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

• 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.