Ann-Kristin Seifer

Ann-Kristin Seifer, M. Sc.

Researcher & PhD Candidate

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

Room: Room 01.010
Carl-Thiersch-Str. 2b
91052 Erlangen
Germany

Academic CV

since 10/2020 Researcher and PhD Candidate

Machine Learning and Data Analytics Lab
Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)

10/2017-09/2020 M.Sc. in Medical Engineering, “Medical Image and Data Processing”

Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)

Majors: Pattern Recognition, Image Processing, Biomedical Signal Processing, Deep Learning

12/2019-06/2020 Master’s Thesis

Title: “Predicting Hearing Aid Settings Based on Audiometric and Subject-Related Data: A Machine Learning Approach”

WS Audiology, Erlangen
Pattern Recognition Lab, Computer Science, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU)

02/2018-11/2019 Working Student

Audiology Department at WS Audiology, Erlangen 

10/2013-03/2018 B.Sc. in Medical Engineering, “Medical Imaging Systems”

Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)

Majors: Image and Signal Processing
Bachelor’s Thesis: “Gait Analysis Using Foot-mounted Sensors and Optimal Control Simulation ”

 

11/2016-02/2017 Internship  

Philips Research, Hamburg

Topic: Compensation of Segmentation Differences Between Different Imaging Modalities

 

Publications

2024

2023

2022

2020

2019

2018

Teaching

No matching records found.

Student Supervision

Year Type Student Titel
2023 Master Project Maximilian Renz
2023 Master Thesis Jelina Unger

Real-time motion detection and gait analysis on an embedded system

2023 Student Assistant Lukas Jahnel

Implementation and evaluation of a gait sequence detector

2023 Student Assistant Luzie Richter

Data acquisition and analysis

2023 Master Thesis Johanna Schwarz

Speed estimation using wrist-worn IMUs

2023 Master Thesis Friederike Popp

Sit-to-stand transfer

2022 Stefan Musevski Master Project

Gait sequence detection

2022 Student Assistant Alexander Schmieg

 Implementation of a deep learning model for gait parameter estimation

2022 Master Thesis Obioma Nwosu

Development of E-Health application for rheumatic patients (YogiTherapyApp)

2022 Master Thesis Maximilian Vogel

Compressed deep learning model for Human Activity Recognition

2022 Student Assistant Fatemeh Rezaei

Motion data analysis

2021 Bachelor Thesis Svenja Mitrovics

Gait event detection using IMU sensors integrated into hearing aids

2021 Student Assistant Lara Dittmann

Motion data analysis

2021 Bachelor Thesis Jana Kiederle

Motion analysis using IMU sensors integrated into hearing aids