BSc Thesis / MSc Thesis. The goal of this project is to use AI coding tools such as ChatGPT Codex and Claude Code together with optimization tools such as OpenEvolve to find innovative solutions for various database-y workloads, including: SIEM workloads, such as finding IP addresses in large security data sets String search workloads, such as finding substrings or evaluating regular expressions …
Supervisors: Martin Hentschel
Semester: Fall 2026
Tags: AI, query optimizer, database, HPC

BSc Thesis. This project builds on a previous master’s thesis, Prompting Luck: Bias and Manipulability in LLM-Generated Randomness, that explored replacing traditional random number generators (RNG) in games with large language models (LLMs). The idea is that an LLM can produce “intelligent” random numbers, for example the outcome of a slot machine spin, that take context into …
Supervisors: Martin Hentschel
Semester: Fall 2026
Tags: AI, LLMs, games

BSc Thesis / MSc Thesis. The goal of this project is to explore the feasibility and impact of replacing traditional random number generators (RNG) in games with large language models (LLMs). For example, in a slot machine game, the outcome is typically determined by a random number generated each time the “spin” button is pressed. In this project, students will investigate using an LLM …
Supervisors: Martin Hentschel
Semester: Spring 2026
Tags: AI, LLMs, games

Are you interested in working with a big data open source project and AI? You are welcome to conduct your thesis/project in the context of Apache Wayang. Apache Wayang is the first cross-platform framework that allows users to specify their task/query in a system-agnostic manner and Wayang will determine which is the best system(s) to execute this task with the goal of optimizing performance. For …
Supervisors: Zoi Kaoudi
Semester: Fall 2025
Tags: big data, AI, LLMs, cross-platform data processing, open source, Apache