Dr Tianhai Tian - Researcher Profile

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.

Qualifications

DOCTOR OF PHILOSOPHY IN THE FIELD OF MATHEMATICS

Institution: University of Queensland

Year awarded: 2001

APPLIED MATHEMATICS

Institution: Huazhong University of Science and Technology

Year awarded: 1988

COMPUTATIONAL MATHEMATICS

Institution: Huazhong University of Science and Technology

Year awarded: 1982

Publications

Book Chapters

Wang, J., Tian, T., 2012, Effective non-linear methods for inferring genetic regulation from time-series microarray gene expression data, in Next Generation Microarray Bioinformatics, eds Junbai Wang, Aik Choon Tan and Tainhai Tian, Humana Press, New York USA, pp. 235-246.

Tian, T., 2011, Stochastic modeling of gene regulatory networks, in Applied statistics for network biology: Methods in systems biology, eds Matthias Dehmer, Frank Emmert-Streib, Armin Graber and Armindo Salvador, Wiley-Blackwell, Germany, pp. 13-37.

Burrage, K., Burrage, P., Hamilton, N., Tian, T., 2006, Compute-intensive simulations for cellular models, in Parallel computing for bioinformatics and computational biology: Models, enabling technologies, and case studies, eds Albert Y. Zomaya, Wiley, USA, pp. 79-119.

Journal Articles

Duff, C., Smith-Miles, K., Lopes, L., Tian, T., 2012, Mathematical modelling of stem cell differentiation: the PU.1-GATA-1 interaction, Journal Of Mathematical Biology [P], vol 64, issue 3, Springer, Germany, pp. 449-468.

Tian, T., Song, J., 2012, Mathematical modelling of the MAP kinase pathway using proteomic datasets, PLoS ONE [P], vol 7, issue 8, Public Library of Science, San Francisco USA, pp. 1-12.

Qiao, M., Qi, H., Liu, A., Tian, T., 2011, Analysis of stability and permanence for an HBV model with impulsive releasing immune factor, Chinese Journal of Contemporary Mathematics [P], vol 32, issue 2, Allerton Press Inc, USA, pp. 149-162.

Li, W., Luo, X., Hill, N., Ogden, R., Tian, T., Smythe, A., Majeed, A., Bird, N., 2011, Cross-bridge apparent rate constants of human gallbladder smooth muscle, Journal Of Muscle Research And Cell Motility [P], vol 32, issue 3, Springer, Netherlands, pp. 209-220.

Tian, T., Plowman, S., Parton, R., Kloog, Y., Hancock, J., 2010, Mathematical modeling of K-Ras nanocluster formation on the plasma membrane, Biophysical Journal [P], vol 99, issue 2, Cell Press, Cambridge USA, pp. 534-543.

Wang, J., Tian, T., 2010, Quantitative model for inferring dynamic regulation of the tumour suppressor gene p53, BMC Bioinformatics [P], vol 11, issue 36, BioMed Central Ltd, London England, pp. 1-12.

Qiao, M., Qi, H., Tian, T., 2010, Steady state solution and stability of an age-structured MSIQR epidemic model, Intelligent Information Management [P], vol 2, issue 5, Scientific Research Publishing Inc, USA, pp. 316-324.

Tian, T., 2010, Stochastic models for inferring genetic regulation from microarray gene expression data, Bio Systems [P], vol 99, issue 3, Elsevier Science Ltd, Oxford England, pp. 192-200.

Tian, T., Olson, S., Whitacre, J., Harding, A., 2010, The origins of cancer robustness and evolvability, Integrative Biology: Quantitative Biosciences from Nano to Macro [P], vol 3, issue 1, Royal Society of Chemistry, Cambridge England, pp. 17-30.

Tian, T., 2009, Effective stochastic simulation methods for chemical reaction systems, Journal of Numerical Mathematics and Stochastics [E], vol 1, issue 1, Euclidean Press LLC, Lebanon, pp. 85-101.

Shalom-Feuerstein, R., Plowman, S., Rotblat, B., Ariotti, N., Tian, T., Hancock, J., Kloog, Y., 2008, K-Ras nanoclustering is subverted by overexpression of the scaffold protein Galectin-3, Cancer Research [P], vol 68, American Association for Cancer Research, USA, pp. 6608-6616.

Tian, T., Harding, A., Inder, K., Plowman, S., Parton, R.G., Hancock, J.F., 2007, Plasma membrane nanoswitches generate high-fidelity Ras signal transduction, Nature Cell Biology [P], vol 9, issue 8, Nature Publishing Group London UK, London UK, pp. 905-914.

Tian, T., Xu, S., Gao, J., Burrage, K., 2007, Simulated maximum likelihood method for estimating kinetic rates in gene expression, Bioinformatics [P], vol 23, issue 1, Oxford University Press, Oxford UK, pp. 84-91.

