Dr. Xu’s research is on the interactions of computer systems and applications. It studies systems support for emergent applications and investigates novel ways of design and implementation of applications enabled by latest advance of systems.
Current Key Projects
Autonomous driving has become an emerging disruptive technology with big impact on our life, economy, and society. This project aims to deal with challenging issues in autonomous driving by utilizing technologies like AI, big data, smart sensing, vehicular networks, and cooperative intelligence. Focus is on the issues due to open and uncertain driving environments and large scale hybrid scenarios with human-driving and self-driving coexistence. Objective is to build a first-class vehicle-infrastructure integrated, cooperative intelligent self-driving test bed in Macau and greater bay area of China and a powerhouse for learning and practice of emerging autonomous driving technologies.
Cloud computing, as a driving force of next generation of IT, plays increasingly important roles in economy and society. Its underlying datacenters have been a national key infrastructure, which largely determine the competitiveness of digital economy. Current cloud datacenters need to deal with three fundamental issues: ultra large system scale with hundreds of thousands of servers, heterogeneous resource configuration due to iterative upgrade of software and hardware, and open application scenarios with various types and characteristics. Cloud computing businesses like Alibaba faces more challenges in the provisioning of micro-second response time in highly concurrent application scenarios. This project aims to explore the opportunity of software-defined datacenter architecture and develop intelligent management and control systems for cloud datacenters by a full stack design from underlying architectures to applications. It endeavors to resolve the conflicts between cloud user experience and datacenter resource utilization with a pilot demonstration in Alibaba Cloud.
Please refer to http://cloud.siat.ac.cn for more information about the project.
Small and medium-sized cities accounts for more than 90% of the total number of cities in China. They are the main battlefields of novel urbanization and smart city construction. S&M cities generally have problems such as backward information infrastructure, large differences in service demand, and low resources for IT infrastructure, which limit the deployment and application of traditional smart city systems and technologies. Their smart city construction faces challenging problems: (1) sparsity and bias of perceived data, (2) diverse and complex cognitive scenarios, (3) and limited and inefficient system resources. To copy with the problems, this project systematically studies the whole process of smart city technologies from data perception, knowledge fusion, dynamic cognition, to computing. It is expected to form a set of theoretical methods and technical tools, and build up an open city brain platform of high performance, low energy consumption, and low management cost. The systems and tools will be demonstrated in a number of S&M cities.
Please refer to http://cloud.siat.ac.cn/citybrain for more information about the project.
Dr. Xu’s research team is comprised of an elite group of students and research associates, who actually conduct the nuts and bolts of the research. Most of his former PhD students and post-docs have escaped to academic positions or major industrial labs. For information about research teams he is affiliated with, please refer to State Key Laboratory of Internet of Things for Smart City, Center for AI and Robotics (CAIR), and Center for Cloud Computing for details.
Dr. Xu continuously looks for self-motivated and hard-working students to join force. Financial support is available for those who have demonstrated passion and commitment for their work.