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NSW Branch: 22nd J. B. Douglas Awards

  • 9 Dec 2021
  • 2:00 PM - 5:30 PM (AEDT)
  • the Aerial Function Centre, UTS

The 22nd J.B. Douglas Awards will be held at the Aerial Function Centre, UTS on Thursday 9th of December 2021. Each year, the J.B. Douglas Awards provides a platform to showcase research produced by postgraduate students who are about to graduate. As it is a hybrid event this year, you will be able to join us virtually via Zoom if you are not able join us physically.

Please note that for security reasons, if you choose to attend virtually via zoom, you will need to register here

in advance. After registering, you will receive a confirmation email containing information about joining the meeting. Both the J.B. Douglas Awards and the Annual Lecture share the same Zoom link.

22nd J.B. Douglas Awards

Time: Thursday 9 December, 2:00-5:30pm AEDT

You can access the programme via the link

Award candidates:

Congratulations to the following students for their nominations to present at the 22nd J.B. Douglas Awards! Please find the schedule and titles of their talks below:

2:15 – 2:40pm       Aishwarya Bhaskaran
School of Mathematical and Physical Sciences, University of Technology Sydney

Usable and precise asymptotics for generalized linear mixed model analysis

2:40 – 3:05pm       Lijing Ma
Department of Mathematics and Statistics, Macquarie University

Multiple change point detection and validation in autoregressive time series data

3:05 -- 3:30pm      Maeve McGillycuddy
School of Mathematics and Statistics, University of New South Wales

A new tool to fit multivariate random effects parsimoniously via a reduced rank approach

3:45 -- 4:10pm      Mingyuan Bai
Discipline of Business Analytics, The University of Sydney Business School, The University of Sydney

Tensor Neural Differential Equations for Tensorial Time Series Analysis

4:10 -- 4:35pm      Quan Vu
School of Mathematics and Applied Statistics, University of Wollongong

Modelling Antarctica Elevation Change Using Nonstationary Spatio-Temporal Covariances

4:35 -- 5:00pm      Yunwei Zhang
School of Mathematics and Statistics, The University of Sydney

Big data in public health: kidney transplant allocation and personalized survival prediction

The detail abstracts of the candidates' presentations can be find in the programme. Please noted that the time here only reflects the planned schedule, the actual schedule might subject to change on the awards day.

Our Sponsors:

Thank you to our sponsors that make this event this possible, especially in this chaotic year! If your organisation can sponsor a small amount, we would appreciate this. All sponsor logos will be displayed in the J.B. Douglas programme.

Gold Sponsors


Business School, Business Analytics Research

Department of Mathematics and Statistics

School of Mathematics and Statistics

National Institute for Applied Statistics Research Australia

Any questions, please feel free to contact:

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