Rate My Professor Klaus Nordhausen

Klaus Nordhausen is a Professor in the Department of Mathematics and Statistics at the University of Helsinki, where he also serves as Supervisor for the Doctoral Programme in Mathematics and Statistics. He leads the Multivariate Statistical Methods research group. Nordhausen holds a Diplom-Statistiker degree in Statistics from TU Dortmund University obtained in 2003 and a PhD in Biometrics from the University of Tampere in 2008. His doctoral dissertation, titled 'On invariant coordinate selection and nonparametric analysis of multivariate data,' was supervised by Hannu Oja. His academic career encompasses a decade at the University of Tampere following his PhD, a role as Docent in the Department of Social Research at the University of Turku, and an Associate Professorship at the Institute of Statistics and Mathematical Methods in Economics, TU Wien, from June 2019 to December 2020. He has additionally been affiliated with the University of Jyväskylä.

Nordhausen's research centers on robust and nonparametric multivariate statistical methods, including blind source separation, independent component analysis, invariant coordinate selection, and techniques for high-dimensional, spatial, spatio-temporal, and tensor-valued data. These methods enable the extraction of meaningful signals from noisy datasets, with applications in industrial quality control, environmental monitoring, and medical research. Notable publications include 'Independent vector analysis – an introduction for statisticians' (2026, with M. Arvila, M. Sipilä, S. Taskinen), 'Order Determination for Tensor-Valued Observations Using Data Augmentation' (2026, with U. Radojičić, N. Lietzén, J. Virta), 'Kurtosis-based projection pursuit for matrix-valued data' (2025, with U. Radojičić, J. Virta), 'JADE for Tensor-Valued Observations' (2018, with J. Virta, B. Li, H. Oja), and 'Blind Source Separation Based on Joint Diagonalization in R: The Packages JADE and BSSasymp' (2017, with J. Miettinen, S. Taskinen). He has edited volumes such as 'Robust and Multivariate Statistical Methods: Festschrift in Honor of David E. Tyler' (2023, with M. Yi) and 'Modern Nonparametric, Robust and Multivariate Methods' (2015, with S. Taskinen). Nordhausen has supervised PhD students including Aurore Archimbaud, Markus Matilainen, and Joni Virta, and secured funding from the Academy of Finland for the project 'Signal recovery in noisy spatial data' amounting to 583,258 euros.