James Zheng

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.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 80  high quality publications in top journals and conferences（PerCOM, 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.

Research Interests

• Design and implementation of middlewares for Cyber Physical Systems (CPS, Internet of Things (IoT), and Service Computing in general
• Reliability and security engineering for CPS, IoT, and Service Computing applications (e.g., using runtime verification, formal verification, test driven development, and machine learning algorithms)
• Apply real time simulation to aid verification and validation of CPS and IoT applications
• Sensing, recognition and modeling of human motions (along with some endangered/dangerous animals) for various real-world applications 
• Machine learning and data analytics
• Humanoid robotics (multi-agent systems, robotics motions, SLAM algorithms, and reliability engineering)

Current Research Projects

• Secure modern vehicle systems which includes building real-time simulation of CAN bus,Infotainment Systems, and VANETS
• Apply real time simulation to aid verification and validation of CPS and IoT applications
• Using MicroServices and Fog/Edge Computing to assist developing and deploying SaaS applications
• Create sensor networks middleware for assisted living
• Build health intervention systems for addicted people in drugs, alcohols, and smoke
• Build human motion detection middleware and devices for sports training
• Build robust humanoid robotics applications (e.g., Robocup)