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Talks & Seminars
Title: Data, Learning and Automation
Prof. Hugh Durrant-Whyte, National ICT Australia (NICTA)
Date & Time: March 25, 2013 16:00
Venue: Conference Room, 01st Floor, C Block, Department of Computer Science and Engineering, Kanwal Rekhi Building
Abstract:
Australia is a large, sparsely populated, resource rich country a long way from anywhere; and is consequently the ideal place to develop and apply automation and machine learning technologies. The past decade has seen substantial technical development and investment in automated and semi-automated data acquisition systems for managing and controlling large scale systems, especially in areas such as mining, agriculture and urban applications which are of central importance to the Australian economy. This talk will describe a number of technical advances in the areas of machine learning, robotics and automation that have enabled substantial progress in the ‘science’ of large scale real-world information systems and which have led to significant commercial applications in Australia. The talk will also aim to look forward to the next decade, especially focusing on the development of machine learning methods for real-time operation of systems in large-scale unstructured field environments and where the opportunities for future commercial developments will come from.
Speaker Profile:
Hugh Durrant-Whyte is the CEO of National ICT Australia (NICTA). He was previously Professor of Mechatronic Engineering at University of Sydney, an ARC Federation Fellow, Director of the ARC Centre of Excellence for Autonomous Systems and of the Australian Centre for Field Robotics (ACFR). He has published over 350 research papers and founded four successful start-up companies. He has won numerous awards and prizes for his work, including the 2009 ATSE Clunes Ross Award. He is a Fellow of the IEEE (FIEEE), of the Australian Academy of Science (FAA), and the Royal Society (FRS).He was named the 2008 Professional Engineer of the Year by the Institute of Engineers Australia Sydney Division and the 2010 NSW State Scientist of the Year.
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