Institute for Software & Systems Engineering

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Simon Stieber

Researcher
Institute for Software & Systems Engineering
Phone: +49 821 598 2469
Email: simon.stieber@informatik.uni-augsburg.de
Room: 3052 (N)
Address: Universitätsstraße 6a, 86159 Augsburg

curriculum vitae

Curriculum Vitae

  • 2015 B.Sc. Computer Science (University of Applied Sciences Augsburg)
  • 2018 M.Sc. Computer Science (University Augsburg)

For a detailed CV please visit my  Website.

Research Interests

In general:

  • Deep Learning

  • Applications of Machine Learning for industrial use-cases (Part of Industry 4.0)

  • Automation and optimization of the manufacturing of carbon fiber composites

  • Fluid Dynamics

Current thesis topics:

CFRP simulations in different frameworks (German)

 

I am involved in the following research areas and projects:

Academic Services

Reviewer for Conference Papers and Journal Articles 

Courses

Current Term

(applied filters: semester: current | lecturers: Simon Stieber | course types: all)
name semester type
Software für Industrie 4.0 summer semester 2023 Vorlesung
Seminar zu Robotik summer semester 2023 Seminar
Übung zu Software für Industrie 4.0 summer semester 2023 Übung

 

 

 

Publikationen

2023 | 2021 | 2020 | 2019

2023

Simon Stieber, Niklas Schröter, Ewald Fauster, Marcel Bender, Alexander Schiendorfer and Wolfgang Reif. 2023. Inferring material properties from FRP processes via sim-to-real learning. The International Journal of Advanced Manufacturing Technology 128, 3-4, 1517-1533. DOI: 10.1007/s00170-023-11509-8
PDF | BibTeX | RIS | DOI

2021

Jonas Wilfert, Niklas Paprotta, Oliver Kosak, Simon Stieber, Alexander Schiendorfer and Wolfgang Reif. 2021. A real-word realization of the AntNet routing algorithm with ActivityBots. In Esam El-Araby, Vana Kalogeraki, Danilo Pianini, Frédéric Lassabe, Barry Porter, Sona Ghahremani, Ingrid Nunes, Mohamed Bakhouya and Sven Tomforde (Ed.). 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C), DC, USA, 27 September - 1 October 2021. IEEE, Piscataway, NJ, 289-290. DOI: 10.1109/ACSOS-C52956.2021.00072
PDF | BibTeX | RIS | DOI

Jonas Wilfert, Simon Stieber, Frederik Wilhelm and Wolfgang Reif. 2021. Genetic programming for fiber-threading for fiber-reinforced plastics. In Moris Behnam, Lucia Lo Bello, Thomas Nolte, Marco Porta (Eds.). 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Vasteras, Sweden, 7-10 September 2021. IEEE, Piscataway, NJ, 1-8 DOI: 10.1109/etfa45728.2021.9613726
PDF | BibTeX | RIS | DOI

Simon Stieber, Niklas Schroter, Ewald Fauster, Alexander Schiendorfer and Wolfgang Reif. 2021. PermeabilityNets: comparing neural network architectures on a sequence-to-instance task in CFRP manufacturing. In M. Arif Wani, Ishwar Sethi, Weisong Shi, Guangzhi Qu, Daniela Stan Raicu, Ruoming Jin (Eds.). 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA), Pasadena, CA, USA, 13-16 December 2021. IEEE, Piscataway, NJ, 694-697 DOI: 10.1109/icmla52953.2021.00116
PDF | BibTeX | RIS | DOI

2020

Simon Stieber, Niklas Schröter, Alexander Schiendorfer, Alwin Hoffmann and Wolfgang Reif. 2020. FlowFrontNet: improving carbon composite manufacturing with CNNs. In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases - ECML PKDD 2020, 14-18 September 2020.
PDF | BibTeX | RIS

Simon Stieber, Alwin Hoffmann, Alexander Schiendorfer, Wolfgang Reif, Matthias Beyrle, Jan Faber, Michaela Richter and Markus G. R. Sause. 2020. Towards real-time process monitoring and machine learning for manufacturing composite structures. In Thilo Sauter, Francisco Vasques, Lucia Lo Bello and Valeriy Vyatkin (Ed.). 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 8-11 September 2020, Vienna, Austria. IEEE, Piscataway, NJ, 1455-1458. DOI: 10.1109/ETFA46521.2020.9212097
PDF | BibTeX | RIS | DOI

2019

Simon Stieber. 2019. Transfer learning for optimisation of carbon fiber reinforced polymer production. In Sven Tomforde and Bernhard Sick (Ed.). Organic Computing: Doctoral Dissertation Colloquium 2018. kassel university press, Kassel (Intelligent Embedded Systems ; 13), 61-73. DOI: 10.19211/KUP9783737606974
PDF | BibTeX | RIS | DOI

© Institute for Software & Systems Engineering

Institute for Software & Systems Engineering

The Institute for Software & Systems Engineering (ISSE), directed by Prof. Dr. Wolfgang Reif, is a scientific institution within the Faculty of Applied Computer Science of the University of Augsburg. In research, the institute supports both fundamental and application-oriented research in all areas of software and systems engineering. In teaching, the institute facilitates the further development of the faculty's and university's relevant course offerings.

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