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Professor Janet Wiles
Project Director
School of Information Technology and Electrical Engineering
Tel: (07) 3365 2902 Web: www.itee.uq.edu.au
Email: j.wiles@itee.uq.edu.au
Janet Wiles is Professor of Complex and Intelligent Systems in the School of Information Technology and Electrical Engineering at The University of Queensland. Her research program involves using computational modelling to understand complex systems with particular applications in biology, neuroscience and cognition. She is Director of the Thinking Systems Project.
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Professor Perry Bartlett
Director, Queensland Brain Institute
Tel: (07) 3346 6311 Web: www.qbi.uq.edu.au
Email: pa@qbi.uq.edu.au
Professor Perry Bartlett was appointed Foundation Chair in Molecular Neuroscience at The University of Queensland in August 2002, and as Foundation Director of the newly established Queensland Brain Institute in 2003.
Professor Bartlett previously headed the Neuroscience division at the Walter and Eliza Hall Institute in Melbourne, and is a Fellow of the Australian Academy of Science and the recipient of the highly prestigious ARC Federation Fellowship. His group’s work on the production of neurons in the adult brain has been published on the front cover of Nature and now focuses on how new neurons regulate higher-brain functions such as memory and learning.
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Professor Kevin Burrage
Professor of Computational Systems Biology, COMLAB, Oxford University and Professor of Computational Mathematics, IMB, University of Queensland
Tel: (07) 33662612 (UQ) (07) 31385185 QUT
Web: www.maths.uq.edu.au
Email: k.burrage@imb.uq.edu.au
Email: kevin.burrage@qut.edu.au
Professor Kevin Burrage is a Federation Fellow (2003-2010). He has joint positions in Mathematics and the Institute for Molecular Bioscience. He is Professor of Computational Mathematics at the University of Queensland.
His areas of interest include multi-scale modelling, scientific parallel and grid computing, mathematical software, modelling in the biological sciences, numerical solution of differential equations (deterministic and stochastic), linear systems of equations, computational biology, engineering applications.
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Professor Geoffrey Goodhill
Queensland Brain Institute, Department of Mathematics & Institute for Molecular Bioscience, University of Queensland
Tel: (07) 3346 6431 Web: www.qbi.uq.edu.au
Email: g.goodhill@uq.edu.au
Professor Goodhill did a Joint Honours BSc in Mathematics and Physics at Bristol University (UK), followed by an MSc in Artificial Intelligence at Edinburgh University and a PhD in Cognitive Science at Sussex University. Following a postdoc at Edinburgh University he moved to the USA in 1994, where he did further postdoctoral study in Computational Neuroscience at Baylor College of Medicine and the Salk Institute. Professor Goodhill formed his own lab at Georgetown University in 1996, where he was awarded tenure in the Department of Neuroscience in 2001. In 2005 he moved to a joint appointment between the Queensland Brain Institute and the School of Mathematical and Physical Sciences at the University of Queensland.
Professor Goodhill is currently Editor-in-Chief of the journal "Network: Computation in Neural Systems".
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Professor Jason Mattingley
Queensland Brain Institute/UQ School of Psychology
Tel: (07) 3346 7935 Web: www.qbi.uq.edu.au
Email: j.mattingley@uq.edu.au
Professor Jason Mattingley is Foundation Chair of Cognitive Neuroscience at UQ, where he holds a joint appointment between the Queensland Brain Institute and School of Psychology. He received his PhD in neuropsychology from Monash University in 1994, and subsequently spent several years as a research fellow in Cambridge, England, where he was also elected a Fellow of King’s College.
His research spans the broad field of cognitive neuroscience, with particular emphasis on the behavioural effects of brain injury caused by stroke. His research team also employs brain imaging and brain stimulation techniques to investigate various aspects of cognition in healthy individuals. Professor Mattingley’s work has helped to elucidate the cognitive and neural mechanisms underlying selective attention and motor control. He has published more than 100 articles in scholarly journals, including numerous papers in Nature, Science and Nature Neuroscience.
