Alzhraa Ahmed
Alzhraa Ahmed, M. Sc.
Department Artificial Intelligence in Biomedical Engineering (AIBE)
Lehrstuhl für Maschinelles Lernen und Datenanalytik
Carl-Thiersch-Straße 2b
91052 Erlangen
- Phone number: +49 9131 85 20287
- Email: alzhraa.ahmed@fau.de
Research Focus
Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system that is most common in young adulthood resulting in different gait disorders. My research focuses on identifying biomarkers in the form of gait characteristics in patients with multiple sclerosis. Patients are equipped with inertial measurement units (IMU) from which objective spatio-temporal gait parameters can be obtained and analyzed. This can be used both for the assessment of the current state of the disease and for the prediction of the further course of the disease in the form of relapses. Furthermore, this could significantly slow down the course of the disease and possibly delay the accompanying mobility impairment over a very long period of time.
| since 10/2019 | PhD Candidate Machine Learning and Data Analytics Lab, Department of Computer Science Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) |
| 04/2014 – 10/2017 | M.Sc. in Computer Science Assiut University-Egypt Master’s Thesis: “Human Activity Recognition from RGB-D videos” |
| 09/2007 – 06/2011 | B.Sc. in Computer Science Assiut University-Egypt Bachelor’s Thesis: “Content based Image Retrieval (CBIR)” |
- Biomarkers for immunotherapy in multiple sclerosis patients.
2020
- , , , , , :
Inertial sensor-based gait parameters reflect patient-reported fatigue in multiple sclerosis
In: Journal of neuroEngineering and rehabilitation 17 (2020), Article No.: 165
ISSN: 1743-0003
DOI: 10.1186/s12984-020-00798-9
BibTeX: Download
- 09/2019 – Present: Postgraduate Scholarship at PhD Level from Egyptian Mission Sector