Institute of Information Science Academia Sinica
Topic: Distributed and Edge-oriented AIoT Infrastructures for Smart Cities
Speaker: Dr. Hock Beng Lim (Director, Research and Development Center for Smart Systems Singapore University of Technology and Design)
Date: 2019-12-04 (Wed) 10:00 – 12:00
Location: Auditorium106 at IIS new Building
Host: Ling-Jyh Chen

Abstract:

The Artificial Intelligence of Things (AIoT) is the combination of Artificial Intelligence (AI) with the Internet of Things (IoT) infrastructure to provide more efficient IoT operations, improve human-machine interactions and enhance data management and analytics. The key challenge is how to enable AIoT infrastructures to be smart, easy to manage and scalable. To address this challenge, we have developed a virtualization-based IoT gateway to support sensor nodes with heterogeneous network protocols, and an ontology-driven AIoT infrastructure to ease deployment and enhance scalability.

Our AIoT infrastructure is distributed and edge-oriented, with the edge nodes being powerful enough to run machine learning models for event detections and preliminary analysis. The event detection and preliminary analysis results, together with the relevant sensor data, are sent to the cloud backend for detailed processing. As a use case for AIoT infrastructures, we are designing and implementing distributed person re-identification techniques for video surveillance in Smart Cities.


BIO:

Hock Beng Lim is the Director, Research and Development of the Center for Smart Systems (CS2) at the Singapore University of Technology and Design. He received his BS in Computer Engineering, MS in Electrical Engineering, and PhD in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign, and his MS in Management Science and Engineering from Stanford University. His research interests include sensor networks and IoT, cyber-physical systems, wireless and mobile networks, participatory and urban sensing, cloud computing, smart cyberinfrastructure, data management and analytics, and edge-oriented AI infrastructure.