Markus Gambietz
Markus Gambietz, M. Sc.
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)” |
https://www.mad.tf.fau.de/2023/03/23/id-2320/
2024
Unobtrusive Gait Reconstructions using Radar-based Optimal Control Simulations
Asilomar Conference on Signals, Systems, and Computers
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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
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Multiresolution point cloud compression for real-time visualization and streaming of large 3D datasets
Asilomar Conferense on Signals, Systems, and Computers
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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
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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
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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)
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