Studentische Arbeiten

Shape the future of WebXR: create shared immersive worlds, develop intelligent agents, and build a real-time multiplayer XR framework that works entirely in the browser.

Entwicklung eines Systems zur automatischen Erkennung und Visualisierung der kognitiven Phasen während des Spielens – Abduktion, Deduktion und Induktion.

Entwicklung eines adaptiven, Work-Graph-basierten Simulations-Level-of-Detail-Systems für particle-basierte Echtzeitphysik auf AMD-GPUs.

This project explores how AI-based super-resolution and frame-generation techniques can significantly enhance the visual quality of light-rendering workflows under strict computational constraints

Explore complex design spaces through interactive visualization—where data meets intuition. Join the iMOO project and shape the future of multi-objective optimization interfaces. We can fit the project to the requirements of a Game Research Lab, Bachelor or Master thesis.

A surge for demand of autonomous operations for close-proximity space missions requires a relative navigation solution utilizing visual sensors. In this project, you work with Unreal Engine to realise a synthetic image rendering framework to train AIs for such missions. This rather comprehensive project provides dedicated scopes for Game Research Labs, Master's and Bachelor's theses.

Innovate how we think by creating a smooth transition from 2D diagrammatic representations to 3D visuals and their evolution over time. Like most other topics, we can tailor the scope to different modules like a Bachelor's or Master's thesis or a Game Research Lab.

Investigate whether Ternary Neural Networks—restricting weights to just {-1, 0, +1}—can revolutionize the use of evolutionary algorithms as an alternative or complement to reinforcement learning by drastically shrinking the search space and enabling faster, efficient convergence.