Madeleine Flaucher

Madeleine Flaucher, M. Sc.

Researcher & PhD Candidate

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

Room: Room 01.019
Carl-Thiersch-Straße 2b
91052 Erlangen

Academic CV

Since 04/2021 Researcher and Doctoral Candidate
Machine Learning and Data Analytics Lab
Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
10/2018 – 02/2021 M. Sc. in Medical Engineering
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
Master Thesis: “Smartphone-Based Colorimetric Analysis of Urine Dipsticks for At-Home Prenatal Care”
10/2014-09/2018 B. Sc. in Biomedical Engineering
Ostbayerische Technische Hochschule Regensburg (OTH)
Bachelor Thesis: “Zerebrale Aneurysmen: Entwicklung eines Werkzeugs zur Rekonstruktion der Ursprungsgeometrie und vergleichende CFD Berechnungen”





Research Projects


Student Theses

Year Name Title
2022 Sabrina Berzins
Increasing Health Literacy through Patient-centered Knowledge Transfer within a Digital Health Application
(Master’s Thesis)
2022 Florian Prümer
Motivational UI: Enhancing Adherence and Engagement of Heart Failure Patients within a Digital Health Application
(Master’s Thesis)
2022 Jonas Gruber Influence of Different Stimulus Intensities of Cold Air on Driver Drowsiness
(Master’s Thesis, Co-Supervision)
2023 Nuria Barrios Campo Retrospective Analysis of Self-reported Symptoms and Usage Data in a Digital Health Application
(Master’s Thesis, Co-Supervision)
2023 Michael Brock
Refinement, Feasibility and Evaluation of an eHealth Application for Opioid Management in Palliative Care
(Master’s Thesis, Co-Supervision)
2023 Ahmed Abdelhamid
Boosting the meaningfulness and interpretability of brain graph-theoretical data by interactive VR visualizations
(Master’s Thesis, Co-Supervision)
2023 Julia Hafenbrak
(Bachelor’s Thesis, Co-Supervision)
2023 Juliane Ort
Enhancing User Engagement in a Breast Cancer Prevention App: User-Centered Design Features to Promote Preventive Behavior
(Master’s Thesis)
2023 Caspar Siemssen
Development of a Mobile Application for Assessing Quality of Life in Breast Cancer Patients: Study on Usability and User Preferences
(Bachelor’s Thesis)
2024 Moritz Kraus
Enhancing Recruitment Processes through AI-Powered chatbots: A Study on User Experience, Skill Validation, and Process Efficiency
(Master’s Thesis)
2024 Benedikt Mader
Design Matters: The Impact of Soft Factors on Adherence to Wearable Devices in Medical Trials
(Master’s Thesis)