Hideyuki Suzuki

Hideyuki Suzuki is a Professor at the Department of Information and Physical Sciences, Graduate School of Information Science and Technology, Osaka University, where he has been employed since April 2016. His research spans nonlinear dynamics, hybrid systems, and many-body dynamics, with applications to power systems, brain modeling, and epidemic networks.

• 2001: Ph.D. in Mathematical Engineering and Information Physics, University of Tokyo
• 1998: M.Eng. in Mathematical Engineering and Information Physics, University of Tokyo
• 1996: B.Sc. in Mathematics, University of Tokyo

His research interests focus on nonlinear dynamical systems, particularly those with discontinuities or large-scale interactions, such as chaotic billiards, hybrid systems, and spatio-temporal chaos. He explores computational applications in machine learning (e.g., chaotic Boltzmann machines), epidemiology (e.g., vaccine allocation models), and power grid stability.

The 15 most recent articles highlight his work in photonic computing, nonlinear sampling algorithms, and chaotic dynamics in engineering and biology. Key trends include interdisciplinary applications of nonlinear mathematics to renewable energy, neuroscience, and epidemic spread.

Scientific awards include:

• 2022 Osaka University Prize
• 2018 JSIAM Best Paper Award for Hamiltonian Monte Carlo (2017)

He leads the Nonlinear Mathematics Course laboratory, which accepts graduate and undergraduate students. His team investigates hybrid dynamical systems, chaotic computation, and real-world modeling in fields like traffic dynamics and epidemic networks. Research is supported by grants from JST CREST and ALCA-Next programs.