RESEARCH

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.

  • As computer systems become more and more networked and complex, new foundations are needed for understanding and controlling their integral properties. Dr. Xu’s research on one hand is dedicated to the investigation, establishment, and experimental evaluation of new theoretical foundations and system artifacts to significantly improve the systems performance, availability, security, and energy efficiency. Recent work focused on resource management in cloud-native datacenters, edge-cloud infrastructure for AI apps (e.g. perception, cognition and decision in self-driving).
  • On the other hand, Dr. Xu’s research looks into smart city applications and intelligent transportation, in particular, and develops autonomous, pervasive, privacy-preserving technologies for data analytics and data-driven intelligence. Recent emphasis is on automatic machine learning, deep federated reinforcement learning for smart city and autonomous driving, and autonomous driving applications.

Current Key Projects

  • Principal Investigator: Chengzhong Xu, University of Macau
  • Funded by FDCT under grant 0015/2019/AKP, the Foundation of Science and Technology,  Macao SAR
  • Period: Jan 2020 to Dec 2022

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.

See HERE for recent reports, and THERE for representative work. For more info, MoCAD about the project.

Cooperative Partners:

  • 澳門大學
  • 中科院深圳先進技術研究院
  • 國防科技大學
  • 百度
  • 深圳海梁科技
  • Principal Investigator: Chengzhong Xu, University of Macau
  • Funded by the Key Area R&D Program of Guangdong Province under grant 2020B010164003
  • Period: Jan 2020 to Dec 2022

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.

Cooperative Partners

  • Shenzhen Institutes of Advanced Technology, CAS
  • University of Macau
  • Shanghai Jiaotong University
  • Institute of Computing Technology, CAS
  • Nanjing University
  • Beijing University
  • Sun Yat-sen University
  • South China University of Technology
  • Alibaba Cloud
  • Principal Investigator: Chengzhong Xu, University of Macau
  • Funded by Key Program on Smart City, Ministry of Science and Technology under grant 2019YFB2102100, China
  • Period: Dec 2019 to Nov 2022

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.

Cooperation Partners:

  • 阿裡雲
  • 澳門大學
  • 北京航空航太大學
  • 華南理工大學
  • 中科院深圳先進技術研究院
  • 浙江之江實驗室
  • 杭州電子大學
  • 高德地圖
  • 中國城市規劃設計研究院
  • 中景恒基 
  • Cloud Resource Management for Microservices 
  • Cloud Robotics and Self-Driving Vehicle 
  • Wireless Power Transfer, Positioning and Localization in IoT
  • Intelligent Transportation and Smart City
  • Edge AI: Edge System Support for ML and Data-Intensive Applications

Research Group

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 CityCenter 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.