Associate Professor Stephen Joe
Associate Professor (Mathematics)
Qualifications: BSc(Hons) MSc Massey PhD NSW
Born and bred in Palmerston North, it was natural that Stephen should attend the university there. At Massey University he did a BSc(Hons) degree in statistics followed by a MSc in mathematics. While a student at Massey he developed an interest in numerical analysis. This interest led him to obtain a Commonwealth Scholarship which enabled him to do a PhD at the University of New South Wales (UNSW) in Sydney. His PhD research topic was on the numerical solution of integral equations (these are equations in which the unknown function occurs as part of an integral).
After completing his Ph.D., he worked at UNSW for five years (as a lecturer and as a postdoctoral research fellow) before taking up a lectureship at the University of Waikato in 1992. He was promoted to Senior Lecturer in 1995 and to Associate Professor in 2005. He was Associate Dean in the School of Computing and Mathematical Sciences from mid-2003 to the end of 2004. He was the Chairperson of the Department of Mathematics from 2005 to 2007. He was then the Acting Dean in the School of Computing and Mathematical Sciences from 1 February to 30 September 2008. He is currently the Deputy Dean in the Faculty of Computing and Mathematical Sciences.
In 2011, he was a recipient of an award for Administrative Excellence and also received the 2011 Vice-Chancellor's Medal for Staff Excellence.
His interest in numerical analysis continues to this day. His current research is on lattice methods for the numerical evaluation of integrals in many variables.
Lattice methods for multiple integration; numerical multiple integration.
Brown, P. T., Joshi, C., Joe, S., & McCarter, N. (2016). Spatio-temporal modelling of crime using low discrepancy sequences. In 31st International Workshop on Statistical Modelling (IWSM'16). Rennes, France. Open Access version: hdl:10289/10770
Joe, S. (2016). The Hermite normal form for certain rank-1 circulant and skew-circulant lattice rules. Linear Algebra and its Applications, 496, 438-451. doi:10.1016/j.laa.2016.02.009 Open Access version: hdl:10289/11168
Joshi, C., Brown, P. T., & Joe, S. (2016). Using low discrepancy sequences in Grid based Bayesian methods. In 12th International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing. Stanford University, California,United States.
Joshi, C., Brown, P., & Joe. (2015). Fast Bayesian Inference using low discrepancy sequences. In Bayes On the Beach Workshop 2015. Conference held at Surfers Paradise, Gold Coast.
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