Industrial and Applied Mathematics

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Mathematical models, theories, methodologies and tools will be developed to describe spatiotemporal patterns in nonlinear dynamical systems with variable time lags and spatial dispersal. The fundamental research will be inspired by and applied to real-life applications in pattern recognition of complex data, prediction of transmission dynamics and spatial spread of communicable diseases, evaluation of mitigation strategies for controlling disease spread and biological invasion. The program will incorporate training of highly qualified personal into its highly interdisciplinary research projects and outreach activities so that curriculum development, industrial outreach, policy impact, interdisciplinary collaboration and development of fundamental research are well integrated.