Michael Heider

Research Assistant
Lehrstuhl für Organic Computing
Phone: +49 821 598 69261
Room: 1031 (W)
Address: Am Technologiezentrum 8, 86159 Augsburg

Research foci

My main research is to automate parameter optimisation of industrial machinery by including existing expert knowledge into advanced machine learning algorithms. In our case study we try to implement our concepts for the case of additive manufacturing (colloquially referred to as 3D printing) using FDM machines. An important role in finding optimal parameter settings plays predicting the quality, that results from applying a given setting.


  • evolutionary rule-based learning (supervised and reinforcement learning)
  • unsupervised deep learning for feature extraction
  • 3D printing / additive manufacturing
  • adaptive systems


Michael Heider
2020 | 2019 | 2016


Helena Stegherr, Michael Heider and Jörg Hähner. in press. Classifying metaheuristics: towards a unified multi-level classification system. DOI: 10.1007/s11047-020-09824-0
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Richard Nordsieck, Michael Heider, Andreas Angerer and Jörg Hähner. 2020. Evaluating the effect of user-given guiding attention on the learning process. DOI: 10.1109/acsos49614.2020.00044
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Michael Heider, David Pätzel and Jörg Hähner. 2020. SupRB: a supervised rule-based learning system for continuous problems.
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Michael Heider, David Pätzel and Jörg Hähner. 2020. Towards a Pittsburgh-style LCS for learning manufacturing machinery parametrizations. DOI: 10.1145/3377929.3389963
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Michael Heider. 2019. Increasing reliability in FDM manufacturing. DOI: 10.18420/inf2019_ws52
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Richard Nordsieck, Michael Heider, Andreas Angerer and Jörg Hähner. 2019. Towards automated parameter optimisation of machinery by persisting expert knowledge. DOI: 10.5220/0007953204060413
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Sebastian von Mammen, Heiko Hamann and Michael Heider. 2016. Robot gardens: an augmented reality prototype for plant-robot biohybrid systems. DOI: 10.1145/2993369.2993400
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since 2019 Research Assistant with the chair for Organic Computing
2015–2018 Master programme Computer Science and Information-oriented Business Management at the University of Augsburg
2012–2016 Bachelor programme Computer Science at the University of Augsburg

Courses / teaching

(applied filters: semester: current | institute: Organic Computing | lecturers: Michael Heider | course types: all)