René Raab

René Raab, M. Sc.

Researcher & PhD Candidate

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

Room: Room 01.020
Carl-Thiersch-Straße 2b
91052 Erlangen

Academic CV

since 09/2019 Researcher and PhD Candidate

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

09/2017-07/2019 M.Sc. in Artificial Intelligence

Maastricht University, The Netherlands

08/2016-01/2017 Erasmus exchange semester

Aarhus University, Denmark

10/2014-08/2017 B.Sc. in Kognitive Informatik

Universität Bielefeld, Germany

Teaching

Semester Responsibilities
Summer 2022 Green AI – AI for Sustainability and Sustainability of AI (Seminar)
Summer 2021 Algorithmen und Datenstrukturen (für Medizintechnik) – Übung
Winter 2020/21 Algorithmen und Datenstrukturen (für Medizintechnik) – Übung
Summer 2020 Algorithmen und Datenstrukturen (für Medizintechnik) – Übung
Winter 2019/20 Algorithmen und Datenstrukturen (für Medizintechnik) – Übung

Publications

2022

2021

2019

Student Projects/Theses

Year Student Type Title
2022 Roman Hucke (starting soon) Bachelor’s Thesis tbd
2022 Philip Stoll (ongoing) Master’s Thesis Long-Term Automated Behaviour Monitoring of Captive Polar Bears
2021 Klaus Fischer Master’s Project Unsupervised Adversarial Representation Learning
2021 Kenneth Mayer Master’s Project Improving Human Gait Analysis by Super-Resolution and Generative Adversarial Networks
2021 Pavlo Beylin Master’s Thesis Simultaneous Classification and Identification of Adversarial Attacks Through Multi-Task Learning
2021 Ben Paulsen Bachelor’s Thesis Prediction of Convective Updrafts in the Atmospheric Boundary Layer Based on Real-World Flight Data: A Machine Learning Approach
2020 Pavlo Beylin Master’s Project Development of a Modular Adversarial Attack Framework and Evaluation on the Sampled Nonlocal Gradient Descent Method
2019 Katharina Jäger Master’s Thesis Detecting Labor in Pregnant Women with a Wearable Pregnancy Tracker using Machine Learning