2021 ACSW – Panels and Workshops

PANEL SESSION: APPLYING FOR RESEARCH FUNDING – ARC (AUSTRALIA)

This panel is aimed at anyone who will be applying for ARC funding (Australia). The panel consists of people who have experience as members of the College of Experts that evaluates applications. This is an opportunity to get the “inside story” on what sorts of things can make (or break) an ARC funding application.

Featuring:

Chair:
Professor Wanlei Zhou (formerly University of Technology, Sydney)

Panelists:
Professor Margot Brereton (Queensland University of Technology)
Professor Tom Gedeon (Australian National University)
Professor Xun Yi (RMIT)

PANEL SESSION: APPLYING FOR RESEARCH FUNDING – MARSDEN (NZ)

This panel is aimed at anyone who is considering applying for Marsden funding (New Zealand). Professor Dobbie is the chair of the MIS panel that considers applications in Maths and Information Sciences (including computer science).

This is an opportunity to get the “inside story” on what sorts of things can make (or break) a Marsden funding application. The session will also feature a recent successful Marsden applicant.

Featuring:

Chair:
Professor Gill Dobbie (The University of Auckland)

Panelists:
Professor Stephen Macdonell (Auckland University of Technology/University of Otago)
Professor Alistair Moffatt (University of Melbourne)

PANEL SESSION: APPLYING FOR RESEARCH FUNDING – MBIE/SFTI (NZ)

This panel is aimed at anyone who is considering applying for MBIE/SfTI funding (New Zealand). The panel consists of SfTI representatives, former MBIE grant holders and members of MBIE’s College of Assessors. This is an opportunity to get the “inside story” on how to apply to MBIE and SfTI for funding, and what they are looking for.

Featuring:

Chair:
Professor Stephen MacDonell (Auckland University of Technology/University of Otago)

Panelists:
Professor John Grundy (Monash University)
Professor Don Cleland (Massey University)

PANEL SESSION: APPLYING FOR CORE AWARDS

Every year CORE awards a number of prizes (see https://www.core.edu.au/awards). This panel is for anyone considering applying for one of these awards. It is an opportunity to talk to the people who assess the applications. What makes a good application? What things can strengthen or weaken an application? The panelists are the chairs of the awards committees: John Makepeace Bennett award for the Australasian Distinguished Doctoral Dissertation (Associate Professor Cardell-Oliver), CORE Teaching Award (Associate Professor Judithe Sheard), and the Chris Wallace award for outstanding Research Contribution (Professor Link).

Featuring:

Panelists:
A/Professor Rachel Cardell-Oliver (University of Western Australia)
A/Professor Judithe Sheard (Monash University)
Professor Sebastian Link (The University of Auckland)

WORKSHOPS: INTRODUCTION TO DEEP LEARNING AND TENSORFLOW

This workshop is an introduction to how deep learning works and how you could create a neural network using TensorFlow v2. We start by learning the basics of deep learning including what a neural network is, how information passes through the network, and how the network learns from data through the automated process of gradient descent. You would build, train and evaluate your very own network using a cloud GPU (Google Colab).

We then proceed to look at image data and how we could train a convolution neural network to classify images. You will extend your knowledge from the first part to design, train and evaluate this convolutional neural network.

This workshop is limited to 40 participants. Register early to ensure your spot!

Prerequisites

This workshop is targeted at professionals with some data science knowledge who would like a theoretical and hands-on introduction to deep learning. The workshop assumes background knowledge in Python programming, understanding of basic data science concepts such as training vs. testing data, overfitting, and regression. A high level understanding of calculus and matrix operations is beneficial but not essential.

Featuring Dr. Titus Tang (Monash University)

AWS EDUCATE AND TEACHING IN THE CLOUD

Many of the major public cloud providers generously support students’ use of cloud resources. I will outline my experience teaching a third year computer science paper that studies cloud computing. The assignments and labs make use of the AWS Educate Classroom platform, which has been a highly valuable resource. I will also describe the broader context of AWS Educate, and the benefits it can provide to students. I plan to move into multi-cloud teaching, and will discuss what I have so far learnt regarding Microsoft Azure’s similar offerings.

Featuring
Associate Professor David Eyers, University of Otago