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 https://www.dropbox.com/s/vks8nb3quek6ojo/JBDouglas_Programme_2021.pdf?dl=0.
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 data3:05 -- 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 Analysis4:10 -- 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.
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.
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: firstname.lastname@example.org.