Speaker:  Dr Nikodem Rybak, Postdoctoral Research Fellow, School of Chemical Engineering, UQ

Abstract:  Deep learning is strongly impacting the development of new sensor systems, particularly computer vision used in process automation and autonomous systems, where it is filling a gap not previously achievable by traditional approaches. Deep learning is also being implemented in the automation of decision support systems. There is a significant scope for the application of the latest deep learning methods to improve operations in mining and mineral processing automation.

Bio:  Dr Nikodem Rybak is a machine learning and computer vision researcher at UQ with more than 10 years of experience in Research and Development. In the last few years he worked on various machine learning problems using deep neural networks as a part of the UQ R!SK research group. Nik previously also worked on natural language processing and constructed state-of-the-art NLP systems for many tasks including knowledge extraction, anomaly detection and categorisation.

About JKMRC Friday Seminars 2022

Welcome to the 2022 Series of the JKMRC Friday Seminars.  The list of presentations will aim to cover a range of topics related to the minerals sector from decision making in exploration, new mineral processing technologies, social licence to operate and mine closure.

The JKMRC Friday Seminars will be presented both in person, at the Indooroopilly Mine Site Lecture Theatre, and also as webinar.  Registration for the webinar is required and can be made via the registration link in each seminar overview.

A large number of past webinars can be accessed on the SMI website: https://smi.uq.edu.au/webinars

Previous seminars have been uploaded to YouTube via the following link: https://www.youtube.com/user/smiuq

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Indooroopilly Mine Site
40 Isles Road
Indooroopilly, Qld
Lecture Theatre