Marlies Nitschke

Marlies Nitschke, M. Sc.

Researcher & PhD Candidate

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

Room: Room 01.024
Carl-Thiersch-Straße 2b
91052 Erlangen

Curriculum Vitae

Since 11/2017 Researcher and Ph.D. Candidate
Machine Learning and Data Analytics Lab at Friedrich-Alexander-University Erlangen-Nürnberg
Topic: Biomechanical Simulation
12/2019 Passed the trainer examinations (Ausbildereignungsprüfung/ADA-Schein) of the IHK
Qualification to train apprentices to become IT specialists (Fachinformatiker)
04/2015 – 10/2017 M.Sc. in Medical Engineering
Pattern Recognition Lab at Friedrich-Alexander-University Erlangen-Nürnberg
Master Thesis: “Sensor-based Movement Analysis Using Optimal Control Simulation of a 3D Biomechanical Model”
09/2016 – 12/2016 Research Internship
Molecular Imaging Laboratory at Peking University (China)
Topic: “SIFT Key-Points for Lung Tumor Detection in PET/CT Images”
10/2011 – 02/2015 B.Sc. in Medical Engineering
Friedrich-Alexander-University Erlangen-Nürnberg
04/2014 – 09/2014 Research Internship for the Bachelor Thesis
Laboratory of Movement Analysis and Measurement at École polytechnique fédérale de Lausanne (EPFL, Switzerland)
Bachelor Thesis: “Feasibility of Sit-to-Stand Analysis with the G4TM Polhemus System”

Research Projects

Publications

2023

2022

2021

2020

2019

2018

2017

Awards

  • : Young Investigator Award (Footwear Biomechanics Symposium) – 2021
  • : Preis für hervorragende Hochschulabschlüsse von weiblichen Studierenden der Ingenieurwissenschaften (Bayerisches Staatsministerium für Wissenschaft und Kunst) – 2018

       Press report

Teaching

Student Theses

I supervised or co-supervised the following student theses besides several research internships:
 
Year Name Title
2022/23 Jiating Ye Validation of an IMU-based motion analysis framework for the assessment of change-of-direction movements
(Masters’s Thesis)
2022 Obioma Nwosu Refinement and Usability Analysis of an E-Health Application for Rheumatic Patients as a Complimentary Treatment to Physical Therapy
(Masters’s Thesis)
2021 Sophie Fleischmann Feature extraction from motion capture data
(Masters’s Thesis)
2021 Alexander Weiß An investigation of ground contact models in biomechanical simulations
(Masters’s Thesis)
2021 Christopher Löffelmann Biomechanical assessment of sprint performance via trajectory optimization
(Bachelor’s Thesis)
2020/21 Matthias Mayer Gait Reconstruction from Sparse Sensordata for Identification and Visualization of Parkinson’s Disease
(Master’s Thesis)
2020/21 Lukas Stegmaier Understanding movement decisions in gait using inverse optimal control
(Master’s Thesis)
2020/21 Christian Attenberger Optimal Control Simulation of Musculoskeletal Models for Predictive Gait Analysis in Virtual Footwear Design
(Master’s Thesis)
2020 Markus Gambietz Energy Cost of Walking with a Three Dimensional Musculoskeletal Model
(Master’s Thesis)
2019 Robert Schleicher Animation of 3D Human Surface Models for Biomechanical Analysis
(Master’s Thesis)
2018 Jannis Wolf Learning on Synthesized Inertial Sensor Data for Human Movement Analysis
(Bachelor’s Thesis)

Demos

MaD Walker Demo

 

PoMMAI Demo

 

Partners