IRTG Modern Inverse Problems (MIP)

Ella Steins, M.Sc.

16. September 2020 | von


Aachen Institute for Advanced Study in Computational Engineering Science (AICES) RWTH Aachen Schinkelstr. 2 52062 Aachen Office: Room 424 Phone: +49 241 80 99136 Email: steins@aices.rwth-aachen.de    


09/2020 – Current: Current PhD. Candidate, IRTG at RWTH Aachen

03/2018 – 06/2020: M.Sc. Physical Engineering Science, Technical University of Berlin, Germany

09/2013 – 03/2017 B.Sc. Mechanical Engineering, University of Applied Science Mannheim, Mannheim


Professional Career

03/2015 – 07/2015, 03/2016 – 07/2016 Student Assistant, Institute for Applied Fluid Dynamics and Thermodynamics, University of Applied Science Mannheim, Mannheim, GE
09/2015 – 02/2016 Mechanical Engineering Internship, University of Maryland, MD, USA
08/2016 – 03/2017 Research Scholar, University of Miami, Fl, USA
07/2019 – 06/2020 Student Assistant, Institute for Fluid Dynamics and Technical Acoustics, TU Berlin, Berlin, GE
11/2019 – 05/2020 Research Scholar, Max-Planck-Institute for Colloids and Interfaces, Potsdam, GE

Research Interests

Machine Learning, Model-Order Reduction, Multi-scale Modeling, Transpiration Cooling, Uncertainty Quantification.



  • Holness, A., Seins, E., Bruck, H., Peckerara, M., & Gupta, S.K. (2016). Performance Characterization of Multifunctional Wings With Integrated Flexible Batteries for Flapping Wing Unmanned Air Vehicles. Proceedings of the 40th Mechanisms and Robotics Conference, Volume 5, Charlotte, North Carolina, USA. DOI: doi.org/10.1115/DETC2016-60379
  • – Keles, B., Steins, E., Erkoc, M. (2017). Project Scheduling for MRO Work Orders. In: K. Coperich, E. Cudney, H. Nembhard, (Eds), Proceedings of the 2017 Industrial and Systems Engineering Conference (pp. 1944-1949). Pittsburgh, Pennsylvania, USA.

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