Emerging extended reality technologies, including augmented reality, mixed reality, and virtual reality, demand high-speed low-latency communication to support interactive immersive applications such as three-dimensional (3D) telemedicine and video conferencing. However, achieving both high speed and low latency can lead to a high bit error rate, which in turn reduces communication reliability. Thus, it is essential to develop a new error detection and correction coding solution that can tolerate communication errors in such scenarios. In communication systems, bit errors exhibit varying levels of semantic significance. Errors with low significance can be tolerated, while those with high significance must be corrected. This project will explore topological information from source data for error detection and correction in communication systems, which can ensure data fidelity at the topology level rather than the bit level, aiming to detect the significance of errors in the received data and correct them by recovering the original topological information. This approach offers new insights into communication errors and can potentially enable the development of novel codes for next-generation communication systems. In addition, this project will provide research opportunities for both graduate and undergraduate students and will leverage outreach activities at the University of Nebraska-Lincoln to share research outcomes with K-12 students and teachers using specially developed