Alzhraa Ahmed, M. Sc.
- Job title: PhD candidate
- Organization: Department of Computer Science
- Working group: Lehrstuhl für Informatik 14 (Maschinelles Lernen und Datenanalytik)
- Phone number: +49 9131 85 20287
- Email: alzhraa.ahmed@fau.de
- Address: Carl-Thiersch-Straße 2b
91052 ErlangenRoom 01.020
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.
- Marghny H. Mohammed, Alzhraa A. Mohammed, Khaled F. Hussian “3D SIFT Based Human Activity Recognition System for RGB-D and skeleton data”, International Journal of informatics and medical data processing (IJIMDP), 2017, vol.2, no.3, pp 25-38
- 09/2019 – Present: Postgraduate Scholarship at PhD Level from Egyptian Mission Sector