Jennifer Landes
Research Interests
- Mathematical models of Maschine Learning
- Data Science
- Artificial Intelligence
- Data Preprocessing
Publications
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Jennifer Landes, Meike Klettke, Sonja Köppl: Comparison of Classifiers for Eye-Tracking Data, Data Science Projekte: Von der Wissenschaft bis zur Anwendung@GI Informatik Festival 2024
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Jennifer Landes, Sonja Köppl, Meike Klettke: Data Preprocessing Pipeline for Eye-Tracking Analysis. GvDB 2024
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Jennifer Landes, Sonja Köppl, Meike Klettke: Influence Factors on Academic Integrity revealed by Machine Learning Methods. GvDB 2023
Teaching
Lectures and Seminars:
ONGOING
- IT-Grundlagen 1 und Programmierung at Hochschule Neu-Ulm (SS23 - WS24)
Theses:
ONGOING
- SS 24: Vorhersage von Betrugsversuchen nach einer Prüfung duch Auswertung von Eye-Tracking Daten mithilfe von Machine Learning in Python (Bachelor Thesis)
- SS 24: Digitale Integrität: Untersuchung von Schummeldynamiken in digitalen Prüfungen durch Eye-Tracking und statistischer Auswertung (Bachelor Thesis)
2022
- WS22: Untersuchung von Täuschungsverhalten in digitalen Prüfungen - Identifikation von Einflussfaktoren mithilfe von machinellem Lernen (Master's Thesis)
- SS22: Die Entwicklung eines Chatbot-Prototypes zur automatisierten Beantworung von Studierendenfragen zu Vorlesungsinhalten (Master's Thesis)
Curriculum Vitae
Scientific Career
| since 07/2024 | Research Assistant with focus on AI, Ernst-Abbe-Hochschule Jena, Germany |
| since 2023 | PhD student at the Faculty for Computer Science and Data Science, Data Engineering Group, University of Regensburg, Germany |
| 2022-2023 | Research Assistant with focus on Data Science and AI, Hochschule Neu-Ulm, Germany |
| 2013-2022 | Research Assistant, University of Heidelberg, Germany |
| 2010-2013 | Graduate student of Business Informatics, University of Mannheim, Germany |
| 2007-2010 | Undergraduate student of Business Informatics, University of Mannheim, Germany |
Dominique Hausler - 16.12.2024 15:15 
