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Dr. Martin Schüle

Dr. Martin Schüle

Dr. Martin Schüle

ZHAW School of Life Sciences and Facility Management
FG Digital Environment and Sustainability
Schloss 1
8820 Wädenswil

+41 (0) 58 934 57 84

Work at ZHAW

Management role

Head of Research/Focus Area, Digital Environment

Position at the ZHAW

Senior Researcher & Lecturer
Head Research Group Digital Environment

Professional development teaching

Education and Continuing education

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

Professional milestones

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

Educational background

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

Membership of networks

Deutsche Physikalische Gesellschaft



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.