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View other supervisors at University of LeedsProfessor Alastair M. Rucklidge holds a PhD from the University of Cambridge (Cantab), a SM from the Massachusetts Institute of Technology (MIT), and a BASc from the University of Toronto. He is currently a Professor in the School of Mathematics at the University of Leeds. His research interests focus on the formation and stability of regular patterns in nature, which are influenced by the interactions of symmetry, dynamics, and nonlinearity. Professor Rucklidge''s work explores how nonlinear interactions of waves lead to the emergence of quasipatterns in Faraday waves and quasicrystals in soft matter, as well as spatio-temporal chaos in reaction-diffusion systems. He investigates phenomena such as spirals in cyclic competition models and their stability, and he develops new models to understand mode interactions and localized patterns. His research encompasses quantitative explanations of fluid dynamics experiments and new ideas on heteroclinic bifurcations and networks. Professor Rucklidge is affiliated with research groups in Applied Mathematics and Applied Nonlinear Dynamics. He is a member of the London Mathematical Society, the Society for Industrial and Applied Mathematics, and the Royal Astronomical Society.
Professor Rucklidge''s research focuses on the formation and stability of regular patterns in nature, governed by the intricate interactions of symmetry, dynamics, and nonlinearity. His work aims to understand how nonlinear interactions of waves in different directions lead to the formation of quasipatterns in Faraday waves and quasicrystals in soft matter, as well as spatio-temporal chaos in reaction-diffusion systems. He is particularly interested in the stability of spirals, such as those found in models of cyclic competition like Rock-Paper-Scissors. His research encompasses quantitative explanations of fluid dynamics experiments, the development of new models for understanding mode interactions and localised patterns, and novel ideas on heteroclinic bifurcations and networks.