Projects per year
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;
Biography
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.
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2007 2017
- 5 Finished
Stochastic modelling of telomere length regulation in ageing research
Australian Research Council (ARC), Monash University
3/01/12 → 30/10/17
Project: Research
Stochastic modelling of genetic regulatory networks with burst process
Australian Research Council (ARC), Monash University
2/05/11 → 28/02/16
Project: Other
Multiscale stochastic modelling of tumour robustness
Tian, T. & Harding, A.
Australian Research Council (ARC)
1/01/10 → 8/08/16
Project: Research
Spatio-temporal modelling of Ras dependent MAP kinase activation
Tian, T. & Hancock, J.
Australian Research Council (ARC)
2/01/07 → 31/12/11
Project: Research
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 journal › Article › Research › peer-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 journal › Article › Research › peer-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 journal › Article › Research › peer-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 journal › Article › Research › peer-review
Open Access
File
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. 8367153Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research
Press / Media
Stochastic modelling of telomere length regulation in ageing research
22/10/12
1 item of media coverage
Press/Media: Research