Bastian Seifert
E-MAIL
ADDRESS Universitätstrasse 6, 8092 Zürich, Switzerland
ROOM CAB H 81.2
Bastian Seifert is a postdoc of Markus Püschel. Before joining ETH he did his PhD under the supervision of Knut Hüper at the department of mathematics of the Julius-Maximilians-Universität Würzburg, while being a research assistant at the Center for Signal Analysis of Complex Systems of the University of Applied Sciences Ansbach. His main research interest is in algebraic signal processing theory. He did some research in the area of dimensionality reduction of epileptic EEG data, as well.
Co-advised theses at ETH
- Fast Möbius and Zeta Transforms
Tommaso Pegolotti, Master’s thesis 2021 (with Markus Püschel)
Publications related to algebraic signal processing
2022
Vedran Mihal, Bastian Seifert, Markus Püschel
to appear in Proc. 30th European Signal Processing Conference (EUSIPCO)
Bastian Seifert, Chris Wendler, Markus Püschel
ICLR 2022 Workshop on the Elements of Reasoning: Objects, Structure and Causality [poster]
2021
Markus Püschel, Bastian Seifert, Chris Wendler
IEEE Transactions on Signal Processing, Vol. 69, pp. 3571-3584, 2021 [code]
Bastian Seifert, Chris Wendler, Markus Püschel
Proc. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 5355-5359, 2021 [poster]
Chris Wendler, Andisheh Amrollahi, Bastian Seifert, Andreas Krause, Markus Püschel
Proc. AAAI Conference on Artificial Intelligence, pp. 10283-10292, 2021
Bastian Seifert and Markus Püschel
IEEE Transactions on Signal Processing, Vol. 69, pp. 1422-1437, 2021 [code] [slides+poster for ICASSP 22]
2019
Bastian Seifert and Knut Hüper
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Bastian Seifert
submitted for publication
2018
Fast cosine transform for FCC latticesBastian Seifert, Knut Hüper and Christian Uhl
13th APCA International Conference on Automatic Control and Soft Computing (CONTROLO)
Publications related to dimensionality reduction of epileptic EEG data
2020
Subspace Detection and Blind Source Separation of Multivariate Signals by Dynamical Component Analysis (DyCA)Christian Uhl, Moritz Kern, Monika Warmuth and Bastian Seifert
IEEE Open Journal of Signal Processing
2019
Dynamical Component Analysis (DyCA) and its application on epileptic EEGKatharina Korn, Bastian Seifert and Christian Uhl
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2018
Dynamical Component Analysis (DyCA): dimensionality reduction for high-dimensional deterministic time-seriesBastian Seifert, Katharina Korn, Steffen Hartmann and Christian Uhl
IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP) Analytic quantification of Shilnikov chaos in epileptic EEG data
Bastian Seifert, Dennis Adamski and Christian Uhl
Front. Appl. Math. Stat.,
See also the Google Scholar site.
Education
| PhD in Mathematics, Julius-Maximilians-Universität Würzburg, Germany advisor Knut Hüper Thesis: Multivariate Chebyshev polynomials and FFT-like algorithms |
June 2019 (thesis handed in) / June 2020 (thesis defense) |
| Master (M.Sc.) in Mathematics, Julius-Maximilians Universität Würzburg, Germany advisor Stefan Waldmann |
August 2015 |
| Bachelor (B.Sc.) in Mathematics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany | August 2013 |
Awards
| Otto-Volk-Urkunde of the Otto-Volk-Stiftung for top grade Master degree | 2016 |