Robert Richer

Robert Richer, M. Sc.

PhD Candidate & Group Head

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

Room: Room 01.026
Carl-Thiersch-Straße 2b
91052 Erlangen

Since March ’18, Nils and me are the CEOs of Portabiles, a spin-off company from our MaD Lab.


Academic CV

since 01/2023 Group Head

Digital Health – PsychoSense, Machine Learning and Data Analytics Lab,
Department Artificial Intelligence in Biomedical Engineering (AIBE), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)

since 06/2017 Researcher and PhD Candidate

Machine Learning and Data Analytics Lab,
Department Artificial Intelligence in Biomedical Engineering (AIBE), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)

05/2016-04/2017 Visiting Student and Research Assistant

Responsive Environments Group,
MIT Media Lab, Massachusetts Institute of Technology

10/2015-05/2017 M.Sc. in Medical Engineering, “Medical Image and Data Processing”

Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)

Majors: Pattern Recognition, Image and Signal Processing, Human Computer Interaction
Master’s Thesis: “Exploring Interaction Concepts for a Context-aware Smart Office Prototype

06/2015-04/2017 Scientific Assistant

Central Institute for Healthcare Engineering (ZiMT)Pattern Recognition Lab (CS5),
Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)

12/2011-09/2015 Student Assistant

Central Institute for Healthcare Engineering (ZiMT),
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)

10/2011-06/2015 B.Sc. in Medical Engineering, “Medical Imaging Systems”

Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)

Majors: Image and Signal Processing, Embedded Systems
Bachelor’s Thesis: “Novel Human Computer Interaction Concepts for Cardiac Feedback using Google Glass and Android Wear















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Student Theses

Year Name Title
2024 Simon Meske Improving the Robustness of Heart Rate Estimation from Continuous-Wave Radar Data using a Wavelet-based Approach and Deep Learning
(Master’s Thesis)
2024 Julia Jorkowitz Systematic Benchmarking of Pre-Ejection Period Extraction Algorithms
(Bachelor’s Thesis)
2024 Robert Schröter Improving the CARWatch Framework for Objective Cortisol Awakening Response Assessment
(Master’s Thesis)
2023 Victoria Müller Machine Learning-Based Detection of Acute Psychosocial Stress from Digital Biomarkers
(Master’s Thesis)
2023 Leon Schmid Analyzing Acute Psychosocial Stress Responses: A Video-Based Motion Analysis Approach (co-supervision)
(Bachelor’s Thesis)
2023 Marie Oesten Radar-Based Investigation of Pulse Wave and Heart Sound Propagation (co-supervision)
(Master’s Thesis)
2023 Vivien Holzwarth Correa Classification and assessment of rheumatoid arthritis from motion capture data using machine learning
(Bachelor’s Thesis)
2023 Clark Bäker Improving the Robustness of Radar-based Vital Sign Detection (co-supervision)
(Bachelor’s Thesis)
2023 Tobias Gessler OpenTSST – An Open Web Platform for Large-Scale, Video-Based Motion Analysis During Acute Psychosocial Stress
(Bachelor’s Thesis)
2023 Friederike Popp Towards frailty assessment in older adults: Investigation of sit-to-stand transfer detection using ear-worn sensors in real-world activities (co-supervision)
(Master’s Thesis)
2023 Sebastian Stühler Investigation of the Pre-Ejection Period as a Marker for Sympathetic Activity during Acute Psychosocial Stress (co-supervision)
(Bachelor’s Thesis)
2023 Ulla Sternemann
2022 Philipp Dörfler Comparison of Algorithms for Respiratory Information Extraction from Wearable Sensors (co-supervision)
(Bachelor’s Thesis)
2022 Luca Abel Machine Learning-Based Detection of Acute Psychosocial Stress from Dynamic Movements
(Master’s Thesis)
2022 Paula Kaiser Influence of Social-Evaluative Stress in the Virtual Reality Stroop Room (co-supervision)
(Master’s Thesis)
2021 Benjamin Zenke
2021 Daniel Krauß Benchmarking of Sleep/Wake Detection Algorithms using Wearable Sensors and Machine Learning
(Master’s Thesis)
2021 Veronika Koch Influence of Acute Psychosocial Stress on Body Posture and Movement
(Master’s Thesis)
2020 Johanna Happold Towards Vertigo Assessment at Home: Evaluation of Orthostatic Reaction in Free-living Environments
(Bachelor’s Thesis)
2019 Katharina Jäger Detecting Labor in Pregnant Women with a Wearable Pregnancy Tracker using Machine Learning
(Master’s Thesis)
2019 Janis Zenkner Assessment of Cold Face Test for Stress Reduction
(Bachelor’s Thesis)
2019 Linda Vorberg Clustering of Stress Responder Types based on Diurnal Cortisol Profiles
(Bachelor’s Thesis)
2019 Lea Henrich Evaluation of IMU Orientation Estimation Algorithms Using a Three-Axis Gimbal (co-supervision)
(Bachelor’s Thesis)
2019 Anke Müller A Prototype for Automated Tool Parameter Adjustments based on Machine Learning in Semiconductor Manufacturing
(Master’s Thesis)
2019 Georg Wieland Development and Evaluation of a Context-Aware Data Concentrator for Clinical Gait Analysis Systems in Home-Monitoring Scenarios (co-supervision)
(Master’s Thesis)
2018 Felix Tuchnitz Node.js-based Sensor Library Framework for a Data Concentrator in Home Monitoring
(Master’s Project)
2018 Luca Abel Classification and prediction of acute stress-induced response patterns
(Bachelor’s Thesis)
2018 Daniel Krauß Heart Rate Variability Analysis for Unsupervised Tilt Table Testing during Daily-life Activities
(Bachelor’s Thesis)
2018 Sophia Leierseder Continuous Blood Pressure Measurement During Daily-life Activities Using Pulse Transit Time
(Bachelor’s Thesis)
2018 Michael Hopfengärtner An open-source sensor platform for analysis of group dynamics
(Master’s Thesis)
2017 Insa Suchantke Application for controlling a wearable electrostimulator for the prediction of migraine attacks
(Bachelor’s Thesis)
2017 Andrea Stefke Steuerung eines Elektrostimulators zur Messung veränderter Schmerzwahrnehmung bei Migränepatienten
(Bachelor’s Thesis)