Minh, Vietnam.
Using centered and non-centered algorithms for simulating SP share index data, CIAS, 2nd January 2012, Indian Statistical Institute, India.
Fast forecast reconciliation using linear models, Working Paper 29/19, Department of Econometrics & Business Statistics, Monash University.