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Jörg Liesen is a prominent figure in the field of Numerical Linear Algebra, specializing in the numerical solutions of linear algebraic problems. His research primarily focuses on large linear systems of equations, eigenvalue problems, and the theoretical and numerical aspects of matrix functions. In addition to these key areas, he investigates complex analysis and the computation of conformal mappings. Liesen is also dedicated to teaching, providing courses in linear algebra directed towards mathematics students and numerical analysis for engineers. His advanced lectures cover topics in numerical linear algebra, matrix theory, and the theory behind Krylov subspace methods.
Requirements are consistent for general engineering and computer science programs. Specific advanced master's (MBA/Energy) may require 1 year of professional experience.