Head, Communications and Networks Cluster at Institute for Infocomm Research, Lead PI, Industrial Internet of Things Research Program, A*STAR, Singapore
Sumei SUN has been with the Institute for Infocomm Research (I2R) since 1995. She is now Head of the Communications and Networks Cluster, and the lead principal investigator of the Industrial IoT Research Program at the Agency for Science, Technology, and Research (A*STAR) in Singapore, working toward developing competitive solutions to bridge gaps from research to industry in the digital transformation journey.
Dr Sun has authored and co–authored more than three hundred technical papers in prestigious IEEE journals and conferences. She's inventor and co-inventor of thirty granted patents and over thirty patent applications, many of which have been licensed to industry. She is a Fellow of the IEEE, a Distinguished Speaker in the IEEE Vehicular Technology Society, and Vice Director of IEEE ComSoc Asia Pacific Board (2016-2019). She's also the Wireless Systems Work Group Chair of Singapore Infocomm Media Development Authority's Telecommunications Standards Advisory Committee (TSAC) during 2015 – 2018, and Services and Digital Economy Technology Roadmap Workgroup Chair for Future Communications and Internet of Things.
Speech Title: Cognitive Industrial Internet of Things and 5G MTC’s Role
Abstract: Industrial internet of things (IIoT), by providing connectivity to machines, robots, and sensors, etc, enables data intelligence-assisted information technology (IT) and operation technology (OT) convergence. In IIoT, multi-disciplinary research on communications, storage, computing and data analysis, control and management, and security, as well as cross-disciplinary system-level design optimization is needed, with built-in autonomous learning and adaptation capabilities.
In this talk, we will start with a brief introduction to IIoT, and then share the IIoT research and design challenges. A design approach will then be proposed to overcome these challenges, under the theme of cognitive IIoT in which the device and the network will build up learning capabilities for context-aware resource, interference, and mobility management, automated fault detection and recovery, and robust connectivity; multi-modal security detection capability is incorporated into the device and network for real-time anomaly and security detection and management. The interactive and cooperative edge-cloud analytics will also be introduced to enable low-latency real-time actionable insight and robust feature engineering. Finally, the 5G’s role, especially the 5G machine-type communications (MTC), from both the massive MTC aspect, and the ultra-reliable low latency communications (uRLLC) aspect, will be discussed.
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