In this division, for complex problems that occur in various scientific fields, we develop the advanced knowledge of engineering and science through solutions based on computational techniques and the mathematical theory. In particular, we explore the nonlinear phenomenons with multiple problems through a variety of mathematical theory and verify them through a number of technical technique using high-performance computing.
a Field of study
To study algorithms to efficiently analyze scientific experiment data Detection and analysis of astrophysical transient events Development of analysis tools for international gravitational wave experiment data
We develop stable and efficient numerical methods for solving stochastic partial differential equations which are derived from industries and sciences due to uncertainties of measurements and models.
Complex systems such as brain images, software networks by using the theory of dynamical systems and complex networks.
Research for the mathematical imaging to provide a new clinical assessment using mathematical modeling, sophisticated algorithm and high-performance computing.
The ‘NIMS Convergence Computing’ hub is to be established as an engine to efficiently maintain and utilize newly acquired computing technologies and resources, so that researchers in academic settings may better focus on making theoretical breakthroughs
Division of Computational Mathematics Ha, Tae Young