Heike Leutheuser

Dr.-Ing. Heike Leutheuser

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

Room: Room 01.015
Carl-Thiersch-Straße 2b
91052 Erlangen

Academic CV

  • Since 09/2022
    Postdoctoral research fellow at the Medical Data Science group, Institute for Machine Learning, ETH Zürich, Switzerland
  • Since 2022
    Postdoc and head of the Digital Health – Biosignals Group at the Machine Learning & Data Analytics Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany
  • 2021 – 2022
    Coordinator of the CRC 1483 EmpkinS integrated Research Training Group (iRTG), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany
  • 2019 – 2021
    Researcher at the Machine Learning & Data Analytics Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany
  • 2017 – 2022
    Director at the Central Institute of Medical Engineering (ZiMT), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany
  • 2019
    Ph.D. in computer science (Dr.-Ing.). Supervisor: Bjoern Eskofier
  • 2011 – 2019
    Ph.D. candidate at the Machine Learning & Data Analytics Lab (formerly Digital Sports Group), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany
  • 2016
    Visiting Student Researcher at the Mobilize Center and at the Department of Orthopaedic Surgery at Stanford University
  • 2006 – 2011
    Diplom in Physics (Dipl.-Phys. equivalent MSc.), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany
  • 2008
    Study abroad as Erasmus scholar at Imperial College London, UK

Student Theses

Year Name Title
(Ongoing) Michael Brock Refinement, Feasibility and Evaluation of an eHealth Application for Opioid Management in Palliative Care
(Master’s thesis)
(Ongoing) Nuria Barrios Campo Retrospective Analysis of Self-Entered Symptom Tracker Data, Usage and Corresponding Outcomes in a Consumer Pregnancy Application (Keleya)
(Master’s thesis)
(Ongoing) Jonas Gruber Influence of Different Stimulus Intensities of Cold Air on Driver Drowsiness
(Master’s Thesis)
12/2022 Sabrina Berzins Increasing Health Literacy through Patient-centered Knowledge Transfer within a Digital Health Application
(Master’s Thesis)
12/2022 Luisa Graf Cardiac Monitoring of Heart Failure Patients using Smartwatches
(Master’s Thesis)
12/2022 Siri Pflüger Analyzing the Health Status of Heart Failure Patients based on Telemonitoring Data using Machine Learning
(Master’s Thesis)
11/2022 Paul Maas Ubiquitous Investigation of Overall State of Health Using a Smart Toothbrush in Palliative Care
(Master’s thesis)
11/2022 Florian Prümer Motivational UI: Enhancing Adherence and Engagement of Heart Failure Patients within a Digital Health Application
(Master’s thesis)
10/2022 Elisabeth Gabler Fetal ReID: Deep Learning on Pregnancy Ultrasound Images
(Bachelor’s thesis)
08/2021 Simone Rahm group:Fetal Heart Rate Extraction from Wearable Non-Invasive Electrocardiogram Devices
(Master’s Thesis)