About Me
I’m a Ph.D. student at the n-squared lab (FAU Erlangen-Nürnberg), specializing in restoring hand function for individuals with neuromuscular impairments. My research focuses on developing intelligent neural interfacing systems that decode motor intent using electromyography. By integrating neurophysiology, machine learning, and user-centered design, I strive to bridge the gap between cutting-edge research and clinical applications to enhance quality of life.
Interests
- Neural Interfacing
- Hand Motor Control
- Electrophysiology
- Machine/Deep/Manifold Learning
Education
PhD (not yet) AI in Med. Eng.
MSc & BSc in Med. Eng.
Work Highlights
Where I Was (besides the lab)
Publications
(2024).
Identification of Spared and Proportionally Controllable Hand Motor Dimensions in Motor Complete Spinal Cord Injuries Using Latent Manifold Analysis.
IEEE Trans. Neural Syst. Rehabil. Eng..
(2024).
MyoGestic: EMG Interfacing Framework for Decoding Multiple Spared Degrees of Freedom of the Hand in Individuals with Neural Lesions.
arXiv.
(2024).
Bridging the Gap between Experimental Control and Ecological Validity in Human Sensorimotor Science.
J. Physiol..
(2024).
Learning a Hand Model from Dynamic Movements Using High-Density EMG and Convolutional Neural Networks.
IEEE Trans. Biomed. Eng..
(2024).
Analysis of Embedded GPU Architectures for AI in Neuromuscular Applications.
IADIS Int. J. Comput. Sci. Inf. Syst..