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Dr Fuchun Huang

PhD (The Graduate University for Advanced Studies (“Sokendai”), Japan)

Senior Lecturer, College of Engineering & Science

Dr Fuchun Huang is a senior lecturer in the College of Engineering & Science at Victoria University, Melbourne, Australia. His research interests include computational statistics, statistical modelling and applications.

He has published papers on computational statistics, Monte Carlo methods, pseudo-likelihood and generalised pseudo-likelihood methods, and developed solver software for solving smooth and non-smooth optimisation problems. He is a member of The Japan Statistical Society.

Recent publications

Refereed journal articles

Huang, F. (2012) A New Application Programming Interface And A Fortran-like Modeling Language For Evaluating Functions and Specifying Optimization Problems At Runtime, International Journal of Advanced Computer Science and Applications, vol. 3, issue 4, pp. 1-5.

Huang, F. and Ogata, Y. (2002) A generalized pseudo-likelihood estimate for Markov random fields on lattice, Annals of the Institute of Statistical Mathematics 54, 1-18.

Books

Huang, F. (2013) Challenging and Interesting Probability Problems for High School and University Students and Teachers with Solutions: Set 2, Apple Publishing Group.

Conference presentations

Sachindra, D.A., Huang, F., Barton, A. and Perera, B.J.C. (2011) Statistical Downscaling of General Circulation Model Outputs to Catchment Streamflows, 19th International Congress on Modelling and Simulation, Perth, Australia, 12–16 December 2011, pp 2810-2816.

Huang, F. (2004) Data Mining Highly Multiple Time Series of Astronomical Observations. Proceedings of Data Mining 2004, Malaga, Spain.

Teaching responsibilities

Coordination

Current supervision

Co-supervision of 2 PhD students.

Professional memberships

  • The Japan Statistical Society (full member)

Areas of expertise

  • Smooth and non-smooth optimisation methods and software
  • Statistical data analysis and modelling
Fuchun Huang

Contact details

+61 3 9919 4431