On November 20, 2023, the Faculty of Data Science of City University of Macau held an academic lecture titled "Towards Robust Autonomous Driving Systems" at CLG201B and invited Dr. Xi Zheng as the speaker. 

 

Dr. Zheng is currently the Vice Coordinator of Software Engineering and Coordinator of External Affairs at Macquarie University in Australia. Professor Zheng specializes in automation system safety and reliability analysis, service computing and action recognition. He has published more than 60 high-quality publications in top journals and conferences, including more than 30 SCI indexed papers and several EI indexed papers. He won the best paper at the Australian Distributed Computing and PhD Conference in 2017 and the Deakin Research Excellence Award in 2016. One of his articles on system security won the world's top 20 most influential awards in the world-renowned journal CCPE in 2018, and another article on the security of the Internet of Things received high citations. The 2019 article on sensor hybrid learning was accepted by IEEE Communications Surveys and Tutorials with an impact factor of 22. He has served as journal editor and review board member in many of the world's top conferences and journals and has also served as conference chairperson in top conferences. 

 

In his lecture, Dr. Zheng introduced the new challenges faced by autonomous driving systems (ADS) and how to improve the robustness and reliability of ADS through a combination of deep neural networks and logic module-based methods. In addition, he developed a method to generate test cases from traffic rules for testing autonomous driving models (TSE'22), and future work will be based on analyzing the robustness issues of deep learning-driven models (PerCom'20) and move toward incorporating formal guarantees into ADS testing. 

 

After the lecture, the students present showed great interest, actively asked questions and had in-depth exchanges with Dr. Zheng. This lecture increased the students' understanding of autonomous driving technology and stimulated their enthusiasm for research in the field of autonomous driving.