We offer Bachelor’s theses, Master’s theses and student projects in machine learning, positioning, sensing and reinforcement learning.
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Physics Aligned Diffusion Models for Wireless Channels
Physics-aligned diffusion models can be used to generate realistic wireless channel data while preserving relevant physical properties.
View topic →: Physics Aligned Diffusion Models for Wireless Channels|
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Meta Reinforcement Learning for Optimization of Electric Circuit Parameters
The design and optimization of electric circuits is currently still an experience driven approach. Especially in the case of resonant systems, the strong non-linear system behavior requires a lot of optimization loops during the design process to maximize power transfer…
View topic →: Meta Reinforcement Learning for Optimization of Electric Circuit Parameters|
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Multi-Agent Reinforcement Learning for the Coordination of Base Stations in 6G Networks
6G technology is promising to fundamentally change how consumers and businesses communicate, based on its envisioned speed and flexibility. This flexibility stems from the complex interplay between large-scale ecosystems of software and hardware network components and renders classical theoretical approaches…
View topic →: Multi-Agent Reinforcement Learning for the Coordination of Base Stations in 6G Networks|
