报告题目：Leveraging AI and Software Engineering for Autonomous Driving
报告嘉宾：郑曦 博士
主持人：崔来中 副教授
日 期： 2019年12月30日（ 星期一）
时 间： 10:00-11:30 AM
地 点： 致腾楼 (计算机与软件学院楼)623会议室

报告嘉宾简介

Dr.  James Xi Zheng，PhD in Software Engineering from UT Austin,  Master in Computer and Information Science from UNSW,  Bachelor in Computer Information System from FuDan;  Chief Solution Architect for Menulog Australia, now director of Intelligent systems research center (itseg.orgitseg.org - Center Description:The Intelligent Systems Research Center aims to bridge the gap between the research community and the industry community, and to bring the most brilliant research ideas to solve real-world challenges.itseg.org), deputy director of software engineering, global engagement, and assistant professor in Software Engineering at Macquarie University. Specialised in Service Computing, IoT Security and Reliability Analysis.  Published more than 60  high quality publications in world-renowned journals and conferences（PerCOM,  IEEE Communications Surveys and Tutorials,  IEEE Transactions on Cybernetics, IEEE Transactions on Industrial Informatics, IEEE Transactions on Vehicular Technology, IEEE IoT journal,  ACM Transactions on Embedded Computing Systems.  Awarded the best paper in Australian distributed computing and doctoral conference in 2017.  Awarded Deakin Research outstanding award in 2016.  His paper is recognized as a top 20 most read paper (2017-2018) in Concurrency and Computation: Practice and Experience. His another paper on IoT network security (2018) is recognized as highly cited paper.  Guest Editor and PC members for top journals and conferences (IEEE Transactions on Industry Informatics, Future Generation Computer Systems, PerCOM).  WiP Chair for PerCOM 2020 and Track Chair for CloudCOM 2019. Publication Chair for ACSW 2019 and reviewers for many Trans journals and CCF A/CORE A* conferences.

报告内容摘要

In this talk, I will first walk through some industrial requirements and research challenges in autonomous vehicles.   I will then talk about research works which can potentially solve these issues, mainly covering training, testing and anomaly detection for autonomous systems and driver behaviour detection. The talk will be broad but covering some state of the art interesting research questions and directions in autonomous vehicles safety and security assurance, and human vehicle interaction which shall be suitable both for researchers for in-depth enquiry and collaboration, and students who want to know how researchers can solve real-world issues.