Tiep Mai

Dublin, Ireland


  • PhD in Statistics from Trinity College, Dublin (2009-2013)
  • MSc in Computer Science from Sungkyunkwan University (2007-2009)


Tiep Mai has completed his PhD degree from Trinity College, Dublin in 2013. The work focuses on Bayesian inference with Markov chain Monte Carlo methods, and transportation applications such as short term traffic forecasting and incident detection. He is now working on sequential inference and parameter learning, streaming computation in distributed systems. 

Selected Articles and Publications

  1. Tiep Mai, Bidisha Ghosh, and Simon Wilson. Short term traffic flow forecasting with A-SVARMA. Proceedings of The Institution of Civil Engineers - Transport, 2013.
  2. Tiep Mai, Bidisha Ghosh, and Simon Wilson. Multivariate short term traffic flow forecasting using Bayesian vector autoregressive moving average model. In Transportation Research Board 91st Annual Meeting, pages 1–16, Washington DC, 2012.
  3. Tiep Mai, Bidisha Ghosh, and Simon Wilson. Short-term traffic flow forecasting using dynamic linear models. In Irish Transport Research Network, 2011.
  4. Khac Tiep Mai, Shin Dongkun, and Choo Hyunseung. Connectivity-based clustering with stretching technique in MANETs. In Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication, 2009.
  5. Khac Tiep Mai and Choo Hyunseung. Connectivity-based clustering scheme for mobile ad hoc networks. In IEEE International Conference on Research, Innovation and Vision for the Future in Computing & Communication Technologies, 2008.
  6. Nam Thoai, Dang Khoa Tran, Khac Tiep Mai, and Thi Thuy Truong. Supernode II: a grid node in EDAGrid. In International Workshop on Advanced Computing and Applications, 2007.