Profile

I am a passionate researcher with a focus on data-driven modeling and machine learning. My research interests include surrogate modeling, surrogate-based optimization, data-driven modeling, and generative models. With a background in mechanical engineering and a strong work ethic developed through my years as a competitive swimmer, I bring a unique perspective to my research. I completed my bachelor’s studies through a dual study system with BASF, Germany’s largest chemical company, and finished my master’s studies on the topic of reduced order modeling and optimal flow control. I have also published a student project on the generation of synthetic ground penetrating radargrams using generative adversarial networks (GANs). I am proficient in programming with Python and have a growing enthusiasm for the rising popularity of Julia in my current work on surrogate-based optimization. Thank you for visiting my profile and feel free to reach out for further collaboration or inquiries.

Talks

• Multi-Fidelity Aerodynamic Design Optimization Framework using Gradient Asissted
  Surrogate Modeling, EUROGEN 2023, 02.06.2023, Crete, Greece.
• Trailing Edge Noise Reduction by Porous Treatment using Derivative-Free Optimization, Scientific Computing Seminar, 05.01.2023, Kaiserslautern, Germany.
• Flow Control via Reduced Order Models, Scientific Computing Seminar, 18.11.2021, Kaiserslautern, Germany.
• Reduced Order Modeling and Nonlinear System Identification Techniques for Fluid Dynamics, Scientific Computing Seminar, 22.04.2021, Kaiserslautern, Germany.

Publications

@misc{CRKGY2023,

title = {Data-driven aerodynamic shape design with distributionally robust optimization approaches},

author = {L. Chen, J. Rottmayer, L. Kusch, N.R. Gauger, Y. Ye},

url = {https://arxiv.org/pdf/2310.08931.pdf},

year  = {2023},

date = {2023-10-13},

urldate = {2023-10-13},

howpublished = {arXiv:2310.08931},

keywords = {},

pubstate = {published},

tppubtype = {misc}

}

@misc{nokey,

title = {Trailing-Edge Noise Reduction using Porous Treatment and Surrogate-based Global Optimization},

author = {J. Rottmayer, E. Özkaya, S. Satcunanathan, B. Y. Zhou, M. Aehle, N. R. Gauger, M. Meinke, W. Schröder, S. Pullin

},

url = {https://arxiv.org/abs/2301.13047},

year  = {2023},

date = {2023-01-30},

urldate = {2023-01-30},

howpublished = {arXiv:2301.13047},

keywords = {},

pubstate = {published},

tppubtype = {misc}

}

@conference{nokey,

title = {GPR-GANs: Generation of Synthetic Ground Penetrating Radargrams Using Generative Adversarial Networks},

author = {A. Fazeel, J. Rottmayer, R.Mehta and N. Bajcinca},

url = {https://ieeexplore.ieee.org/document/9843171},

doi = {10.1109/IWAGPR50767.2021.9843171},

year  = {2021},

date = {2021-00-00},

booktitle = {2021 11th International Workshop on Advanced Ground Penetrating Radar (IWAGPR)},

keywords = {},

pubstate = {published},

tppubtype = {conference}

}