Hamid Moradi | MaD Lab

Hamid Moradi, M. Sc.

Researcher & PhD Candidate

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

Room 01.012
Carl-Thiersch-Straße 2b
91052 Erlangen

Phone number: +49 9131 85-27921
Email: hamid.moradi@fau.de

LinkedIn: Page of Hamid Moradi

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

PD Symptom Detection and Prediction

2024

Küderle A., Ullrich M., Roth N., Ollenschläger M., Ibrahim A., Moradi H., Richer R., Seifer AK., Zürl M., Simpetru R., Herzer L., Prossel D., Kluge F., Eskofier B.:
Gaitmap – An Open Ecosystem for IMU-based Human Gait Analysis and Algorithm Benchmarking
In: IEEE Open Journal of Engineering in Medicine and Biology (2024), p. 1-10
DOI: 10.1109/OJEMB.2024.3356791
BibTeX: Download
Moradi H., Flaucher M., Ott T., Ringgold V., Eskofier B., Leutheuser H.:
Can HCI Lead the Way? Workshop on Exploring Conscious AI
In: Mensch und Computer - Workshopband 2024, Gesellschaft für Informatik e.V., 2024
DOI: 10.18420/muc2024-mci-ws12-113
BibTeX: Download
(Conference report)

2023

Moradi H., Hannink J., Stallforth S., Gladow T., Ringbauer S., Mayr M., Winkler J., Klucken J., Eskofier B.:
Monitoring medication optimization in patients with Parkinson’s disease
2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (Sydney, 24. July 2023 - 27. July 2023)
In: 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2023
DOI: 10.1109/embc40787.2023.10340618
BibTeX: Download
Seifer AK., Dorschky E., Küderle A., Moradi H., Hannemann R., Eskofier B.:
EarGait: Estimation of Temporal Gait Parameters from Hearing Aid Integrated Inertial Sensors
In: Sensors 23 (2023), Article No.: 6565
ISSN: 1424-8220
DOI: 10.3390/s23146565
URL: https://www.mdpi.com/1424-8220/23/14/6565
BibTeX: Download

2022

Moradi H., Roth N., Seifer AK., Eskofier B.:
Detection of distorted gait and wearing-off phenomenon in Parkinson's disease patients during Levodopa therapy
4th IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks (BSN) / 18th IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) (Ioannina)
In: 2022 IEEE-EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL AND HEALTH INFORMATICS (BHI) JOINTLY ORGANISED WITH THE IEEE-EMBS INTERNATIONAL CONFERENCE ON WEARABLE AND IMPLANTABLE BODY SENSOR NETWORKS (BSN'22), NEW YORK: 2022
DOI: 10.1109/BHI56158.2022.9926873
BibTeX: Download