Regular biography
Daniel Kressner is a Full Professor at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the Department of Mathematics (MATH). His research interests include Numerical Algorithms and High-Performance Computing, and he holds the CADMOS Chair. He is also involved in teaching and administrative roles within the School of Basic Sciences (SB) and the School of Engineering (SMA). Kressner's work spans advanced numerical methods, large-scale linear algebra problems, and randomized numerical linear algebra. He has mentored numerous PhD students and contributed to various academic committees. His profile page provides further details on his research, teaching, and administrative responsibilities.
Scholar-generated biography
Daniel Kressner is a researcher specializing in numerical linear algebra and tensor methods. His work focuses on low-rank tensor approximation, tensor completion, and Krylov subspace methods for solving large-scale eigenvalue problems. He also explores structured eigenvalue problems, including palindromic and even eigenvalue problems, as well as nonlinear eigenvalue problems. Kressner's research includes the development of numerical algorithms for distributed signal processing and the design of preconditioned methods for high-dimensional elliptic PDE eigenvalue problems. His contributions span both theoretical and applied aspects of numerical methods for structured problems, with an emphasis on efficiency and robustness.