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Robert Richer, M. Sc.

  • Job title: Researcher & PhD Candidate
  • Organization: Department of Computer Science
  • Working group: Lehrstuhl für Informatik 14 (Maschinelles Lernen und Datenanalytik)
  • Phone number: +49 9131 85 20162
  • Fax number: +49 9131 85 28980
  • Email: robert.richer@fau.de
  • Website:
  • Address:
    Carl-Thiersch-Straße 2b
    91052 Erlangen
    Germany
    Room 01.026

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

Pattern Recognition Lab (CS5),
Department of Computer Science, Friedrich-Alexander-Universität (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

2019

2018

2017

2016

2015

2014

  • : 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

Übung (UE)

Tutorium (TUT)

Year Name Title
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
(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)