Ann-Kristin Seifer, M. Sc.

Researcher & PhD Candidate

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

Room 01.020
Carl-Thiersch-Str. 2b
91052 Erlangen
Germany

Phone number: +49 9131 85-20289
Email: ann-kristin.seifer@fau.de

LinkedIn: Page of Ann-Kristin Seifer

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

Activity Recognition using IMU Sensors integrated in Hearing Aids

No publications found.

Scrum Master of several teams in the Innovation Lab for Wearable and Ubiquitous Computing:

- swimolution
- Traffix
- HeaR
- YogiTherapy

Year	Type	Student	Titel
2024	Master Thesis	Maximilian Renz	Depression detection using Earables
2024	Master Thesis	Alexander Klingebiel	Balance Assessment with Earables
2024	Master Thesis	Saba Mohammadi	Co-supervision
2024	Master Thesis	Terumi Hauser	Feasibility and Accuracy of Over-Ear PPG Measurements using an Aviation Headset
2023	Master Project	Maximilian Renz	Depression detection using multi-domain features from motion sensors and voice
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	Master Project	Stefan Musevski	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