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
- 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
Control-based algorithms for high dimensional online learning
Ning, H., Zhang, J., Feng, T. T., Chu, E. K. W. & Tian, T., Feb 2020, In : Journal of the Franklin Institute. 357, 3, p. 1909-1942 34 p.Research output: Contribution to journal › Article › Research › peer-review
A clustering-based ensemble approach with improved pigeon-inspired optimization and extreme learning machine for air quality prediction
Jiang, F., He, J. & Tian, T., 2019, In : Applied Soft Computing Journal. 85, p. 1-14 14 p., 105827.Research output: Contribution to journal › Article › Research › peer-review
Approximate Bayesian Computational Methods for the Inference of Unknown Parameters
Ke, Y. & Tian, T., 14 Mar 2019, 2017 MATRIX Annals. Wood, D. R., de Gier, J., Praeger, C. E. & Tao, T. (eds.). Cham Switzerland: Springer, Vol. 2. p. 515-529 15 p. (MATRIX Book Series; vol. 2).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research
Open Access
File
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
Mathematical modeling and dynamic analysis of anti-tumor immune response
Pang, L., Liu, S., Zhang, X. & Tian, T., 1 Jan 2019, (Accepted/In press) In : Journal of Applied Mathematics and Computing.Research output: Contribution to journal › Article › Research › peer-review
Press / Media
Stochastic modelling of telomere length regulation in ageing research
22/10/12
1 item of Media coverage
Press/Media: Research