Optical Communication

Optical communication research currently focuses on enhancing performance, reliability, and security of optical networks through advanced signal processing and machine learning techniques. Key areas include developing novel algorithms for predictive maintenance of optical components, improving threat detection and classification using MIMO digital fiber sensing and machine learning, and optimizing integrated sensing and communication systems. These advancements leverage various deep learning architectures, such as transformers, convolutional neural networks, and autoencoders, to address challenges like noise reduction, equalization, and efficient data transmission, ultimately impacting the efficiency and robustness of optical communication systems.