Prof. Richard Sinnott1
1The University of Melbourne, Australia
Biography:
Professor Richard O. Sinnott is Professor of Applied Computing Systems and Director of the Melbourne eResearch Group at the University of Melbourne. He has been lead software engineer/architect on an extensive portfolio of national and international projects, with specific focus on those research domains requiring finer-grained access control (security) and those dealing with big data challenges. He has over 450 peer reviewed publications across a range of applied computing research areas.
Abstract:
The Melbourne eResearch Group (www.eresearch.unimelb.edu.au) are involved in a multitude of projects, many of which are focused on big data and data analytics. Many researcher challenges have much to benefit from artificial intelligence and especially from the application of deep learning technologies. This talk will cover diverse areas where practical solutions have been designed and delivered to customers by the Melbourne eResearch Group including:
– Identifying specific vehicles (trucks) on the road network of Melbourne and estimating their associated speed through roadside cameras;
– Identifying platypus from remote cameras for ecology researchers;
– Identifying unique feral cats for ecology researchers;
– Evaluating the spread of bushfires through satellite imagery and especially in dealing with noisy data, e.g. where there are Clouds and smoke;
– Automatically recognising and classifying the actions and events that take place in AFL games.
The talk will cover a brief background to deep learning and focus on the results that are now possible, highlighting the above examples with demonstrations of the results.