Theses Supervision | Marius Kühnemund | Department of Information Systems

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Marius Kühnemund, M.Sc.
Former Research Assistant

Practical Computer Science Group

Leonardo Campus 3
48149 Münster

Supervised Theses
- Implementation of Performance Optimizations in EasyChemML by Transferring Computationally Intensive Program Parts to Rust (Master's thesis IS, 2024)
- Automatic Deployment of Jobs on Slurm-based High-Performance Clusters (Bachelor's thesis IS, 2023)
- Evaluation of a Graph Generative Model for Molecular Structures on a Dataset of Bioactive Molecules with Drug-Like Properties (Bachelor's thesis IS, 2022)
- Automated Digitalization and Interpretation of Analog Order Documents (Bachelor's thesis IS, 2021)
- The development of an artificial intelligence for a competition of a turn-based tower defense game (Bachelor's thesis IS, 2021)
- Evaluation of Evolutionary Encoding for Molecular Machine Learning - Boiling Point Prediction as Case Study. (Bachelor's thesis IS, 2021)
- Accelerating Python Applications: A Game of Life Example (Bachelor's thesis IS, 2021)
- Applying Generative Deep Learning Techniques to Predict Molecular Structures from Analytical Data (Master's thesis IS, 2021)
- Data Mining from Chemical Publications: Recognition of Organic Reactions (Bachelor's thesis IS, 2021)
- Deep Learning Approaches for the Generation of Molecular Structures from Electron Ionization Mass Spectra (Master's thesis IS, 2020)
- Deep Learning Approaches for Translating Molecular Fingerprints to SMILES Strings (Master's thesis IS, 2020)
- Evaluation and categorization of graph neural networks in the area of organic chemistry (Master's thesis IS, 2020)
- Conceptualization and implementation of an automated classification of prostate cancer tissue microarrays via deep learning without manual patch level annotation (Master's thesis IS, 2020)
- Implementation of Overlap Resolving Algorithms of Domain Annotations (Bachelor's thesis IS, 2020)
- Mental attention state prediction based on electroencephalography data (Bachelor's thesis IS, 2020)
- Evaluation of evolutionary training methods for artificial neural networks (Bachelor's thesis IS, 2020)

Supervised Theses