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
Curriculum Vitae
| 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)” |
Research Projects
Open Theses / Student Projects
https://www.mad.tf.fau.de/2023/03/23/id-2320/
Publications
2023
- , , , :
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
- , , , :
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