dst 20191206 zhexuanyuan

Dr. Zhe XUANYUAN
Associate Professor and Programme Director of Data Science, Division of Science and Technology
Director of Institute for Big Data Analytics and Applications
office: T3-602-R5

Curriculum Vitae

Education

Ph.D. in Electronic and Computer Engineering, Hong Kong University of Science and Technology
B.Eng. in Electronic Engineering, Peking University
B.Eng. in Mathematics (Minor degree), Peking University

Research Interests

Connected Intelligent Vehicles,
Cloud Computing and Big Data Analytics

Current Teaching

Data Structures and Algorithms
Machine Learning

Selected Publications
  • Yachen Zhang, Long Chen, Zhe XuanYuan and Wei Tian, “3D Cooperative Mapping for Connected and Automated Vehicles”, accepted by IEEE Transactions on Industrial Electronics, 2019
  • Zhe Xuanyuan, Boyang Li, Xinyi Zhang, Long Chen, Kai Huang, “Online Cooperative 3D Mapping for Autonomous Driving”, 2018 IEEE Intelligent Vehicles Symposium (IV'18), June 26-30, 2018 Best Workshop Paper Award
  • Chen, L., Sun, L., Yang, T., Fan, L., Huang, K., Zhe Xuanyuan, “RGB-T SLAM: A Flexible SLAM Framework By Combining Appearance and Thermal Information”. IEEE International Conference on Robotics and Automation, ICRA, May 29 - June 3, 2017
  • Chen, Weiwei, Chin-Tau A. Lea, Shiming He, and Zhe XuanYuan. "Opportunistic Routing and Scheduling for Wireless Networks." IEEE Trans. Wireless Communications 16, no. 1 (2017): 320-331.
  • Yuanzhe Xuan, and Chin-Tau Lea. "Discrete-bandwidth nonblocking networks." IEEE Transactions on Communications 61, no. 10 (2013): 4334-4342.
  • Yuanzhe Xuan and Chin-Tau Lea, "Network-coding multicast networks with QoS guarantees." IEEE/ACM Transactions on Networking (TON) 19, no. 1 (2011): 265-274.
Grants and Projects

PI, “Routing robustness optimisation in communication networks under uncertain traffic demands”, Natural science foundation of China, 2016/01-2018/12, 250,000.

PI, “Hybrid traffic engineering in dynamic demands”, Research fund for young scholars in Sun Yat-sen university, 67000-31610007 2016/01-2018/12, 150,000.

PI, “Intelligent connected vehicle:key technology and system implementation”, UIC research fund,  R201708, 2017-2019 200,000.

Co-PI, “Applying Big Data and Data Analytics in Market Risk Measurement”, UIC Research Grant, 2018-2020, 300,000.

Awards and Honors

Best special session/Workshop Paper Award in 29th IEEE intelligent vehicle symposium (IV2018)

Postgraduate Opportunities

I am currently looking for Mphil and Ph.D. Students for conducting research in artificial intelligence for autonomous driving technologies. Our current ongoing project involves building high definition maps for robot navigation efficiently using collaborative methods. We teach robots to understand the sensor data from camera, LIDAR, etc from semantic level and share their knowledge effectively with each other.

Interested student may contact me via email directly.