Ann-Kristin Seifer
Ann-Kristin Seifer, M. Sc.
Academic CV
since 10/2020 | Researcher and PhD Candidate
Machine Learning and Data Analytics Lab |
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
WS Audiology, Erlangen |
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
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11/2016-02/2017 | Internship
Philips Research, Hamburg Topic: Compensation of Segmentation Differences Between Different Imaging Modalities |
Research Projects
Publications
2022
Detection of distorted gait and wearing-off phenomenon in Parkinson's disease patients during Levodopa therapy
4th IEEE-EMBS International Conference on Wearable and Implantable Body Sensor Networks (BSN) / 18th IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) (Ioannina)
In: 2022 IEEE-EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL AND HEALTH INFORMATICS (BHI) JOINTLY ORGANISED WITH THE IEEE-EMBS INTERNATIONAL CONFERENCE ON WEARABLE AND IMPLANTABLE BODY SENSOR NETWORKS (BSN'22), NEW YORK: 2022
DOI: 10.1109/BHI56158.2022.9926873
BibTeX: Download
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MaD GUI: An Open-Source Python Package for Annotation and Analysis of Time-Series Data
In: Sensors 22 (2022)
ISSN: 1424-8220
DOI: 10.3390/s22155849
BibTeX: Download
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A Yoga Exercise App Designed for Patients With Axial Spondylarthritis: Development and User Experience Study
In: JMIR Formative Research 6 (2022), p. e34566
ISSN: 2561-326X
DOI: 10.2196/34566
URL: https://formative.jmir.org/2022/6/e34566
BibTeX: Download
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2020
Predicting Hearing Aid Fittings Based on Audiometric and Subject-Related Data: A Machine Learning Approach
Virtual Conference on Computational Audiology (VCCA2020) (Virtual, 19. June 2020 - 19. June 2020)
In: Virtual Conference on Computational Audiology (VCCA2020) 2020
URL: https://computationalaudiology.com/predicting-hearing-aid-fittings-based-on-audiometric-and-subject-related-data-a-machine-learning-approach/
BibTeX: Download
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2019
Estimation of Gait Kinematics and Kinetics from Inertial Sensor Data Using Optimal Control of Musculoskeletal Models
In: Journal of Biomechanics (2019)
ISSN: 0021-9290
DOI: 10.1016/j.jbiomech.2019.07.022
URL: https://www.mad.tf.fau.de/files/2019/08/201908_JBiomech_Dorschky.pdf
BibTeX: Download
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2018
Optimal Control Simulation of a 2D Biomechanical Model for Sensor-Based Gait Analysis
Summer School "Humans in Motion" (Heidelberg, 23. September 2018 - 28. September 2018)
URL: https://www.mad.tf.fau.de/files/2018/10/2018_09_18_Nitschke_HumansInMotion.pdf
BibTeX: Download
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Teaching
- Scrum Master of several teams in the Innovation Lab for Wearable and Ubiquitous Computing:
Internship (PR)
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Innovation Lab for Wearable and Ubiquitous Computing
Themenvergabe und Terminfindung in der ersten Woche des Semesters. Die Vergabe der Plätze im Kurs erfolgt nach einem Aufnahmeantrag. In diesem sollen Studierende ihren Studiengang, ihr Fachsemester und den angestrebten Abschluss nennen (Bachelor/Master). Sind zu viele Anmeldungen eingegangen und der Kurs ist voll, gibt es eine Warteliste.
Das Praktikum steht Studierenden der genannten Studienrichtungen ab dem 5. Bachelorsemester (und aller Mastersemester) ebenfalls offen. Für weitere Studiengänge und ECTS-Verteilungen bitte unter Matthias.Zuerl@fau.de nachfragen.
Weitere Informationen zu der Lehrveranstaltung können auch unserer Webseite entnommen werden: https://www.mad.tf.fau.de/teaching/innolab/ ,Anmeldung: https://www.studon.fau.de/crs4362400.html
Die Anmeldung ist möglich ab dem 14.03.2022* bis einschließlich *15.04.2022
Student Supervision
Year | Type | Student | Titel |
2023 | Master Thesis | Johanna Schwarz |
Speed Estimation using Wrist-Worn IMUs (in progress) |
2023 | Master Thesis | Friederike Popp |
Sit-to-stand transfer (in progress) |
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 |