Welcome to the Computer Networks Research Group
The Computer Networks group conducts research and teaching activities focusing on networked systems of all kinds, ranging from large-scale cloud data centers to tiny low-power IoT devices. In the era of AI proliferation, networked systems have become critical infrastructures for supporting both the training of large AI models in GPU clusters and the deployment of AI inference systems in IoT. Our research covers mainly these cutting-edge topics.
Research
We focus our research on networked systems and we strive to create concepts and methods to make networked systems, ranging from large-scale data centers to tiny Internet-of-Things (IoT) devices, more efficient and sustainable for modern machine learning applications. Our goal is to create better programming tools, middleware, and protocols, leveraging the capabilities offered by emerging hardware. Main research topics include: efficient and sustainable deep learning inference serving in data centers, time-sensitive mobile/edge AI inference, data center in-network computing, and battery-free Internet-of-Things.
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