Research foci

My research is focussed on nature-inspired (meta-)heuristics, especially the Chemical Reaction Optimisation (CRO) devised in 2010. The extension and the parallelisation of CRO is part of my work, as well as the development of a strategy for classification and categorisation of metaheuristics. This strategy aims to facilitate comparing metaheuristics in terms of quality and originality. I am also interested in combining CRO with machine learning techniques. Furthermore, I apply the heuristics to problems from the field of bioinformatics.

 

  • Nature-inspired metaheuristics
  • Classification and categorisation of metaheuristics
  • Parallel and distributed algorithms
  • Bioinformatics

Publications

H. Stegherr, A. Stein and J. Hähner. “Parallel Chemical Reaction Optimisation for the Utilisation in Intelligent RNA Prediction Systems”. In: Intelligent Systems Workshop – 7th edition in the Series on Autonomously Learning and Optimising Systems (SAOS). 2019.

Curriculum/Vitae

since 2019 Research Assistant with the chair for Organic Computing
2015–2019 Bachelor programme Computer Science at the University of Augsburg
2012–2014 Master programme Biochemistry at the University of Ulm
2009–2012 Bachelor programme Biochemistry at the University of Ulm

Courses / teaching

(applied filters: | Semester: current | Institution: Organic Computing | Lehrende: Helena Stegherr | Typen: )
name semester type
Seminar über Ad-hoc- und Sensornetze WS 2019/20 Seminar

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