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Professor Pankaj Sah
Head of Synaptic Plasticity
Queensland Brain Institute
Tel: (07) 3346 8815 Web: www.qbi.uq.edu.au
Email: pankaj.sah@uq.edu.au
Professor Pankaj Sah is a neurobiologist and head of Synaptic Plasticity at the Queensland Brain Institute. He graduated in Medicine from the University of NSW in 1983. Following an internship, he became interested in the brain and did a PhD in neuroscience. After completing his PhD, he worked in the United States for two years and returned as a postdoctoral fellow to the University of Queensland for an initial three years. He then moved to the University of Newcastle, Faculty of Medicine. In 1998, he set up a lab at the John Curtin School of Medical Research in Canberra, and relocated to QBI as a founding member in 2003.
His lab works on the amygdala, a region of the brain involved in laying down emotional memory. Pankaj became interested in working on the amygdala as dysfunction of this structure underlies mental disorders such as panic attacks, anxiety and post-traumatic stress disorder.
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Dr Andrew Smith
Leximancer Chief Scientist,
Adjunct Researcher in the School of Information Technology and Electrical Engineering at UQ, and Senior Research Officer in the Institute for Social Science Research (ISSR) in the UQ Faculty of Social and Behavioural Sciences
Email: contact@leximancer.com
Web: www.leximancer.com
Andrew Smith is the creator of Leximancer, a software application for text analysis. His early research training was in Physics, with a Ph.D. from The University of Queensland in 1993. From 1993 to 2000 Andrew worked in the IT industry mostly in positions where he has worked closely with users.
In 2000 he undertook a research Masters degree in Information Science in order to develop a robust computational system for quantifying and visualising the conceptual information in large text collections.
He is now working on new ways to visualise and quantify the temporal dynamics of communication with the Thinking Systems team at UQ, as well as an automated document library system for use in various criminal intelligence applications with a team from ISSR. He will continue to play a leading role in driving the Leximancer technology forward as Chief Scientist of Leximancer Pty Ltd.
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Professor Mandyam Srinivasan
Head of Visual Neuroscience
Queensland Brain Institute
Tel: (07) 3346 6322 Web: www.qbi.uq.edu.au
Email: m.srinivasan@uq.edu.au
Professor Mandyam Srinivasan moved to the University of Queensland in January 2007 to take up a Professorship in Visual Neuroscience at the Queensland Brain Institute. In August 2007, he was awarded the Queensland Smart State Premier’s Fellowship. Before coming to UQ, Professor Srinivasan headed a 20-strong team at the Australian National University where – for more than two decades – his laboratory produced some 180 publications, including 21 in high-impact journal articles in publications such as Nature, Science, PNAS, PLOS Biology and Current Biology.
By studying the behaviour of small animals, such as insects, Professor Srinivasan and his colleagues have demonstrated that many relatively simple nervous systems nevertheless display a rich behavioural repertoire. The Srinivasan laboratory seeks to elucidate principles of flight control and navigation, and to explore the limits of the ‘cognitive’ capacities of small brains.
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Professor Gordon Wyeth
Queensland University of Technology
Tel: (07) 3138 2223
Web: https://wiki.qut.edu.au/display/cyphy
Email: gordon.wyeth@qut.edu.au
Professor Gordon Wyeth recently joined the Queensland University of Technology as a Professor in robotics. He holds a PhD and a Bachelor of Engineering degree (with honours) in Computer Systems Engineering. He is the President of IEEE Control Systems, Robotics and Automation Queensland chapter, former president of the Australian Robotics and Automation Association and has served in various leadership positions in the RoboCup International Federation. He serves in various editorial positions for leading international robotics journals and conferences.
Professor Wyeth's research receives funding through the Australian Research Council and other government and industry bodies. His team has designed and constructed more than twenty types of robots, including flying robots, wall-climbing robots, high performance wheeled robots, legged robots, manipulators and a humanoid robot. His robot soccer team, the RoboRoos, have been runners-up three times in the RoboCup World Cup of robot soccer. His research is internationally recognized for building practical and useful robots that exploit, explain and expand models of living systems.
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