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Personal profile

Research interests

Computational Biology, Computational Statistics, Multi-scale modelling of complex networks

Supervision interests

Mathematical modelling of genetic network and cell signalling pathway, mathematical modelling of financial and social networks; Statistical inference of complex networks;


TianhaiTian received his PhD in Computational Mathematics in 2001 from the University of Queensland in Australia. He was a Research Fellow at the same University after submitting his PhD thesis. He obtained the Australian Research Fellowship from the Australian Research Council (ARC) in 2006 and then studied computational biology at the Institute for Molecular Bioscience in Queensland. He joined the University of Glasgow in Scotland as a Lord Kelvin Fellow in 2007 and became a Reader in 2009. In 2011 he returned to Australia and now is an Associate Professor and ARC Future Fellow at the School of Mathematical Sciences, Monash University.

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Projects 2007 2017

Research Output 2000 2019

Asymptotic-numerical solvers for highly oscillatory second-order differential equations

Liu, Z., Tian, T. & Tian, H., 1 Mar 2019, In : Applied Numerical Mathematics. 137, p. 184-202 19 p.

Research output: Contribution to journalArticleResearchpeer-review

Online Identification of Nonlinear Stochastic Spatiotemporal System with Multiplicative Noise by Robust Optimal Control-Based Kernel Learning Method

Ning, H., Qing, G., Tian, T. & Jing, X., 1 Feb 2019, In : IEEE Transactions on Neural Networks and Learning Systems. 30, 2, p. 389-404 16 p., 8399841.

Research output: Contribution to journalArticleResearchpeer-review

SCOUT: A new algorithm for the inference of pseudo-time trajectory using single-cell data

Wei, J., Zhou, T., Zhang, X. & Tian, T., 1 Jun 2019, In : Computational Biology and Chemistry. 80, p. 111-120 10 p.

Research output: Contribution to journalArticleResearchpeer-review

The Cost-Effectiveness Analysis and Optimal Strategy of the Tobacco Control

Pang, L., Liu, S., Zhang, X. & Tian, T., 1 Jan 2019, In : Computational and Mathematical Methods in Medicine. 2019, 15 p., 8189270.

Research output: Contribution to journalArticleResearchpeer-review

Open Access

Development of stock correlation network models using maximum likelihood method and stock big data

Guo, X., Zhang, H., Jiang, F. & Tian, T., 25 May 2018, Proceedings: 2018 IEEE International Conference on Big Data and Smart Computing. IEEE, Institute of Electrical and Electronics Engineers, p. 455-461 7 p. 8367153

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

Press / Media