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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
Schloss 1
8820 Wädenswil

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

Personal profile

Position at the ZHAW

Senior Researcher

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

Professional development teaching

Expertise and research interests

Bio-inspired Computing, Deep Learning, Machine Learning, Modelling of Complex Systems, Cellular Automata Modelling and Theory, Nonlinear Dynamics, Philosophy of Science

Educational background

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

Professional milestones

2013-2014 Postdoc, IHPST, Paris, France
2012-2013 Postdoc, Faculty of Informatics, Università della Svizzera italiana

Membership of networks

Projects

Publications

Articles in scientific journal, peer-reviewed
Conference contributions, peer-reviewed
Other publications
Oral conference contributions and abstracts
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.