Xinpeng Hong is a final-year Ph.D. student at the University of Oxford, specializing in the intersection between computer networking and machine learning. His research focuses on leveraging programmable network hardware to accelerate computation and machine-learning-driven applications, achieving significantly lower latency, higher throughput, and greater power efficiency compared to traditional server-based solutions. This approach has wide-ranging applications in time-sensitive areas such as finance, healthcare, smart transportation, and artificial intelligence of things (AIoT).
