Hamid Moradi

Hamid Moradi, M. Sc.

Researcher & PhD Candidate

Department Artificial Intelligence in Biomedical Engineering (AIBE)
Lehrstuhl für Maschinelles Lernen und Datenanalytik

Room: Room 01.012
Carl-Thiersch-Straße 2b
91052 Erlangen

Academic CV

Since May/2021 Ph.D. Candidate,

MaD-Lab, FAU

2017 – 2020 M.Sc. Electrical Engineering,

Universität Rostock, Rostock, Germany

Thesis: “Seizure Prediction; An Application of Artificial Intelligence in Detection of the Preictal Stage”

2014 – 2016 Research Associate,

Institute for Cognitive Science Studies, Tehran, Iran

2009 – 2013 B. Sc. Electrical Engineering (Electronics),
Azad University Tehran Central Branch, Tehran, Iran

Research Projects

Project leader: ,
Project members:
Start date: 1. May 2021


Parkinson's disease after Alzheimer's is the second most common neurodegenerative disease which mainly affects the patient's mobility and produces gait insecurity and impairment. As patients experience various, asymmetrical and heterogeneous gait characteristics, personalized medication should be at the center of attention in controlling motor complications in Parkinson's patients. potentially, inertial measurement units (IMUs) can be utilized for long-term observation of the disease progress and estimating gait parameters. This project is dedicated to detecting and possibly predicting the motor symptoms of Parkinson's disease such as Bradykinesia, Dyskinesia, and the freeze of gait. This also includes the improvement of the existing gait analysis algorithms to fit the parkinsonian gait more accurately, which is the basis of symptom detection.