Propagation Environment

Propagation environment research focuses on understanding and modeling how signals—be they electromagnetic waves, acoustic waves, or information—travel through various media and are affected by their surroundings. Current research emphasizes data-driven approaches, employing machine learning techniques like graph neural networks, transformers, and generative models to predict and reconstruct propagation characteristics from limited data, often incorporating physical models to improve accuracy and efficiency. This work is crucial for optimizing wireless communication systems, improving medical imaging techniques, and enhancing various applications requiring accurate signal propagation modeling, such as autonomous navigation and network planning.