Researchers across different domains talk about how they are using AARNet infrastructure and CloudStor SWAN to accelerate their research
In this AARNet winter series of Researcher Talks, to be held monthly from June to September, you'll find out how researchers across different domains are using AARNet infrastructure to accelerate their research. Participation in these virtual sessions is via Zoom.
Each of the four monthly sessions will feature a presentation by a researcher, who will speak about their work and the tools and techniques they use for analysis, such as CloudStor's SWAN (Service for Web-based ANalysis), followed by an informal interactive Q&A session.
All researchers, from undergrad to post doc, and eResearch and Research Support staff are welcome to attend. The purpose of these interactive sessions is to facilitate a peer-learning environment by providing an opportunity for knowledge sharing led by researchers who are already in the driver's seat, harnessing the power of Jupyter Notebooks and the AARNet cloud for their research analysis needs.
Speaker: Ammar Aziz (PhD), WHO Collaborating Centre for Influenza (VIDRL - Doherty Insititute).
In this presentation, Ammar will demonstrate how he uses Cloudstor for working remotely, continual backup of data through ownCloud, collaborating with overseas colleagues through FileSender and finally will show some tips and tricks for working with Bash/R on SWAN cloud computing platform.
(Zoom details will be send to registrants prior to session)
For more information, please contact us.
Talk #1: Thursday 3 June; 1pm - 2pm (AEST) (ENDED)
Talk #2: Thursday 1 July; 1pm - 2pm (AEST)
Talk #3: Thursday 5 August; 1pm - 2pm (AEST)
Talk #4: Thursday 2 September; 1pm - 2pm (AEST)
WATCH THE RECORDINGS:
Using CloudStor for Managing and Analysing Research Data
Thursday 3 June; 1pm - 2pm (AEST) (This event has ended, but you can watch the recording)
Speaker: Dr Robert Luke, Research Fellow, Macquarie University.
In this talk, Dr Luke will discuss how his multidisciplinary teams use CloudStor infrastructure for backing up, archiving, and sharing data. He will also show how team members use SWAN collaboratively for data validation, signal processing, and statistics.
Watch the recording: