Head of Division

Prof. Dr. Nils Strodthoff

Administrative Office

+49 (0)441 798-2772

Postal Address

Carl von Ossietzky University of Oldenburg
School VI Medicine and Health Services
Department of Health Services Research
Division AI4Health
Ammerländer Heerstr. 114-118
26129 Oldenburg

Visitor Address

Campus Haarentor, Building V04
Ammerländer Heerstraße 140
26129 Oldenburg

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Division AI4Health in December 2022

Prof. Dr. Nils Strodthoff

Professor for eHealth - Interpretable and explainable learning algorithms

Google Scholar profile
GitHub profile

Nils Strodthoff is heading the AI4Health Division within the Department Health Services Research as part of the School of Medicine and Health Sciences of the Carl von Ossietzky Universität Oldenburg. He studied physics at Georg-August-Universität Göttingen and Imperial College London (MSc 2009) from 2005 to 2009 and received the Dr. rer. nat. degree with distinction (summa cum laude) from Technische Universität Darmstadt in 2012. Focussing on non-perturbative quantum field theory, he held postdoctoral appointments at Heidelberg University from 2012 to 2015. He spent 2016-2017 at Lawrence Berkeley National Laboratory, USA funded by a DFG research fellowship. He switched fields and joined the machine learning group at Fraunhofer Heinrich Hertz Institute as a senior research scientist in 2017. He founded and led the Applied Machine Learning Group from January 2021 until November 2021 before joining Oldenburg University. He authored more than 35 peer-reviewed articles, presented at numerous international conferences, received scholarships from the Deutsche Studienstiftung and HGS-HIRe and was awarded the HGS-HIRe Excellence Award in 2011. His research interests cover self-supervised learning and quality aspect for machine learning algorithms as well as a broad range of applications mostly in the biomedical domain.


Dr. Mohammad Moulaeifard


Research Interests: analysis of PPG data, computer vision, sensor fusion

Juan Miguel Lopez Alcaraz

PhD Student

Research Interests:time series imputation, generative models (diffusion) for time series, interpretability for time series data

Tiezhi Wang

PhD Student

Research Interests:self-supervised learning, EEG/PSG data

Zahra Mansour

PhD Student

Research Interests: analysis of clinical audio data

Temesgen Mehari

PhD Student (external: Physikalisch-Technische Bundesanstalt Berlin)

Research Interests: Analysis of ECG data, quality criteria (robustness, interpretability) for ECG analysis algorithms, self-supervised learning

Hendrik Beck

MSc student

Research Interests: Detection of arrhythmias in long-term ECGs using deep neural networks

Nils Neukirch


Research interests: An exploration into concept-based explainable AI

Marie Kutscher

MSc student

Research interests: Detection of atrial fibrillation from PPG data with deep neural networks

(Changed: 31 Jan 2024)  | 
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