Rate My Professor Mikhail Prokopenko

Prokopenko's research specializations encompass complex systems, agent-based simulation, and digital epidemiology, with applications in guided self-organization, information dynamics, computational epidemiology, and robotics. He has produced over 280 research works, garnering more than 10,000 citations according to Google Scholar. Notable publications include "Modelling transmission and control of the COVID-19 pandemic in Australia" (Nature Communications, 2020), "Relating Fisher information to order parameters" (Physical Review E, 2011), and "Quantifying and Tracing Information Cascades in Swarms" (PLoS ONE, 2012). His influence is evident in awards such as the Lord Robert May Prize for the best paper (Journal of Biological Dynamics, 2019-2020), 2023 Entropy Best Paper Award, RoboCup 2D Simulation League World Championships (2016, 2019), CSIRO ICT Centre Chief Scientist’s Award (2012), and CSIRO ICT Centre Publishing Award (2008). Prokopenko is a Fellow of the Royal Society of New South Wales and Senior Member of IEEE. He serves on editorial boards of PLOS Complex Systems, Complex Systems, Scientific Data (2022-2025), and Entropy (2013-2023), was Specialty Chief Editor for Computational Intelligence in Frontiers in Robotics and AI (2014-2022), and participates in steering and program committees for conferences including ALife, ECAL, AAMAS, and SAB.