Zimmermann, Roland S. (2017). Prediction spatio-temporal dynamics using reservoir computing.
- M.Sc. in Physics, Georg-August University of Göttingen, 2019 (expected).
Average grade 1.0 (best 2%)
- B.Sc. in Physics with distinction, Georg-August University of Göttingen, 2017.
Average grade 1.1 (best 1%)
Mar 2019 - Today: Master Thesis, Bethgelab at University of Tübingen, Tübingen
Continued research on adversarial examples and robust algorithms based on generative models for Computer Vision tasks.
Nov 2018 - Feb 2019: Intern: Machine Learning, Volkswagen Group Research, Wolfsburg
Research on adversarial examples and model stability in Computer Vision tasks.
Aug 2018 - Oct 2018: Junior Research Assitant, Advanced Digital Sciences Center, Singapore
Research on Computer Vision and Natural Language Processing techniques using Deep Learning to perform visual and auditory emotion recognition using PyTorch and TensorFlow.
Mar 2018 - Aug 2019: Intern: Machine Learning, BMW CarIT GmbH, Ulm
Development of Deep Learning/Machine Learning approaches for Computer Vision tasks in an automotive context using TensorFlow, e.g. instance segmentation/tracking and scene recognition.
Aug 2017 - Sep 2017: Intern: Reinforcement Learning, Universidad del Pais Vasco,, San Sebastian
Implementation and evaluation of (Deep) Reinforcement Learning algorithms in an open-source framework written in C++.
- TensorFlow, Keras, PyTorch
- Jenkins, Docker
- Programming languages
Zimmermann, R. S. and Siems, J. N. (2018). Faster Training of Mask R-CNN by Focusing on Instance Boundaries. arXiv preprint arXiv:1809.07069.
Zimmermann, R. S. and Parlitz, U. (2018). Observing spatio-temporal dynamics of excitable media using reservoir computing. Chaos: An Interdisciplinary Journal of Nonlinear Science, 28(4), 043118.
Parlitz, U. and Zimmermann, R. S. , Herzog, S. and Isenseee, J. and Datseris, G. (2018). Predicting and Observing Chaotic Dynamics in Excitable Media Using Machine Learning. CinC 2018, Maastrich.
- TA for Physics IV: Atom and Quantum Physics.
- TA for Mathematical Methods in Physics.
- TA for lab course Physics II: Electricty.
Scholarships & Awards
- 2017, 2018: Research Internships in Science and Engineering Worldwide.
Merit-based research scholarship awarded by the German Academic Exchange Service (DAAD).
- 2017, 2018: Lower Saxony Scholarship.
Merit-based scholarship funded by the Lower Saxony Ministry of Science and Culture.