Jonas Müller
Jonas Müller, M. Sc.

Department Artificial Intelligence in Biomedical Engineering (AIBE)
Lehrstuhl für Maschinelles Lernen und Datenanalytik
Carl-Thiersch-Straße 2b
91052 Erlangen
- Email: jonas.leo.mueller@fau.de
since 11/2023 | PhD Candidate
Machine Learning and Data Analytics Lab, |
10/2023-11/2023 | Internship
Scaltel GmbH & Co. KG., Waltenhofen Application of Artificial Intelligence in Network Security Systems |
11/2020-06/2023 | M.Sc. in Cognitive Science
University of Tübingen, |
05/2022-02/2023 | Artificial Intelligence Expert
Bosch-Siemens Home Appliances GmbH, Munich Topics: Consulting, Machine Learning Tool Development and Maintenance |
02/2022-11/2022 | Internship,
Cluster of Excellence “Machine Learning” University of Tübingen, Topics: Evolutionary Algorithms and Bayesian Reinforcement Learning |
02/2022-05/2022 | Scientific Assistant
Leibniz Institut für Wissensmedien, |
02/2021-05/2022 | Scientific Assistant
Department of Social Cognition and Decision Making, |
10/2017-06/2020 | B.Sc. in Psychology
Bachelor’s Thesis: “Adaptive Toolbox oder Adjustable Spanner? Eine empirische Testung der beiden Paradigmen der Entscheidungsforschung durch eine konzeptuelle Replikationsstudie (Söllner & Bröder, 2016) im Zusammenhang mit Strategieauswahl, Informationssuche und Zuversicht in Entscheidungen” |
2025
- Engel L., Müller J., Rendon EJF., Dorschky E., Krauß D., Ullmann I., Eskofier B., Vossiek M.:
Advanced Millimeter Wave Radar-Based Human Pose Estimation Enabled by a Deep Learning Neural Network Trained With Optical Motion Capture Ground Truth Data
In: IEEE Journal of Microwaves (2025), p. 1-15
ISSN: 2692-8388
DOI: 10.1109/JMW.2025.3535525
BibTeX: Download
2024
- Müller J., Krauß D., Engel L., Vossiek M., Eskofier B., Dorschky E.:
End-to-End Learning for Human Pose Estimation from Raw Millimeter Wave Radar Data
Asilomar Conference on Signals, Systems, and Computers
BibTeX: Download
2023
- Braun R, Lensch PA, Ludwig N:
Glacier Movement Prediction with Attention-based Recurrent Neural Networks and Satellite Data
NeurIPS 2023 Workshop on Tackling Climate Change with Machine Learning: Blending New and Existing Knowledge Systems (New Orleans, 10. December 2023 - 16. December 2023)
BibTeX: Download
No awards found.
Scrum Master in the Innovation Lab for Wearable and Ubiquitous Computing
Year | Name | Title |
2023 | Lukas Böhm | Developing New Approaches For Measuring Invariances Between Models Using Model Metamers (co-supervision) (Master’s Thesis) |