Markus Gambietz
Markus Gambietz, M. Sc.
Researcher & PhD Candidate
Carl-Thiersch-Straße 2b
91052 Erlangen
Department Artificial Intelligence in Biomedical Engineering (AIBE)
Lehrstuhl für Maschinelles Lernen und Datenanalytik
Carl-Thiersch-Straße 2b
91052 Erlangen
- Phone number: +49 9131 85-20288
- Email: markus.gambietz@fau.de
Machine Learning for Personalisation of Biomechanical Movement Simulations (C01)
Video: https://www.mad.tf.fau.de/research/projects/empkins-c01/embed/#?secret=W58vULyiv5#?secret=AJzV2NAUG5
| Since 10/2021 | Ph.D. Student Machine Learning and Data Analytics Lab at Friedrich-Alexander-University Erlangen-Nürnberg Topic: Machine Learning for Biomechanical Simulation |
| 10/2018 – 09/2021 | M.Sc. in Medical Engineering Friedrich-Alexander-University Erlangen-Nürnberg Master’s Thesis: “Sensitivity of metabolic energy expenditure estimations to the choice of musculoskeletal model in gait analysis (MaD)” |
| 09/2017 – 01/2018 |
Exchange at Shanghai Jiao Tong University |
| 09/2014 – 11/2018 | B. Sc. in Mechanical Engineering Technical University of Munich Bachelor’s Thesis: “Experimental Assessment of Process Scalability for Rotatory Clinching (utg)” |
Machine Learning for Personalisation of Biomechanical Movement Simulations (C01)
Video: https://www.mad.tf.fau.de/research/projects/empkins-c01/embed/#?secret=4Ynm2NpH7k#?secret=Hy6Aksnqoz
ID 2340: Approximate Inverse Optimal Control via Annealing and Warmstarts
Video: https://www.mad.tf.fau.de/2023/06/22/id-2340-approximate-inverse-optimal-control-via-annealing-and-warmstarts/embed/#?secret=QL386ohomL#?secret=uhPbGJ3JeT
https://www.mad.tf.fau.de/2023/03/23/id-2320/
2025
- Balbach S., Kolpak J., Dorn C., Brückner S., Schlechtweg N., Gambietz M., Koelewijn A., Vossiek M., Hagelauer A.:
A Miniaturized Flexible Surface Electromyography Sensor With an Integrated Localization Concept
In: IEEE Microwave Magazine 26 (2025), p. 47-59
ISSN: 1527-3342
DOI: 10.1109/MMM.2024.3494717
BibTeX: Download
2024
- Gambietz M., Dröge A., Schüßler C., Stahlke M., Wirth V., Miehling J., Koelewijn A.:
Unobtrusive Gait Reconstructions using Radar-based Optimal Control Simulations
Asilomar Conference on Signals, Systems, and Computers
BibTeX: Download - Krauß D., Engel L., Ott T., Bräunig J., Richer R., Gambietz M., Albrecht N., Hille EM., Ullmann I., Braun M., Dabrock P., Kölpin A., Koelewijn A., Eskofier B., Vossiek M.:
A Review and Tutorial on Machine Learning- Enabled Radar-Based Biomedical Monitoring
In: IEEE Open Journal of Engineering in Medicine and Biology (2024), p. 1-22
ISSN: 2644-1276
DOI: 10.1109/OJEMB.2024.3397208
BibTeX: Download - Kögel J., Huerta S., Gambietz M., Ullrich M., Heyde C., Dorschky E., Eskofier B.:
Clustering Runners’ Response to Different Midsole Stack Heights: A Field Study
In: Sensors 24 (2024), Article No.: 4694
ISSN: 1424-8220
DOI: 10.3390/s24144694
BibTeX: Download - Nguyen DT., Zieger D., Gambietz M., Koelewijn A., Stamminger M., Kaup A.:
Multiresolution point cloud compression for real-time visualization and streaming of large 3D datasets
Asilomar Conferense on Signals, Systems, and Computers
BibTeX: Download - Schlechtweg N., Brückner S., Gambietz M., Koelewijn A., Vossiek M.:
Time-Synchronized Joint Communication and Precise Wireless Localization of Multiple On-Body Sensor Nodes for Human Gait and Movement Measurement
Asilomar Conference on Signals, Systems, and Computers
BibTeX: Download
2023
- Gambietz M., Nitschke M., Miehling J., Koelewijn A.:
Contributing Components of Metabolic Energy Models to Metabolic Cost Estimations in Gait
In: IEEE Transactions on Biomedical Engineering (2023), p. 1-9
ISSN: 0018-9294
DOI: 10.1109/TBME.2023.3331271
BibTeX: Download
2022
- Gambietz M., Nitschke M., Miehling J., Koelewijn A.:
What should a metabolic energy model look like? Sensitivity of metabolic energy model parameters during gait
9th World Congress of Biomechanics 2022 Taipei (Taipei, 10. July 2022 - 14. July 2022)
BibTeX: Download