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

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

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:

2024

2023

2022

Courses

Innovation Lab for Wearable and Ubiquitous Computing

Supervised Projects:

Term Title
Winter Term 2024/2025 OneSpot
In Cooperation with Siemens
Summer Term 2024 Happy Plate
In Cooperation with BesserEsser
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

Year Student Titel
2024/25 David López Caballero

Implementation of a collaborative-based recommender system to support the treatment of people with food intolerances
(Master’s Thesis, Co-Supervision with BesserEsser)
2024/25 Atheeth Naik

Performance analysis based on overhead video data
(MaD-Project)
2024 Fabian Hirn

Investigating the Expected Goals Metric using Biomechanical Features gained from Pose Estimation
(Bachelor’s Thesis)
2024 Parisa Fathian

Development and Implementation of an Application to Collect Motivational Information from Recreational Runners
(MaD-Project)
2024 Sangeetha Poolayulla Chelottillam

Machine learning analysis of factors affecting motivation and performance in recreational running
(Master’s Thesis)
2024 Yannis Maag

Deep Learning-based Activity Recognition in Soccer Using IMUs
(Bachelor’s Thesis, Co-Supervision)
2024/24 Lucas Wittmann

Measuring Motivation in Sports: A Machine Learning Approach to Analyse the Effect of Gamification on Biosignals and Motivation in Sport
(Master’s Thesis, Co-Supervision)
2023/24 Roobesj Balaji

A Multimodal Approach to Analyze the Relation Between Motivation and Performance in Soccer
(Master’s Thesis)
2023 Lucas Wittmann

 Video-Based Ball Tracking for Soccer Drills in an Igloo Immersive Space
(MaD-Project)
2023 Roobesh Balaji

 Video-Based Ball Tracking for Soccer Drills in an Igloo Immersive Space
(MaD-Project)

Partners

 

Picture: TF FAU | FATHER&SUN