About

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

Contact

• E-Mail: lange [at] informatik.uni-leipzig.de
• Office: Room P-416, Paulinum, Augustusplatz 10, 04109, Leipzig
• Phone: +49 341 97 32316

Research

• Privacy-Preserving Data Analysis (Machine Learning)

Thesis Supervision

• Feel free to contact me for more info or topic proposals/requests.

• Open Theses

• Ongoing Theses

  • Bachelor: Daniel Grohmann - Colorizing Old Photos of Leipzig Using Deep Learning
  • Bachelor: Felix Vogel - Privacy-Preserving Sentiment Analysis on Twitter
  • Master: Nils Wenzlitschke - Privacy-Preserving Smartwatch Health Data Generation Using DP-GANs
  • Master: Borislav Degenkolb - Privacy-Preserving LSTM for Smartwatch Stress Detection
  • Bachelor: Lukas Metz - Beating Super Mario Bros With AI: A Playful Comparison of Reinforcement Learning and Genetic Algorithms

• Finished Theses

  • Bachelor: Noah Rasp (2022) - A Study on the Impact of Class Imbalance on CNNs for Bee Health Detection

Publications

Lange, Lucas; Schneider, Maja; Rahm, Erhard Privacy in Practice: Private COVID-19 Detection in X-Ray Images arXiv preprint arXiv:2211.11434 2022-11

Staudte, Christian; Lange, Lucas SentArg: A Hybrid Doc2Vec/DPH Model with Sentiment Analysis Refinement CLEF 2020 Working Notes 2020-09

Teaching

Tutorials:

• DBS1: WiSe22/23
• DBS2: SoSe22

Labs:

• Data Warehouse / Data Mining: WiSe22/23
• Relational Databases: SoSe22
• Big Data: SoSe22

Seminars:

• Trends in Data Analytics and Machine Learning: WiSe22/23