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Mikhail Prokopenko

The University of Sydney · Computer Science
simulation Thermodynamics Modelling Artificial life complex adaptive systems Autonomous agents multiagent systems Epidemiological modelling
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Professor Mikhail Prokopenko is a Professor in the Department of Computer Science at The University of Sydney. His research interests include modelling and simulation, autonomous agents and multiagent systems, artificial life and complex adaptive systems, epidemiological modelling, thermodynamics and statistical physics, and complex systems. He is the Director of the Centre for Complex Systems and a member of the leadership team at the University of Sydney Infectious Diseases Institute. His work has been applied to pandemic and crisis modelling, systems biology, and other areas. He has contributed to the 'Roadmap to Recovery' report and his research on modelling COVID-19 in Australia is listed in Nature’s Top 50 SARS-CoV-2 articles from 2020.

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