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学术报告:利用AI和软件工程实现自动驾驶
[ 来源: 计算机与网络空间安全学院 ] 2019/10/14 8:35:00

报告题目:Leveraging  AI and Software Engineering for Autonomous Driving (利用AI和软件工程实现自动驾驶)

报告时间:2019年1014日(周)下午15:00

报告地点:信息与科学技术学院1楼报告厅

报告人:James Zheng

报告人单位:澳大利亚麦考瑞大学

报告人简介: 

郑曦博导/教授 UT奥斯汀(一贯排名前5在世界计算机科学201819两年排名中排名第2-3) 获得软件工程博士学位。新南威尔士大学计算机与信息科学硕士复旦大学计算机信息系统学士澳大利亚Menulog公司(澳大利亚外卖公司)首席解决方案架构师。现任澳大利亚麦考瑞大学Macquarie University软件工程副主任和外事主任 郑教授专门从事自动化系统安全和可靠性分析,服务计算和动作识别。在顶尖期刊和会议上发表了60多份高质量的出版物 其中SCI 检索论文30多篇,EI 检索论文若干2017年获得澳大利亚分布式计算和博士学位会议最佳论文2016年获得迪肯研究杰出奖。他的一篇关于系统安全的文章在2018世界知名期刊CCPE里获得世界前20影响力奖项。2018郑教授的另一篇关于物联网安全的文章获得高引。2019年关于传感器混合学习的文章被影响因子22IEEE Communications Surveys and Tutorials录取。郑教授在多个世界顶级会议和期刊里担任期刊编辑和评审会委员,同时也在顶级会议里担任大会主席。

 

报告摘要:

 郑教授将首先介绍自动驾驶汽车的一些实际工业要求和研究中遇到的挑战。 然后讨论可以解决这些问题的研究工作,主要涉及针对自动驾驶系统的培训,测试和异常检测以及驾驶员行为检测。内容丰富广泛,涵盖了自动驾驶汽车安全和保障方面的一些最有趣的研究问题和方向,以及与人类车辆的交互作用演讲内容既适合研究人员进一步学习,也适合学生 了解研究人员如何解决现实问题。

 

报告大纲:

  1.  Autonomous Vehicle and Challenges自动驾驶汽车与挑战

  2.  Software Engineering and Our Approach软件工程与我们的方法

  3.  AI and Our Approach人工智能与我们的方法

  4.  Ongoing and Future Work正在进行未来的工作

     

 

附:英文简介和演讲摘要

Dr.  James Xi ZhengPhD 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 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 top journals and conferencesPerCOM, ICSE,  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.

 

 

Abstract: In this talk, I will first walk through some real 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.

该文发表于 2019/10/14 8:35:00 已被 编辑 2019/10/14 8:38:00
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