Jennifer Landes

My research focuses on the design, enhancement, and evaluation of a preprocessing pipeline for eye-tracking data. The pipeline consists of multiple stages, including the detection and treatment of missing values and outliers, data normalization, as well as optional steps such as, smoothing and filtering. The pipeline's evaluation involves applying various methods at each stage and analyzing their impact on classification performance, specifically using a Random Forest classifier.

Research Interests

Mathematical models of Maschine Learning
Data Science
Artificial Intelligence
Data Preprocessing

Publications

Jennifer Landes, Meike Klettke, Sonja K?ppl: Impact of Preprocessing on Classification Results of Eye-Tracking-Data. DE4DS@BTW 2025
Dominique Hausler, Jennifer Landes, Meike Klettke: SeeME: A General, Reusable Graph Schema for Data Preprocessing of Eye-Tracking Data. DE4DS@BTW 2025
Jennifer Landes, Meike Klettke, Sonja K?ppl: Comparison of Classifiers for Eye-Tracking Data, Data Science Projekte: Von der Wissenschaft bis zur Anwendung@GI Informatik Festival 2024
Jennifer Landes, Sonja K?ppl, Meike Klettke: Data Preprocessing Pipeline for Eye-Tracking Analysis. GvDB 2024
Jennifer Landes, Sonja K?ppl, Meike Klettke: Influence Factors on Academic Integrity revealed by Machine Learning Methods. GvDB 2023

Teaching

Lectures and Seminars:

ONGOING

Softwareprojekt Data Engineering (SS25)

PAST

IT-Grundlagen 1 und Programmierung at HNU (SS23-WS24)
Grundlagen der Informatik at EAH Jena (WS24)

Theses:

2024

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 Integrit?t: Untersuchung von Schummeldynamiken in digitalen Prüfungen durch Eye-Tracking und statistischer Auswertung (Bachelor Thesis)

2022

WS22: Untersuchung von T?uschungsverhalten 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 05/2025	Employeed at the Chair of Data Engineering, University of Regensburg, Germany
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