Eva Dorschky
Dr.-Ing. Eva Dorschky
PostDoc and Group Leader
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 85-27890
- Email: eva.dorschky@fau.de
- Website: https://www.mad.tf.fau.de/person/eva-dorschky/
Hello!
I am a postdoc at the Machine Learning and Data Analytics Lab at FAU. I am currently leading the Sports Analytics group and contributing to the BioMAC group and EmpkinS CRC. My research interests are in the field of physics-informed machine learning and optimal control.
Beyond this, my special interest lies in the application of AI for climate change mitigation. I am currently teaching the Green AI seminar in which we look into approaches to combat climate change using AI and the development of environmentally friendly and sustainable algorithms.
| Since 02/2022 |
Research Group Leader Machine Learning and Data Analytics Lab, FAU |
| 10/2022 | Dr.-Ing. in Computer Science Friedrich-Alexander-University Erlangen-Nuernberg |
| 05/2017 – 10/2022 | Research Associate Machine Learning and Data Analytics Lab, FAU |
| 08/2014 – 05/2017 | Research Associate Pattern Recognition Lab, FAU |
| 10/2012 – 08/2014 | Masters of Science in Electrical Engineering Friedrich-Alexander-University Erlangen-Nuernberg |
| 10/2011-04/2012 | Research Internship Industrial Research Limited, Wellington, New Zealand |
| 10/2008 – 10/2012 | Bachelor of Science in Electrical Engineering Friedrich-Alexander-University Erlangen-Nuernberg |
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
- 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 - Lennartz R., Stöve M., Talar K., Kumarampulakkal N., Dorschky E., Witte M., Eskofier B.:
The Influence of Gamification on Motivation and Cardiac Variables in Soccer
29th Annual Congress of the European College of Sport Science (Glasgow, Scotland, UK, 2. July 2024 - 5. July 2024)
In: Book of Abstracts of the 29th Annual Congress of the European College of Sport Science 2024
URL: https://www.ecss.mobi/DATA/CONGRESSES/GLASGOW_2024/DOCUMENTS/2024_BOA_Web.pdf
BibTeX: Download - Lüer L., Peters IM., Smith AS., Dorschky E., Eskofier B., Liers-Bergmann F., Franke J., Sjarov M., Brossog M., Guldi DM., Maier A., Brabec C.:
A digital twin to overcome long-time challenges in photovoltaics
In: Joule 8 (2024), p. 1-17
ISSN: 2542-4351
DOI: 10.1016/j.joule.2023.12.010
BibTeX: Download - 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 - Nitschke M., Dorschky E., Leyendecker S., Eskofier B., Koelewijn A.:
Estimating 3D kinematics and kinetics from virtual inertial sensor data through musculoskeletal movement simulations
In: Frontiers in Bioengineering and Biotechnology 12 (2024)
ISSN: 2296-4185
DOI: 10.3389/fbioe.2024.1285845
BibTeX: Download - Seifer AK., Kuderle A., Dorschky E., Moradi H., Hannemann R., Eskofier B.:
Step Length and Gait Speed Estimation using A Hearing Aid Integrated Accelerometer: A Comparison of Different Algorithms
In: IEEE Journal of Biomedical and Health Informatics (2024)
ISSN: 2168-2194
DOI: 10.1109/JBHI.2024.3454824
BibTeX: Download
2023
- Bachhuber S., Lehmann D., Dorschky E., Koelewijn A., Seel T., Weygers I.:
Plug-and-Play Sparse Inertial Motion Tracking With Sim-to-Real Transfer
In: IEEE Sensors Letters 7 (2023), Article No.: 7004904
ISSN: 2475-1472
DOI: 10.1109/LSENS.2023.3307122
BibTeX: Download - Dorschky E.:
Optimal Control and Machine Learning in Biomechanics: Hybrid Models for Inertial Sensor-based Gait Analysis and Virtual Footwear Testing (Dissertation, 2023)
URL: https://opus4.kobv.de/opus4-fau/frontdoor/index/index/docId/21325
