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
- 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 - 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 - Probabilistic Constrained Bayesion Inversion for Transpiration Cooling