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Robert Richer, M. Sc.

Researcher & PhD Candidate

Department of Computer Science
Lehrstuhl für Informatik 14 (Maschinelles Lernen und Datenanalytik)

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

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

 

since 06/2017 Researcher and PhD Candidate

Machine Learning and Data Analytics Lab,
Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)

10/2016-04/2017 Visiting Student and Research Assistant

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

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)

06/2015-05/2017 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

12/2011-06/2015 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

  • : Fritz und Maria Hofmann-Preis (Technische Fakultät, Friedrich-Alexander-Universität Erlangen-Nürnberg) – 2018
  • , : Best Student Paper Award (IEEE Engineering in Medicine and Biology Society (EMBS)) – 2018
  • , , , , : IEEE EMBS Icehouse Challenge (IEEE Engineering in Medicine and Biology Society) – 2016
  • : DAAD FITweltweit Scholarship (Deutscher Akademischer Austauschdienst (DAAD)) – 2016

Projektseminar (PJS)

  • Projektseminar (Kurs G): Digital Psychology Lab

    Wahlpflichtveranstaltung im MSC; Studienleistung: Vorbereiten, durchführen, auswerten, präsentieren einer praktisch-empirischen Studie; Anfertigen eines Gruppenberichts über das Projekt

    • Mon 14:15-15:45, Room 00.010

Übung (UE)

  • Algorithmen und Datenstrukturen (für Medizintechnik) Rechnerübung

    Der Übungsbetrieb beginnt in der zweiten Vorlesungswoche!

    • TÜbung (UE) 8:15-9:45
    • Tue 8:15-9:45
    • Mon 12:15-13:45
    • Mon 12:15-13:45
    • Thu 16:15-17:45
    • Thu 16:15-17:45
    • Thu 8:15-9:45
    • Thu 8:15-9:45
    • Fri 12:15-13:45
    • Fri 12:15-13:45
    • Mon 16:15-17:45
    • Mon 16:15-17:45
    • Tue 12:15-13:45
    • Tue 12:15-13:45
    • Wed 10:15-11:45
    • Wed 10:15-11:45
    • Mon 14:15-15:45
    • Mon 14:15-15:45
    • Tue 14:15-15:45
    • Tue 14:15-15:45
    • Fri 10:15-11:45
    • Fri 10:15-11:45
    • Thu 10:15-11:45
    • Thu 10:15-11:45
    • Tue 16:15-17:45
    • Tue 16:15-17:45
  • Algorithmen und Datenstrukturen (für Medizintechnik) Tafelübung

    Der Übungsbetrieb beginnt in der zweiten Vorlesungswoche!

    • Thu 12:15-13:45
    • Mon 14:15-15:45
    • Tue 12:15-13:45
    • Wed 14:15-15:45
    • Mon 8:15-9:45
    • Fri 12:15-13:45
    • Thu 14:15-15:45

Seminar (SEM)

Vorlesung (VORL)

Year Name Title
2020 Johanna Happold group:Towards Vertigo Assessment at Home: Evaluation of Orthostatic Reaction in Free-living Environments
(Bachelor’s Thesis)
2019 Katharina Jäger group: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)