BibTeX: Download - Dorschky E., Camomilla V., Davis J., Federolf P., Reenalda J., Koelewijn A.:
Perspective on “in the wild” movement analysis using machine learning
In: Human Movement Science 87 (2023), Article No.: 103042
ISSN: 0167-9457
DOI: 10.1016/j.humov.2022.103042
BibTeX: Download - Seifer AK., Dorschky E., Küderle A., Moradi H., Hannemann R., Eskofier B.:
EarGait: Estimation of Temporal Gait Parameters from Hearing Aid Integrated Inertial Sensors
In: Sensors 23 (2023), Article No.: 6565
ISSN: 1424-8220
DOI: 10.3390/s23146565
URL: https://www.mdpi.com/1424-8220/23/14/6565
BibTeX: Download
2022
- Nitschke M., Mayer M., Dorschky E., Koelewijn A.:
How many sensors are enough? Trajectory optimization using sparse inertial sensor sets
9th World Congress of Biomechanics 2022 Taipei (Taipei, 10. July 2022 - 14. July 2022)
URL: https://www.youtube.com/watch?v=TznVCgK4DF0
BibTeX: Download
2021
- Dorschky E., Nitschke M., van den Bogert AJ., Koelewijn A., Eskofier B.:
Machine Learning from Biomechanical SimulaIons for an "in the Wild" Movement Analysis
6th International Congress on Complex Systems in Sports (ICCSS) (Mainz, Germany, 15. September 2021 - 17. September 2021)
BibTeX: Download - Nitschke M., Dorschky E., Eskofier B., Koelewijn A., van den Bogert AJ.:
Trajectory Optimization of a 3D Musculoskeletal Model with Inertial Sensors
XXVIII Congress of the International Society of Biomechanics (ISB) (Online, 25. July 2021 - 29. July 2021)
URL: https://www.mad.tf.fau.de/files/2021/07/nitschke_isb_2021_abstract.pdf
BibTeX: Download - Nitschke M., Luckfiel T., Schlarb H., Dorschky E., Koelewijn A.:
Prediction of the effect of midsole stiffness and energy return using trajectory optimisation
15th biennial Footwear Biomechanics Symposium (Online, 21. July 2021 - 23. July 2021)
In: Footwear Science 2021
DOI: 10.1080/19424280.2021.1917684
URL: https://www.mad.tf.fau.de/files/2023/05/FBS_2021_SoftvsEnergy_Submission_AOM_Declaration.pdf
BibTeX: Download
2020
- Dorschky E., Nitschke M., Martindale C., van den Bogert AJ., Koelewijn A., Eskofier B.:
CNN-Based Estimation of Sagittal Plane Walking and Running Biomechanics From Measured and Simulated Inertial Sensor Data
In: Frontiers in Bioengineering and Biotechnology 8 (2020), p. 1-14
ISSN: 2296-4185
DOI: 10.3389/fbioe.2020.00604
BibTeX: Download - Nitschke M., Dorschky E., Heinrich D., Schlarb H., Eskofier B., Koelewijn A., van den Bogert AJ.:
Efficient trajectory optimization for curved running using a 3D musculoskeletal model with implicit dynamics
In: Scientific Reports (2020), Article No.: 17655
ISSN: 2045-2322
DOI: 10.1038/s41598-020-73856-w
URL: https://www.nature.com/articles/s41598-020-73856-w
BibTeX: Download
2019
- Dorschky E., Krüger D., Kurfess N., Schlarb H., Wartzack S., Eskofier B., van den Bogert AJ.:
Optimal control simulation predicts effects of midsole materials on energy cost of running
In: Computer Methods in Biomechanics and Biomedical Engineering (2019)
ISSN: 1025-5842
DOI: 10.1080/10255842.2019.1601179
URL: https://www.mad.tf.fau.de/files/2019/08/201904_CMBBE_Dorschky.pdf
BibTeX: Download - Dorschky E., Nitschke M., Seifer AK., van den Bogert AJ., Eskofier B.:
Estimation of Gait Kinematics and Kinetics from Inertial Sensor Data Using Optimal Control of Musculoskeletal Models
In: Journal of Biomechanics (2019)
ISSN: 0021-9290
DOI: 10.1016/j.jbiomech.2019.07.022
URL: https://www.mad.tf.fau.de/files/2019/08/201908_JBiomech_Dorschky.pdf
BibTeX: Download - Nitschke M., Dorschky E., Schlarb H., Eskofier B., van den Bogert AJ., Koelewijn A.:
Turning a corner in predictive musculoskeletal simulations of gait using implicit dynamics
