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Department of Computer Science

20150911_fbinf_ludwig-melanie_profil.png (DE)

Melanie Ludwig (former employee)

M.Sc./Research Assistant/Project eTa


Department of Computer Science

Research fields

  • Computergestützte Umsetzung und Analyse physiologischer Modelle, insbesondere im Bereich der Herzfrequenzanalyse
  • Trainingsmodellierung


Sankt Augustin


Grantham-Allee 20

53757, Sankt Augustin


  • Betreuung und Unterstützung von Übungen v.a. im Bereich der Theoretischen Informatik und in den Logischen Grundlagen
  • Forschung im Rahmen des S4S-Stella-Projektes
  • Stipendiatin der Gleichstellungsstelle seit 2017

Curriculum vitae

seit 2015

Wissenschaftliche Mitarbeiterin und Promovendin an der Hochschule Bonn-Rhein-Sieg (in Kooperation mit der Univ. Mainz)

2015 - 2016

Lehrkraft für besondere Aufgaben an der Hochschule Bonn-Rhein-Sieg

2013 - 2015

Studium der Informatik mit Schwerpunkt Medizininformatik an der Hochschule Bonn-Rhein-Sieg (Abschluss: M.Sc.)

2011 - 2013

Studium der Biomathematik am Rhein-Ahr-Campus Remagen (Hochschule Koblenz; Abschluss: B.Sc.)

2008 - 2011

Studium der reinen Mathematik mit Nebenfach Philosophie an der Univ. Bonn

Research Projects

eTa - efficient transportation alternatives

The development of sustainable electromobility is one of the social challenges our time, which is considered in the research project eTa. The energy efficiency of vehicles is addressed in aerodynamic projects and optimized operating strategies. In particular, non-classic vehicle concepts are in focus. Alternative mobility concepts based on non-fossil fuels need new supply structures. The optimized expansion of the loading infrastructure is therefore another issue. But even the best mobility concept is useless if it is not accepted by society and implemented by politics and business. Therefore, acceptance questions are a central element of eTa, which will be further developed. The following areas are addressed primarily by the need to reduce energy consumption: Efficiency of the vehicles Alternative mobility concepts Efficiency of mobility concepts Technical acceptance In particular, these are questions which arise only from the combined consideration of these subject areas and are usually not fully answered in classical manner. Examples of this are optimization of hybrid controls for muscle-electric hybrid light vehicles and study of the aerodynamics of ultralight vehicles where results of the classic wind tunnel tests often do not correspond to the results of the practice. Other topics that we are dealing with are predictive operational strategies for electric combustion hybrid vehicles and loss optimization, optimization of multi-stage placement of charging stations, acceptance of alternative mobility concepts.

Project management at the H-BRS

Prof. Dr Alexander Asteroth


  • Alexander Asteroth, Melanie Ludwig, und Kevin Bach. Probabilistic Performance Profiling. In Proceedings of the 12th International Symposium on Computer Science in Sport (IACSS 2019). Band 1028 in Advances in Intelligent Systems and Computing, Seiten 123–131. Springer Nature Switzerland AG, 2020.
  • Melanie Ludwig, Harald G. Grohganz, und Alexander Asteroth. A Convolution Model for Prediction of Physiological Responses to Physical Exercises. In Sport Science Research and Technology Support Information (icSPORTS 2016/2017), Band 975 in Communications in Computer and Information Science, Seiten 18–35. Springer Nature Switzerland AG, 2019.
  • Melanie Ludwig, Alexander Asteroth, Christian Rasche, und Mark Pfeiffer. Including the Past: Performance Modeling Using a Preload Concept by Means of the Fitness-Fatigue-Model. International Journal of Computer Science in Sport, 18(1):115–134, 2019.
  • Alexander Asteroth, und Melanie Ludwig. A Probabilisitc Model of Maximal Mean  Performance. 12th International Symposium on Computer Science in Sport (IACSS 2019), pages 6-7
  • Melanie Ludwig, Katrin Hoffmann, Stefan Endler, Alexander Asteroth, und Josef Wiemeyer. Measurement, Prediction, and Control of Individual Heart Rate Responses to Exercise - Basics and Options forWearable Devices. Front. Physiol., 9(778), 2018.
  • Melanie Ludwig, und Alexander Asteroth. Preload for a More Reasonable Performance Prediction with the Fitness FatigueModel. In 22nd annual Congress of the European College of Sport Science (ECSS 2017).
  • Melanie Ludwig, Harald Grohganz, and Alexander Asteroth. A Convolution Model for Heart Rate Prediction in Physical Exercise. In Proceedings of the 4th International Congress on Sport Sciences Research and Technology Support (icSPORTS 2016), pages 157-164
  • Melanie Ludwig, David Schaefer, and Alexander Asteroth. Training Simulation with Nothing but Training Data - Simulating Performance based on Training Data Without the Help of Performance Diagnostics in a Laboratory. In Proceedings of the 4th International Congress on Sport Sciences Research and Technology Support (icSPORTS 2016), pages 75-82
  • Melanie Ludwig and Alexander Asteroth. Predicting performance from outdoor cycling training with the fitness-fatigue model. In Proceedings dvs-Workshop Modelling in Endurance Sports, pages 3–6. KOPS – The Institutional Repository of the University of Konstanz, 2016. URI:
  • Matthias Füller, Ashok Meenakshi Sundaram, Melanie Ludwig, Alexander Asteroth and Erwin Prassler. Modeling and Predicting the Human Heart Rate During Running Exercise, in Information and Communication Technologies for Ageing Well and e-Health, pages 106-125, Springer, 2015
  • David Schäfer, Alexander Asteroth, and Melanie Ludwig. Training plan evolution based on training models. International Symposium on Innovations in Intelligent Systems and Applications (INISTA), 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. 1st International Conference on Information and Communication Technologies for Ageing Well and e-Health (ICT4AgeingWell-2015), pages 106–117, 2015