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Dr. Martin Schüle

Dr. Martin Schüle

Dr. Martin Schüle
ZHAW School of Life Sciences and Facility Management
Fachstelle Bio-Inspired Modeling & Learning Systems
Einsiedlerstrasse 31a
8820 Wädenswil

+41 (0) 58 934 57 84
martin.schuele@zhaw.ch

Personal profile

Position at the ZHAW

Senior Research Associate

https://www.zhaw.ch/de/lsfm/institute-zentren/ias/

Expertise and research interests

Modelling of Complex Systems, Bio-inspired Computing, Neural Networks, Machine Learning, Cellular Automata Modelling and Theory, Nonlinear Dynamics, Econometrics, Data Analysis

Educational background

Physics Diploma at ETH Zurich
PhD at ETH Zurich
CAS Hochschuldidaktik (ZHAW)

Professional milestones

2013-2014 Postdoc with Prof. Dr. M. Kistler, IHPST, Paris, France
2012-2013 Postdoc with Prof. Dr. S. Wolf, Università della Svizzera italiana
2007-2012 PhD ETH Zürich

Membership of networks

Projects

Publications

Peer-reviewed articles/chapters

  • ; ; ().

    Forecasting Correlation Structures

    : Kongressvortrag.

    In: 2016 International Symposium on Nonlinear Theory and Its Applications. Kongress. (27.11.2016). Yugawara, Japan: International Symposium on Nonlinear Theory and Its Applications. Peer reviewed.

Non-peer-reviewed articles/chapters

  • ().

    On the Nature of Computation

    : Seminarvortrag.

    In: Séminaire d'Histoire et Philosophie de l'Informatique. Seminar. (14.4.2016). Paris: IHPST Paris.

Publications before appointment at the ZHAW

M. Schüle, Computational Universality and the Edge of Chaos: the Cellular Automata Case, Proceedings of the 7th AISB Symposium on Computing and Philosophy, University of London, England
M. Schüle, Natural Computation, PhD-Thesis 2012, ETH Zurich.
M. Schüle, R. Stoop, A Full Computation-relevant Topological Dynamics Classification of
Elementary Cellular Automata, Chaos, Volume 22(4), 043143, 2012.
M. Schüle, R. Stoop, The Dynamic Behaviour of a Simple Symbolic Dynamics Model of
Locally Coupled Oscillators, Proceedings of NOLTA 2011.
M. Schüle, T. Ott, R. Stoop, Computing with Probabilistic Cellular Automata, Lecture Notes
in Computer Science, Volume 5769/2009, p. 525-533, 2009.
M. Schüle, T. Ott, R. Stoop, Global Dynamics of Finite Cellular Automata, Lecture Notes in Computer Science, Volume 5163, p. 71-78, 2008.
Y. Ortiz, M. Schüle, Limited Rationality and Strategic Interaction: A Probabilistic Multi- Agent Model, working paper at the Swiss National Bank Study Center Gerzensee.
T. Ott, M. Schüle, R. Stoop, Message Passing in Neural Networks, Proceedings of NDES 2007.