Our people

Our team consists of researchers who contribute their expertise to deliver innovative and practical solutions for a wide range of applications within mathematical modelling and analytics.

Our affiliates, students and alumni

  • Swanand Karandikar
    Adapative controller for a dynamic system using MATLAB and interfacing with RPi (Master of Engineering)
  • Siwon Lee
    Industrial controller tuning with a touch enabled mobile
    (Master of Engineering)
  • Eric Nand
    A study of identification of dynamic systems at fast sampling to minimise quantification errors
    (Master of Engineering)
  • Sahar Barmomanesh
    Potential discrimination or unfairness associated with the process of developing predictive risk models in the child welfare context
  • Fraser Borrett
    Fault tolerant robotic controllers with evolutionary algorithms
  • Tanvi Chandel
    Impact of blood pressure measurement error on cvd risk prediction and management
  • Dimtrii Erkin
    Optimal strategies for semi-periodic scheduling of urban rubbish pickups
  • Sheng Gong
    Optimal trading strategies in derivatives under (rough) stochastic environment
  • Saveeta Haresh
    Spiking neural network applications on FPGA hardware
  • Gaurav Kapoor
    Analysis of New Zealand electricity financial derivatives and risk management strategy
  • Rewat Khanthaporn
    Analytic methods in finance with applications to portfolio and risk management
  • Xi Li
    Pricing exotic options under fractional stochastic environment
  • Siqi (Vicky) Liu
    Vector generalised linear mixed models with an implementation in R
  • Wenqiang Liu
    Valuation and prediction of financial options via deep learning approaches
  • Dalin Marakkadath
    Piezoelectric micro-energy harvester integrated with CMOS energy extraction circuits
  • Stephen Pan
    Overhead powerline recognition using image processing and deep learning
  • Bishwash Paudel
    On-chip terahertz antenna design for next-generation wireless communications
  • Faqiang Zhang
  • Weijan Zhu
    Analog CMOS design of deep machine learning
  • Professor Jeffrey Hunter, Professor Emeritus of Mathematical Sciences, Member RSNZ, Fellow NZM (stochastic modelling and applied probability)
  • Professor Graeme Wake, Adjunct Professor of Industrial Mathematics, Fellow RSNZ, Fellow NZMS (research and consultant to industry in the development and application of mathematical systems science)
  • Professor William Wong, (human-computer interaction, cognitive engineering, and interaction design of user interfaces)
  • Associate Professor Boris Bacic, (AI, video and image processing, data analytics and human activity recognition)
  • Associate Professo Andrew Ensor, (high performance computing)
  • Associate Professor Xuejun (Jack) Li, Programme Director Bachelor of Engineering (Honours) (wireless networking and communications, radio frequency integrated circuits, digital signal processing, system optimisation, evolutionary computing, machine learning)
  • Associate Professor Nurul Sarker, (network design, modelling, and performance evaluation)
  • Associate Professor Wei Qi Yan, (deep learning, intelligent surveillance, computer vision, multimedia computing)
  • Dr Mahsa Mohaghegh, Director of Women in Technology and Senior Lecturer (artificial intelligence subject matter expert, advocate for diversity in tech)
  • Kenneth Johnson, Senior Lecturer (formal methods, probabilistic verification, self-adaptive systems, model checking, algebraic specifications)
  • Kerri Spooner, Senior Lecturer (tertiary and secondary mathematical modelling education, mathematics education)
  • Shoba Tegginmath, Senior Lecturer (natural language processing for knowledge discovery)

Research themes

Find out what research themes we focus on within our centre.

Our research

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