Theses Supervision | Dr. Nina Herrmann | Department of Information Systems

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Dr. Nina Herrmann, M.SC.
Faculty

Chair of Machine Learning and Data Engineering (Prof. Gieseke)

Leonardo Campus 3
48149 Münster

Room: 223

Phone: +49 251 83-38164
nina.herrmann@wi.uni-muenster.de

ShortURL: ERC.IS ShortURL

ERC.IS ShortURL

erc.is/p/nina.herrmann

Available Thesis Topics
- Comparison of Long Range Wide Area Network Protocols and their Energy Consumption (Relevance: Bachelor)
Supervised Theses
- Evaluating XGBoost Models for Arduinos (Bachelor's thesis IS, 2025)
- Comparing energy consumption of EdgeML methods (Bachelor's thesis IS, 2025)
- Optimizing Memory Efficiency of LightGBM Models for Inference on Microcontrollers (Bachelor's thesis IS, 2025)
- Evaluation of Algorithms for the Usage of Decision Trees in the Context of Social Services and Exemplary Implementation. (Bachelor's thesis IS, 2024)
- Algorithmic Skeletons in Python (Bachelor's thesis IS, 2022)
- UI/UX Testing Methods for Platform-Independent Apps (Master's thesis IS, 2022)