Rebecca Lennartz

Rebecca Lennartz, M. Sc.

Researcher & Doctoral 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 01/2023 Researcher & Doctoral Candidate

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

05/2022-10/2022 Visiting Student

Benno Niggs Research Group at the Human Performance Lab, University of Calgary
Master’s Thesis: “How does Protective Equipment restrict Ice Hockey Player’s motion? A Neural Network Approach”

05/2021-04/2022 Student Assistant

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

10/2020-11/2022 M.Sc. in Medical Engineering, “Medical Image and Data Processing”

Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)

03/2020-08/2020 Internship

Laser Application Center, TRUMPF Laser GmbH Schramberg
Bachelor’s Thesis: “Investigation of flexible beam shaping concepts for ultrashort pulse laser materials processing”

09/2019-12/2019 Studies abroad

University of New Brunswick (Canada)

03/2018-03/2019 Internship and project work

Biomechanical Lab, Aesculap AG Tuttlingen
“Improvement and further development of testing processes for knee joint systems”

09/2016-08/2020 B.Sc. in Medical Engineering, “Industrial MedTec”

Hochschule Furtwangen University (HFU) in Tuttlingen

Research Projects

I am part of the Sports Analytics Research group working on biosignals and their signal processing as well as machine learning in the context of sports. Projects I contributed to are:

Publications

2024

2023

2022

Teaching

Courses

Innovation Lab for Wearable and Ubiquitous Computing

Supervised Projects:

Term Title
Winter Term 2023/2024 FAUTogether App

In Cooperation with Claudia Barnickel (Study Coordination and Advisory Service for Medical Engineering, FAU)

Summer Term 2023 ConduListen

In Cooperation with WSAudiology

Student Supervision

Year Type Student Titel
2024 Master Thesis Lucas Wittmann

Measuring Motivation in Sports: A Machine Learning Approach to Analyse the Effect of Gamification on Biosignals and Motivation in Sport

2024 Master Thesis Roobesj Balaji

A Multimodal Approach to Analyze the Relation Between Motivation and Performance in Soccer

2023 MaD-Project Lucas Wittmann

 Video-Based Ball Tracking for Soccer Drills in an Igloo Immersive Space

2023 MaD-Project Roobesh Balaji

 Video-Based Ball Tracking for Soccer Drills in an Igloo Immersive Space

Partners

 

Picture: TF FAU | FATHER&SUN