Dr. Claus Horn

Personal profile

Management role

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

Courses taught:
Machine Learning
Advanced Deep Learning

Professional development teaching

• CAS in Digital Life Sciences
• Applied Reinforcement Learning
• Data Analysis Fundamentals

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

Educational background

2023 - CAS Management and Leadership
2021 - CAS University Didactics
2006 - PhD in Physics
2007 - M.Sc. in Economics
2003 - M.Sc. in Physics

Professional milestones

Lead Data Scientist, Migros, Zurich
Cognitive Data Scientist, Swiss Re, Zurich
Researcher, CERN, Geneva
Postdoc, Stanford University, Palo Alto, CA

Membership of networks

• Reinforcement Learning Zurich
• LinkedIn
• Google scholar
• Research gate

Projects

• 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

Publications

• Garcia, Victor; Horn, Claus; Ott, Thomas,

  2022.

  The sciences of data – moving towards a comprehensive systems perspective.

  Archives of Data Science, Series A.

  8(2).

  Available from: https://doi.org/10.5445/IR/1000150241

• Horn, Claus; Nyfeler, Matthias; Müller, Georg; Schüpbach, Christof,

  2022.

  Drone radio signal detection with multi-timescale deep neural networks [paper].

  In:

  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.

  IFSA Publishing.

  pp. 140-143.

  Available from: https://doi.org/10.21256/zhaw-27185

• Imstepf, Nicolas; Senn, Saskia; Fortin, Antonio; Russell, Benjamin; Horn, Claus,

  2022.

  A learned simulation environment to model student engagement and retention in automated online courses.

  arXiv.

  Available from: https://doi.org/10.48550/arXiv.2212.14693

• Amacker, Julian; Kleiven, Thomas; Grigore, Mihai; Albrecht, Patrick; Horn, Claus,

  2022.

  A learned simulation environment to model plant growth in indoor farming.

  arXiv.

  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:
scholar.google.com/citations

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