Digital Communication

Digital communication research focuses on improving the efficiency, security, and user experience of various communication modalities, from text-based interactions to radio frequency transmissions. Current research employs deep learning models, including neural networks, to enhance aspects like spectral efficiency in RF channels and to analyze nuanced communication elements such as emoji usage. These advancements aim to address challenges such as channel congestion, adversarial attacks, and the need for more intuitive and effective collaboration tools, impacting fields ranging from IoT device management to workplace communication strategies. Understanding and mitigating the limitations of current models, particularly concerning cultural biases in AI interpretation of communication cues, is a key area of ongoing investigation.