Tian, T., Burrage, K., Burrage, P.M., Carletti, M., 2007, Stochastic delay differential equations for genetic regulatory networks, Journal of Computational and Applied Mathematics [P], vol 205, issue 2, Elsevier Science BV, Amsterdam Netherlands, pp. 696-707.

Tian, T., Burrage, K., 2006, An effective stepsize selection procedure for discrete simulation of biochemical reaction systems, ANZIAM Journal [P], vol 48, Cambridge University Press, UK, pp. C1022-C1040.

Barrio, M., Burrage, K., Leier, A., Tian, T., 2006, Oscillatory regulation of hes1: Discrete stochastic delay modelling and simulation, Plos Computational Biology [P], vol 2, issue 9, Public Library Science, San Francisco USA, pp. 1017-1030.

Tian, T., Burrage, K., 2006, Stochastic models for regulatory networks of the genetic toggle switch, Proceedings Of The National Academy Of Sciences Of The United States Of America [P], vol 103, issue 22, National Academy of Sciences, Washington DC USA, pp. 8372-8377.

Harding, A., Tian, T., Westbury, E., Frische, E., Hancock, J.F., 2005, Subcellular localization determines MAP kinase signal output, Current Biology [P], vol 15, issue 9, Cell Press, Cambridge USA, pp. 869-873.

Tian, T., Burrage, K., 2004, Binomial leap methods for simulating stochastic chemical kinetics, Journal Of Chemical Physics [P], vol 121, issue 21, American Institute of Physics, Melville USA, pp. 10356-10364.

Tian, T., Burrage, K., 2004, Bistability and switching in the lysis/lysogeny genetic regulatory network of bacteriophage lambda, Journal Of Theoretical Biology [P], vol 227, issue 2, Academic Press Ltd Elsevier Science Ltd, London UK, pp. 229-237.

Burrage, K., Tian, T., 2004, Implicit stochastic Runge-Kutta methods for stochastic differential equations, BIT (Copenhagen) [P], vol 44, issue 1, Kluwer Academic Publishers, Dordrecht Netherlands, pp. 21-39.

Conference Proceedings

Wu, Q.Q., Smith-Miles, K.A., Tian, T., 2012, A two-variable model for stochastic modelling of chemical events with multi-step reactions, Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 04 October 2012 to 07 October 2012, IEEE, Philadelphia USA, pp. 270-275.

Tian, T., Ge, X., 2012, Calibration of stochastic differential equation models using implicit numerical methods and particle swarm optimization, Proceedings of the 4th International Conference on Modelling, Identification and Control, 24 June 2012 to 26 June 2012, IEEE, USA, pp. 1105-1110.

Tian, T., 2011, Stochastic dynamics of a Hepatitis B virus transmission model, Proceedings of the 2011 IEEE International Symposium on IT in Medicine and Education, 9 December 2011 to 11 December 2011, IEEE Press, Beijing China, pp. 496-500.

Tian, T., 2011, Stochastic models for studying the degredation of mRNA molecules, Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine (BIBM2011), 12 November 2011 to 15 November 2011, IEEE Press, Los Alimos USA, pp. 167-172.

Tian, T., 2009, Estimation of kinetic rates of MAP kinase activation from experimental data, Proceedings 2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing (IJCBS), 03 August 2009 to 05 August 2009, IEEE Computer Society Publications, USA, pp. 457-462.

Burrage, K., Mac, S., Tian, T., 2006, Accelerated leap methods for simulating discrete stochastic chemical kinetics, 2nd Multidisciplinary International Symposium on Positive Systems (POSTA 2006), Springer-Verlag Berlin, Berlin Germany, pp. 359-366.

Tian, T., Burrage, K., 2005, A mathematical model for genetic regulation of the lactose operon, Computational Science and Its Applications ICCSA 2005, 9 May 2005 to 12 May 2005, Springer, Germany, pp. 1245-1253.

Tian, T., Burrage, K., 2005, Parallel implementation of stochastic simulation for large-scale cellular processes, Proceedings Eighth International Conference on High-Performance Computing in Asia-Pacific Region, 30 November 2005 to 3 December 2005, IEEE Institute of Electrical and Electronics Engineers Inc, Los Alamitos California USA, pp. 621-626.

Postgraduate Research Supervisions

Current Supervision

Program of Study:

(DOCTORATE BY RESEARCH).

Thesis Title:

Applications of Stochastic Processes to Evolution Theory.

Supervisors:

Tian, T (Main), Klebaner, F (Associate).

Program of Study:

(DOCTORATE BY RESEARCH).

Thesis Title:

Multi-scale stochastic modelling of genetic regulatory networks.

Supervisors:

Tian, T (Main), Smith-Miles, K (Associate).