Mikhail Prokopenko

Professor Mikhail Prokopenko is a leading academic in complex systems research at the University of Sydney's School of Computer Science. He holds a PhD in Computer Science (Macquarie University, 2002), MA in Economics (USA), and MSc in Applied Mathematics (USSR). As Director of the Centre for Complex Systems and Theme Co-Leader for Pathogen Emergence and Spread at the Institute for Infectious Diseases, his work focuses on modeling self-organizing systems, computational epidemiology, and AI applications in pandemic control.

• Roles: Director of Centre for Complex Systems, Theme Co-Leader (Pathogen Emergence), Theme Leader (Complex Systems)
• Education: PhD Computer Science (2002), MA Economics (USA), MSc Applied Mathematics (USSR)
• Affiliations: Fellow of Royal Society of NSW, Specialty Editor for Frontiers in Robotics and AI

His research addresses challenges in complex systems like power grids, communication networks, and epidemiological models. Notable contributions include:

• RoboCup World Champion teams (2016, 2019) in Simulation League
• COVID-19 modeling featured in Nature's Top 50 SARS-CoV-2 articles (2020)
• Development of AMTraC-19 agent-based pandemic model

Key research areas include:

• Guided self-organization principles
• Information dynamics in collective systems
• Thermodynamic efficiency of complex processes

He has supervised over 200 publications and patents, with recent focus on pandemic response optimization and urban system resilience.