Michael Nissen

Michael Nissen, M. Sc.

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

Room: Room 01.019
Carl-Thiersch- Straße, 2b
91052 Erlangen

LinkedIn

My key research areas include medicine (in particular Obstetrics, Emergency Medicine and Cardiology) as well as aviation. My key activities are situated in our interdisciplinary research project SMART Start. I am also open for topics, discussions and inquiries related to E-Commerce and Quantitative Analysis/Finance/Trading, even though these topics are outside of my core research areas.

If you’d like to discuss any collaboration or thesis ideas in any of these areas, please feel free to contact me.

Outside of my curricular activities, I offer freelance IT consulting and development services with a focus on E-Commerce, Data Science and Business Consulting. You may also find more information about me and my non- as well as co-curricular activities on the respective website.

 

Since 03/2020 Researcher and Ph.D. student
Machine Learning and Data Analytics Lab
Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
04/2016 – 12/2019 M. Sc. in Computer Science
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
Master Thesis: “Label Extraction from Electrocardiogram Free Text Reads”
06/2019 – 10/2019 Visiting Student/Master Thesis
Computational Cardiovascular Research Group
Research Lab of Electronics, Massachusetts Institute of Technology (MIT)
in Cooperation with Clinical Data Animation Center, Massachusetts General Hospital (MGH)
10/2015 – 10/2019 Student Assistant
Lehrstuhl für Wirtschaftinsformatik, insbesondere im Dienstleistungsbereich
Tutor for “PC-Praktikum” and “Algorithms and Data Structures for IIS Students”
10/2014 – 10/2016 B. Sc. in Information Systems
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
Bachelor Thesis: “Entwicklung und prototypische Realisierung eines Konzepts zur integrierten Fertigungsplanung einer
entscheidungsoptimierten Feindisposition bei der REHAU AG + Co”

2021

2019

Month/Year Name Title
(Ongoing) Carlos Perez A Usability Perspective on Pregnancy Apps (Working title)
(Master’s Thesis)
(Ongoing) Kelly Haong Deep Learning on Pregnancy Ultrasound Images
(Research internship)
09/2021 Shih-Yuan Huan Lifestyle Pregnancy Apps: An Examination of Functionality, Scientific and Commercial Aspects using Natural Language Processing
(Research Internship)
07/2021 Ben Paulsen Prediction of Convective Updrafts in the Atmospheric Boundary Layer Based on Real-World Flight Data: A Machine Learning Approach
(Bachelor’s Thesis)
07/2021 Jingna Qiu Data Augmentation for Electrocardiogram Classification
(Master’s Thesis)
07/2021 Luisa Dörflinger Digital Maternity Records: Physician’s and Midwife’s Perspective on Motivation and Usability
(Bachelor’s Thesis)
05/2021 Beeke Kirsch Investigation and Validation of the Impact of Local Characteristics on Clinical Decision Support Systems for early Sepis Prediction
(Master’s Thesis)
02/2021 Madeleine Flaucher Smartphone-based Colorimetric Analysis of Urine Dipsticks for At-Home Prenatal Care
(Master’s Thesis)
12/2020 Dominik Happel A Wearable-Data Enhanced Digital Maternity Log Including Cyberchondria-Aware User Interaction Concepts
(Master’s Thesis)
12/2020 Simone Rahm Medical Data Donation in Perinatal and Antenatal Care
(Research Internship)
11/2020 Felix Tempel Deep Learning-Based ECG Classification With Focus on Pregnant Women
(Master’s Thesis, Co-Supervision)
10/2020 Syrine Slim Validation of Heart Rate Variability Measurements of Wearable Devices Used Among Pregnant Women
(Bachelor’s Thesis)
10/2020 Michael Werthmann Objektive, technische Vergleichsparameter von Ultraschallgeräten und Deep Learning in der Ultraschallanwendung: Eine Literaturübersicht
(Research Internship)
08/2020 Madeleine Flaucher Antenatal Care in Germany: A Process Perspective
(Research Internship)

 

Month/Year Name Details
04/2020 –
ongoing
Innovation Lab for Wearable and Ubiquitous Computing Summer 2021: Pallitative Care (Working title)

Winter 2020: “Spinson” – Drone Mapping for Solar Panel Inspection and Defects Detection (in collaboration with Intego GmbH)

Summer 2020: “Stress in the box” – A web based application for stress management

10/2015 – 10/2020 PC Praktikum Teaches basics of Office software
10/2015 – 04/2018 Algorithms and Data Structures for IIS Students Additional english-based support for Master’s students of the study programme “International Information Systems”