RIAIoT Distinguished Speaker Series - Edge Computing for Dependable Internet of Things

Abstract
Internet of Things (IoT) are evolving from best-effort applications to mission-critical domains from Industry4.0 to smart healthcare. These transformative applications must achieve dependability in multiple dimensions: optimizing control  performance while maintaining stability in unpredictable environments, making robust predictions based on noisy and incomplete sensing data, and meeting stringent timing and reliability requirements on edge computing platforms. This talk will introduce three research thrusts to tackle these emerging dependability challenges: (1) Holistic Control that achieves resilient and performant control of physical plants through the orchestration of local and edge controllers; (2) Internet of Medical Things that predict clinical outcomes with a robust machine learning pipeline for wearable data in the presence of prevalent data loss and sensing noise; (3) RT-Zookeeper that provides timely failure recovery in a distributed coordination service tailored for edge platforms.

About the Speaker

Chenyang Lu is the Fullgraf Professor in the Department of Computer Science and Engineering at Washington University in St. Louis. His research interests include cyber-physical systems, embedded and real-time systems, Internet of Things, and clinical AI. He is Editor-in-Chief of ACM Transactions on Cyber-Physical Systems. He also served as Editor-in-Chief of ACM Transactions on Sensor Networks, Chair of IEEE Technical Committee on Real-Time Systems (TCRTS), and Program/General Chair of the leading conferences in real-time systems (RTSS, RTAS), Internet of Things (SenSys), and cyber-physical systems(ICCPS). He is a Fellow of ACM and IEEE.