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IRTG Modern Inverse Problems (MIP)

Ella Steins, M.Sc.

16. September 2020 | von

Contact

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

 

 

Education

09/2020 – Current: Ph.D. Candidate, IRTG at RWTH Aachen University, Germany

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

 

Publications

  1. Performance Characterization of Multifunctional Wings With Integrated Flexible Batteries for Flapping Wing Unmanned Air Vehicles
    Holness, A., Seins, E., Bruck, H., Peckerara, M., & Gupta, S.K. (2016) 
    Proceedings of the 40th Mechanisms and Robotics Conference, Volume 5, Charlotte, North Carolina, USA. DOI: doi.org/10.1115/DETC2016-60379
  2. Project Scheduling for MRO Work Orders
    – Keles, B., Steins, E., Erkoc, M. (2017)
    In: K. Coperich, E. Cudney, H. Nembhard, (Eds), Proceedings of the 2017 Industrial and Systems Engineering Conference (pp. 1944-1949). Pittsburgh, Pennsylvania, US
  3. Probabilistic Constrained Bayesion Inversion for Transpiration Cooling
    E. Steins, T. Bui-Tanh, M. Herty and S. Müller
    Preprint, https://doi.org/10.48550/arXiv.2203.07122

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