Contact
Pfaffenwaldring 7
70569 Stuttgart
Deutschland
Room: 0.154
Subject
Senior Research Engineer | Mechatronics & Biomedical Engineering
The development of advanced algorithms and applications for robotics and medical devices, with a focus on neural network-based algorithms, signal processing, and medical diagnostics.
Core Expertise
Machine & Deep Learning Algorithms l Signal Processing l Robotic Applications
2024
Keleş, A. D., & Yucesoy, C. A. (2024). The Development of LSTM-based Ankle Position and Moment Estimator for Powered Ankle Prosthesis Using Nonnormalized SEMG and Feature Inputs. VPH Conference, Stuttgart, Germany.
Keleş, A. D., Klotz T., Marquetand J., & Röhrle, O. (2024). The Development of the Phantom Fiber to Mimick Muscle Fibre Activity for the Validation of Magnetomyography Sensors. VPH Conference, Stuttgart, Germany.
2023
Keleş, A. D., Türksoy R.T. & Yucesoy, C. A. (2023). The Use of Nonnormalized Surface EMG and Feature Inputs For LSTM-Based Powered Ankle Prosthesis Control Algorithm Development. Frontiers in Neuroscience, 17, 1662-453X, DOI: 10.3389/fnins.2023.1158280
2020
Keleş, A. D., & Yucesoy, C. A. (2020). Development of a Neural Network Based Control Algorithm For Powered Ankle Prosthesis. Journal of Biomechanics, 113, 110087, DOI: 10.1016/j.jbiomech.2020.110087.
2019
Keleş, A. D., & Yucesoy, C. A. (2019). Developing a Neural Network-Based Active Ankle Prothesis Algorithm That Minimizes EMG And Eliminates Force Sensors. Gait & Posture, 73, Supplement 1, 340-341, DOI: 10.1016/j.gaitpost.2019.07.338.
2018
Keleş, A. D., & Yucesoy, C. A. (2018). A Neural Network Based Active Ankle Prosthesis Algorithm to Minimize Sensor Requirements Accommodating Different Amputation Levels. 9th Biomedical Congress, Eskişehir, Turkey.
Keleş, A. D., & Yucesoy, C. A. (2018). Development of a Neural Network Based Active Ankle Prosthesis Algorithm to Address Amputation Level and Minimum Sensor Requirements. 8th World Congress of Biomechanics (WCB), Dublin, Ireland.
2017
Keleş, A. D., & Yucesoy, C. A. (2017). Development of Artificial Neural Network Based Active Ankle Prosthesis Algorithm Using Gait Analysis Data. 21st National Biomedical Engineering Meeting, Istanbul, Turkey, DOI: 10.1109/BIYOMUT.2017.8478881.
- Ph.D. in Biomedical Engineering (2023): sEMG-based ankle position and moment prediction in silico: neural network approach and muscle selection.
- M.Sc. in Biomedical Engineering (2017): Developing an underlying motion planning algorithm for myoelectric controlled robotic leg prostheses based on gait analysis.
- B.Sc. in Mechatronics Engineering (2013): The development of the two degrees of freedom upper limb rehabilitation robot.