portrait photo
  • Lucas Lange
  • lange [at] informatik [dot] uni-leipzig [dot] de
  • +49 341 97 32316

  • Room P-416, Paulinum, Augustusplatz 10, 04109, Leipzig

About

  • Since 03/2022 - Researcher / PhD Student at Leipzig University
  • 2022 - M.Sc. Computer Science, Leipzig University
  • 2019 - B.Sc. Computer Science, Leipzig University

Research

  • Privacy-Preserving Data Analysis (Machine Learning)

Teaching

Lectures:

  • DBS2 (Lectures on Pandas and XML)

Tutorials:

  • DBS1

  • DBS2

Labs:

  • Data Warehouse / Data Mining

  • Relational Databases

  • Big Data

Seminars:

  • Trends in Data Analytics and Machine Learning

Betreute Abschlussarbeiten (16)

Jahr Typ Student Titel Status
2025 B. Sc. Oliver Hamm Slicing Dynamic Time Warping for Time Series Retrieval and Clustering Finished
2025 B. Sc. Tim Kästner Erkennung von Elektroautos auf Straßenbildern Finished
2025 M. Sc. Jonathan Weske Verbesserung von Federated Daisy Chaining bei heterogenen Daten Finished
2025 M. Sc. Max Martius Model and Data Independent Property Inference Attacks Finished
2025 M. Sc. Ole Borchardt Federated Learning With Individualized Differential Privacy By Client Sampling Finished
2025 M. Sc. Adrian Böttinger Supervised learning from user-driven privatized data Finished
2024 B. Sc. Greta Weißgerber On the utility and privacy of user-driven privatized data Finished
2024 B. Sc. Lukas Metz Learning Super Mario Bros - Investigation of the Influence of Generalized States in Reinforcement Learning Finished
2024 M. Sc. Maximilian Heykeroth Image Dataset Characteristics and Their Influence on Privacy-Preserving Machine Learning Finished
2024 M. Sc. Tobias Schreieder Re-Identification Attacks on Smartwatch Health Data Finished
2024 M. Sc. Marcel Lehmann Data Augmentation for Time Series Data Finished
2023 B. Sc. Daniel Grohmann Kolorieren Historischer Fotos der Stadt Leipzig mit Deep-Learning-Techniken Finished
2023 B. Sc. Felix Vogel Privatsphäre-erhaltende Sentiment Analyse auf Twitter Finished
2023 M. Sc. Borislav Degenkolb Entwicklung eines Privatsphäre-erhaltenden Transformers zur Stresserkennung anhand von Smartwatch-Health-Daten Finished
2023 M. Sc. Nils Wenzlitschke Privacy-Preserving Smartwatch Health Data Generation For Stress Detection Using GANs Finished
2022 B. Sc. Noah Rasp A Study on the Impact of Class Imbalance on CNNs for Bee Health Detection Finished

Publications (11)

Dateien Cover Beschreibung Jahr
SentArg: A Hybrid Doc2Vec/DPH Model with Sentiment Analysis Refinement
Staudte, C. ; Lange, L.
CLEF 2020 Working Notes
2020 / 9