Dynamic Walking 2019 (Canmore, Alberta, 3. June 2019 - 6. June 2019)
In: 14th Annual Dynamic Walking Conference 2019 2019
URL: https://www.mad.tf.fau.de/files/2019/05/Nitschke_Dynamic_Walking.pdf
BibTeX: Download
2018
- Koelewijn A., Dorschky E., van den Bogert AJ.:
A metabolic energy expenditure model with a continuous first derivative and its application to predictive simulations of gait
In: Computer Methods in Biomechanics and Biomedical Engineering 21 (2018), p. 521 - 531
ISSN: 1025-5842
DOI: 10.1080/10255842.2018.1490954
BibTeX: Download - Nitschke M., Dorschky E., Seifer AK., Schlarb H., van den Bogert AJ., Eskofier B.:
Optimal Control Simulation of a 2D Biomechanical Model for Sensor-Based Gait Analysis
Summer School "Humans in Motion" (Heidelberg, 23. September 2018 - 28. September 2018)
URL: https://www.mad.tf.fau.de/files/2018/10/2018_09_18_Nitschke_HumansInMotion.pdf
BibTeX: Download
2016
- Dorschky E., Kurfess N., Krüger D., Schlarb H., Eskofier B., van den Bogert AJ.:
Predicting the Effects of Midsole Materials on Running Using Optimal Control Simulation
Dynamic Walking 2016 (Holly, Michigan, 4. June 2016 - 7. June 2016)
BibTeX: Download - Reymann M., Dorschky E., Groh B., Martindale C., Blank P., Eskofier B.:
Blood glucose level prediction based on support vector regression using mobile platforms
38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (Orlando, Florida, USA, 16. August 2016 - 19. August 2016)
In: 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2016
DOI: 10.1109/EMBC.2016.7591358
URL: https://www.mad.tf.fau.de/files/2017/06/2016-Reymann-EMBC-BGL.pdf
BibTeX: Download - Richer R., Groh B., Blank P., Dorschky E., Martindale C., Klucken J., Eskofier B.:
Unobtrusive Real-time Heart Rate Variability Analysis for the Detection of Orthostatic Dysregulation
2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN) (San Francisco, CA, 14. June 2016 - 17. June 2016)
In: IEEE (ed.): 2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN) 2016
DOI: 10.1109/BSN.2016.7516257
URL: https://www.mad.tf.fau.de/files/2017/06/2016-Richer-BSN-URH.pdf
BibTeX: Download - Saffoury R., Blank P., Seßner J., Groh B., Martindale C., Dorschky E., Franke J., Eskofier B.:
Blind Path Obstacle Detector using Smartphone Camera and Line Laser Emitter
International Conference on Technology and Innovation in Sports, Health and Wellbeing (TISHW) (Vila Real, Portugal, 1. December 2016 - 3. December 2016)
DOI: 10.1109/TISHW.2016.7847770
URL: https://www.mad.tf.fau.de/files/2017/06/2016-Saffoury-BPO.pdf
BibTeX: Download
2015
- Dorschky E., Schuldhaus D., Koerger H., Eskofier B.:
A framework for early event detection for wearable systems
International Symposium on Wearable Computers (Osaka)
In: Proceedings of the 2015 ACM International Symposium on Wearable Computers 2015
BibTeX: Download - Dorschky E., van den Bogert AJ., Schlarb H., Eskofier B.:
Predictive Musculoskeletal Simulation of Uphill and Downhill Running
20th Annual Congress of the European College of Sport Science (Malmö - Schweden, 24. June 2015 - 27. June 2015)
In: Book of Abstracts of the 20th Annual Congress of the European College of Sport Science 2015
BibTeX: Download - Schuldhaus D., Zwick C., Koerger H., Dorschky E., Kirk R., Eskofier B.:
Inertial Sensor-Based Approach for Shot/Pass Classification During a Soccer Match
KDD Workshop on Large-Scale Sports Analytics 2015 (Sydney, 10. August 2015 - 13. August 2015)
In: SIGKDD (ed.): 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2015
BibTeX: Download
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