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Mikhail Prokopenko Trusted member

Principal Research Fellow

CSIRO ICT Centre, Sydney

Areas(s) Computer Science
Subject(s) Complex Networks, Machine Learning, Self-Organization, Information Theory
Spoken languages English, Russian
Biography & Interests

I received a PhD in Computer Science (Macquarie University, 2002, Australia), a MA in Economics (University of Missouri-Columbia, 1994, USA), and a MSc in Applied Mathematics (Azerbaijan Institute of Petroleum & Chemistry, 1988, USSR). Currently I am a principal research scientist and a senior science specialist (Machine Learning) at the CSIRO ICT Centre, having worked on many CSIRO cross-divisional projects including smart grids, cascading failures analysis, anomaly detection, cyber-security, CSIRO-NASA project on self-monitoring aerospace vehicles, optimal sensor networks, computational neuroscience, evolution of genetic coding, etc. My publication record includes more than 110 publications and patents, and an edited book ("Advances in Applied Self-organizing Systems", Springer, 2008). With my international collaborators I have co-organized the series of International Workshops on Guided Self-Organization (GSO). I was a keynote speaker at 6th International Workshop on Agent-Based Simulation (2005) and 3rd International Workshop on GSO (2010), served as a guest editor of special issues on Guided Self-organization in HFSP Journal (Human Frontiers Science Program, 2009), Theory in Biosciences (2011), a special issue on Complex Networks in Artificial Life (2011), and a section editor for Encyclopaedia of Machine Learning (Evolutionary Computation). In June 2002, I received the Japanese Society for Artificial Intelligence award for scientific contribution to the RoboCup Simulation League. A research grant from Max Planck Institute for Mathematics in the Sciences (Leipzig, Germany) in 2009 allowed me to research in more depth novel information-theoretic measures for complexity.

I have a strong interest in complex self-organizing systems, developing and applying information-theoretic and graph-theoretic methods to studies of critical phenomena and phase transitions.

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Mikhail's Quantitative Metrics and indexes H: 16 G: 21 N: 0.127 C:

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Mikhail's Peer Evaluation activity

Downloads 509
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  • Gloria Origgi, Research Fellow, CNRS, Institut Nicod, Ecole Normale Supérieure, Ecole des Hautes Etudes, Paris.

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