Our people

Philip Zang

Philip Zhang

Senior Research Scientist

IoT and Data Solutions

Data Science

Areas of expertise

  • Artificial intelligence (Natural language processing and image processing)
  • Data analytics
  • Mathematical Modelling/Computational Modelling for Industrial Solutions

Qualifications

  • PhD (Applied Maths)

Professional activities

  • 2015-present, Senior Research Scientist;
  • 2010-2015, Research Scientist, IRL;
  • 2008-2010, Postdoc, IRL;
  • 2004-2008, Massey Univeristy, PhD;
  • 1994-2004, Lecturer/Associate Professor, Chongqing University, China

Biography

Philip Zhang is a senior research scientist in Callaghan Innovation’s Data Science team.

He joined Industrial Research Ltd (now Callaghan Innovation) in 2008 with a PhD in applied maths from Massey University, working on mathematical modelling of industrial processes.

Philip has been working in Data Science fields and Industrial Modelling since 2010 and he has completed numerous projects for New Zealand companies.

Before immigrating to New Zealand, he was an associate professor at Chongqing University. Philip has established and maintained active connections with many applied mathematicians in New Zealand and overseas.

He was a visiting scholar at Cambridge University in the UK, Dresden University of Technology in German, Cergy-Pontoise University in France and the Institute of Computational Maths of Chinese Academy of Science in China.

Publications

  • AC loss simulation in a HTS 3-Phase 1 MVA transformer using H formulation. W.Song, Z. Jiang, X.Zhang, M. Staines et al, Cryogenics, Volume 94, Pages 14-21, September 2018.
  • Transport AC loss measurements in bifilar stacks composed of YBCO coated conductors. W. Song. Z. Jiang, X. Zhang et al, IEEE Transactions on Applied Superconductivity, Issue No.4, Vol. 28, June 2018.
  • Dynamic resistance of a high-Tc coated conductor wire in a perpendicular magnetic field at 77K. Z. Jiang, R. Toyomoto, N. Amemiya, X. Zhang and C. Bumby., Superconductor Science and Technology, 30, 03LT01, 2017.
  • Effective slip length: some analytical and numerical results, X.P. Zhang, N. Lund and S. Hendy., ANZIAM Journal, vol.57, 2015.
  • Calculation of effective slip on rough chemically heterogeneous surfaces using a homogenization approach. N. Lund, X. P. Zhang and S. Hendy., Physical Review E 86 (4 Pt 2):046303, 2012.
  • Asymptotic blowup profiles for modified Camassa-Holm equations. R. Mclachlan and X. Zhang., SIAM Journal of Applied Dynamical Systems, 10(2), 2011.
  • Well-posedness of modified Camassa-Holm equations. R. Mclachlan and X. Zhang., Journal of Differential Equations, 246(8), 2009.
  • A remark on partly dissipative reaction diffusion systems on Rn. X. Pu and X. Zhang., Acta Mathematicae Applicae Sinica, 24(4), 2008.
  • Homogenization of degenerate quasilinear parabolic equations with periodic structures. Y. Huang, N. Su and X. Zhang., Asymptotic Analysis, 48(1&2), 2006.
  • Stability of C0 semigroups which possess global attractors. Y. Zhou and X. Zhang., Dynamical Systems, 20(2), 2005.
  • Homogenisation for degenerate quasilinear parabolic equations of second order. X. Zhang and Y. Huang., Acta Mathematicae Applicae Sinica, 21(1), 2005.
  • Asymptotic smoothing effect for a weakly damped forced equation of shallow water type. X. Zhang. Nonlinear Analysis TMA, 50(6), 2002.