Dr. Claus Horn
Dr. Claus Horn
School of Life Sciences and Facility Management
FS Autonomous Systems and Reinforcement Learning
Head, Autonomous Systems and Reinforcement Learning research group
Position at the ZHAW
Lecturer (Institute of Computational Life Sciences)
Head of Continuing Education Program at ICLS
Advanced Deep Learning
Professional development teaching
Expertise and research interests
Forcast and control models for sequential data using reinforcement learning and deep learning, generative models, graph neural networks, causal inference, artificial intelligence
2023 - CAS Management and Leadership
2021 - CAS University Didactics
2006 - PhD in Physics
2007 - M.Sc. in Economics
2003 - M.Sc. in Physics
Lead Data Scientist, Migros, Zurich
Cognitive Data Scientist, Swiss Re, Zurich
Researcher, CERN, Geneva
Postdoc, Stanford University, Palo Alto, CA
Membership of networks
- Drone Alarm / Deputy project leader / Project completed
- Reinforcement Learning Analysis Framework / Project leader / Project completed
- Optimizing plant health in indoor farming using reinforcement learning / Project leader / Project completed
- Transformer Networks for Drone Signals / Deputy project leader / Project completed
- Optimization of online education systems with reinforcement learning / Project leader / Project completed
- Classification of drone signals / Deputy project leader / Project completed
- Detection of drone signals / Deputy project leader / Project completed
Horn, Claus; Nyfeler, Matthias; Müller, Georg; Schüpbach, Christof,
Drone radio signal detection with multi-timescale deep neural networks [paper].
Yurish, Sergey Y., ed.,
Proceedings of the 4th International Conference on Advances in Signal Processing and Artificial Intelligence.
4th International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI), Corfu, Greece, 19-21 October 2022.
Available from: https://doi.org/10.21256/zhaw-27185
Imstepf, Nicolas; Senn, Saskia; Fortin, Antonio; Russell, Benjamin; Horn, Claus,
A learned simulation environment to model student engagement and retention in automated online courses.
Available from: https://doi.org/10.48550/arXiv.2212.14693
Amacker, Julian; Kleiven, Thomas; Grigore, Mihai; Albrecht, Patrick; Horn, Claus,
A learned simulation environment to model plant growth in indoor farming.
Available from: https://doi.org/10.48550/arXiv.2212.03155
Publications before appointment at the ZHAW
ATLAS Collaboration, „Combined search for the Standard Model Higgs boson in pp collisions at √s=7 TeV with the ATLAS detector“, Phys.Rev. D86 (2012) 032003.
ATLAS Collaboration, “Search for a light Higgs boson decaying to long-lived weakly-interacting particles in proton-proton collisions at √s = 7 TeV with the ATLAS detector“, Phys.Rev.Lett. 108 (2012) 251801
ATLAS Collaboration, „Search for displaced vertices arising from decays of new heavy particles in 7 TeV pp collisions at ATLAS“, Phys.Lett. B707 (2012) 478-496
ATLAS Collaboration, “Search for supersymmetry using final states with one lepton, jets, and missing transverse momentum with the ATLAS detector in s√=7 TeV pp”, Phys.Rev.Lett. 106 (2011) 131802
ATLAS Collaboration, “The ATLAS Simulation Infrastructure”, Eur.Phys.J. C70 (2010) 823-874
ATLAS Collaboration, “Performance of the ATLAS Trigger System in 2010”, Eur.Phys.J. C72 (2012) 1849
C. Horn, „A Bottom-Up Approach to SUSY Analysis“, J. Phys. G: Nucl. Part. Phys. 36 (2009) 105005.
ATLAS Collaboration, “Expected Performance of the ATLAS Experiment - Detector, Trigger and Physics”, SLAC-R-980, CERN-OPEN-2008-020.
C. Horn, “Search for gravitinos in R-parity violating supersymmetry at HERA”, Ph.D. Thesis, DESY (2006).
C. Horn, “Crystal Growth of the Organic Semiconductors Tetracene and PTCDA on Self-Assembled Monolayers absorbed on Al2O3 Substrates”, Master Thesis (2003).
For a more complete list see: