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Kenji Bekki has been investigating the formation and evolution of galaxies and star clusters using original astrophysical computer simulations for over 25 years. He has led various small to medium-sized theoretical astrophysics projects, including the origins of the Magellanic Clouds and the environmental effects on galaxies, resulting in 130 first-author refereed publications. His research involves national and international observational projects that compare original simulations with observations. Currently, he is initiating a new theoretical project that combines supercomputer simulations with state-of-the-art artificial intelligence and deep learning technologies, known as the ‘AIverse project’. He has supervised undergraduate and postgraduate students from various countries over the past 20 years and is currently supervising students in departments such as astronomy, physics, electrical engineering, mechanical engineering, computer science, and data science, applying AI in astronomical research. Moreover, he collaborates with robotics companies to leverage the latest in AI technologies for space-related applications and contributes to creating animations from simulation data for science communication. Kenji Bekki’s research is primarily focused on applying AI to astrophysical problems, particularly in creating star clusters and galaxies through supercomputer simulations and making theoretical predictions for observational projects.
University of Western Australia • Perth, Australia
Conducts research and teaches in the field of astrophysics, focusing on galaxy and star cluster formation.
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