报告时间：2018年1月4日上午9:00（周四）
报告地点：安徽大学磬苑校区计算机学院理工D楼D410
报告人：James Zheng(assistant professor), Dr. Julius Lu (Jianchao Lu)
主办单位：计算机科学与技术学院
欢迎各位老师、同学届时前往！
科学技术处
2017年12月25日
IoT and Service Computing Research Prospect
报告人简介：
Dr. James 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 assistant professor/lecturer in Software Engineering at Macquarie University.Specialized in Service Computing, IoT Security and Reliability Analysis. Published more than 30 high quality publications in top journals and conferences（PerCOM, ICSE, ICCPS, IEEE Systems 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.Reviewer for top journals and conferences（IEEE Systems Journal, ACM Transactions on Design Automation of Electronic Systems, Pervasive and Mobile Computing, IEEE Transaction on Cloud Computing, PerCOM).
Abstract:
In this talk, I will first walk through some real industrial requirements and research challenges in Service computing and Internet of Things (IoT). I will then talk about research works which can potentially solve these issues, mainly covering fog computing, micro service, and some formal approach to secure IoT. The talk will be broad but covering some state of the art interesting research questions and directions in Service Computing and IoT, 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.
Wearable Human Activity Recognition (HAR) and its Applications
Abstract:
This talk will first go through some current global health problems and give a brief idea on why HAR on wearable devices can help to reduce these health risks. And then a typical flowchart of sensor-based HAR will be discussed to provide a general overview about HAR systems. In order to provide an overview of HAR analysis, some case studies will be reviewed and evaluation techniques will be compared. After that our previous works and current project on Non-Invasive Sensor-based Automated Online Smoking Behavior Detection and Health Recommender System will be introduced.
Bio:
Jianchao Lu, research associate and PhD candidate in IoT Software Engineering group at Macquarie University.