Prof. Dr. Alexander Asteroth

Professor für Theoretische Grundlagen der InformatikGeschäftsführender Direktor des Instituts TREESprecher der Arbeitsgruppe Effiziente Mobilität

Forschungsgebiet

  • Optimierung, Maschinelles Lernen (insb. neuronale Netze und evolutionäre Algorithmen)
  • Surrogat-Modellierung, Systemidentifikation

 

Kontakt

Hochschule Bonn-Rhein-Sieg
E-Mail: 
alexander.asteroth [at] h-brs.de

Sankt Augustin

Grantham-Allee 20
53757
Sankt Augustin
Raum: 
A 022.3

Projekte

Stella

Im Projekt STELLA – effiziente Mobilität untersuchen wir Fragestellungen zum Thema intelligenter Verkehr. Der Focus liegt dabei auf energie-effizienter Steuerung, der Entwicklung von Fahrzeugen und ihrer Verbindung zum Nutzer. Dabei werden state-of-the-art machine-learning-Verfahren zur Lösung traditioneller Transportprobleme angewendet.

Projekt-Webseite

Publikationen

Publikationen seit 2014 

  • Adam Gaier, Alexander Asteroth, and Jean Baptiste Mouret. Aerodynamic design exploration through surrogate-assisted illumination. In 18 th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2017
  • Melanie Ludwig and Alexander Asteroth. Predicting performance from outdoor cycling training with the fitness-fatigue model. In Workshop Modelling in Endurance Sports. Universität Konstanz, 2016.
  • Melanie Ludwig, Harald G Grohganz, and Alexander Asteroth. A convolution model for heart rate prediction in physical exercise. In icSports, 4th International Congress on Sport Sciences Research and Technology support. SciTePress, 2016.
  • Melanie Ludwig, David Schaefer, and Alexander Asteroth. Training simulation with nothing bu training data-simulating performance based on training data without the help of performance diagnostics in a laboratory. In icSports, 4th International Congress on Sport Sciences Research and Technology support. SciTePress, 2016.
  • Helge Spieker, Alexander Hagg, Adam Gaier, Stefanie Meilinger, and Alexander Asteroth. Multistage evolution of single-and multi-objective MCLP. Soft Computing Journal, pages 1–14,2016.
  • Alexander Asteroth and Alexander Hagg. How to successfully apply genetic algorithms in practice: representation and parametrization: Tutorial given at inista 2015. In International Symposium on Innovations in Intelligent Systems and Applications. IEEE, 2015.
  • Matthias Füller, Ashok Meenakshi Sundaram, Melanie Ludwig, Alexander Asteroth, and Erwin Prassler. Information and Communication Technologies for Ageing Well and e-Health: First International Conference, ICT4AgeingWell 2015, Lisbon, Portugal, May 20-22, 2015. Revised Selected Papers, chapter Modeling and Predicting the Human Heart Rate During Running Exercise, pages 106–125. Springer International Publishing, Cham, 2015.
  • Melanie Ludwig, Ashok Meenakshi Sundaram, Matthias Füller, Alexander Asteroth, and Erwin Prassler. On modeling the cardiovascular system and predicting the human heart rate under strain. In ICT4AgingWell, International Conference on Information and Communication Technologies for Ageing Well and eHealth, Proceedings. SciTePress, 2015.
  • David Schaefer, Alexander Asteroth, and Melanie Ludwig. Training plan evolution based on training models. In International Symposium on Innovations in Intelligent Systems and Applications. IEEE, 2015.
  • Helge Spieker, Alexander Hagg, Alexander Asteroth, Stefanie Meilinger, Volker Jacobs, and Alexander Oslislo. Successive evolution of charging station placement. In International Symposium on Innovations in Intelligent Systems and Applications. IEEE, 2015.
  • Adam Gaier and Alexander Asteroth. Evolution of optimal control for energy-efficient transport. In Intelligent Vehicles Symposium, Proceedings, pages 1121–1126. IEEE, 2014.
  • Adam Gaier and Alexander Asteroth. Evolving Look Ahead Controllers for Energy Optimal Driving and Path Planning. In International Symposium on Innovations in Intelligent Systems and Applications, pages 138–145. IEEE, 2014.

Weitere Infos

Lehre

SoSw 2017:

  • Mathematics for Robotics and Control, MAS 1. Semester (englisch)
    Modulbeschreibung
  • Evolutionary Computation Theory and Application, MCS 1. Sem., MAS 2./3. Sem (englisch)
    Modulbeschreibung
  • Genetic Algorithms, BCS 4.Sem, Summe School (englisch)
    Modulbeschreibung

WiSe 2016/17:

SoSe 2016:

WiSe 2015/16:

Vor WiSe 2015/16