EstateSense : A Scalable Distributed Edge AIoT System for Smart Estates (以英文演講)
- 講者Hock Beng Lim 博士 (Center for Smart Systems, Singapore University of Technology and Design (Singapore))
邀請人：陳伶志 - 時間2023-12-08 (Fri.) 10:00 ~ 12:00
- 地點舊館108會議室
摘要
The Artificial Intelligence of Things (AIoT) is the combination of Artificial Intelligence (AI) technologies with the Internet of Things (IoT) infrastructure. Edge AI is the implementation of AI models on edge devices. Edge AIoT is the symbiosis of AIoT and Edge AI
technologies, where sensor data is collected and processed using AI models at the edge. Smart Estates can make use of Edge AIoT systems to improve estate maintenance and the living experience of residents. The key challenge is to design an Edge AIoT system that is scalable, distributed and secure. We are developing EstateSense, an Edge AIoT system for smart estates to
address this challenge. EstateSense provides an operational platform to efficiently support sensor deployments and device management. It also provides an experimental Edge AIoT testbed to support algorithm and use case development. We are developing efficient edge-oriented distributed processing algorithms, and suitable AI/ML models to support several
use cases. Finally, we are developing a cybersecurity scheme to protect the edge gateways in the system. The Artificial Intelligence of Things (AIoT) is the combination of Artificial Intelligence (AI) technologies with the Internet of Things (IoT) infrastructure. Edge AI is the implementation of AI models on edge devices. Edge AIoT is the symbiosis of AIoT and Edge AI
technologies, where sensor data is collected and processed using AI models at the edge. Smart Estates can make use of Edge AIoT systems to improve estate maintenance and the living experience of residents. The key challenge is to design an Edge AIoT system that is scalable, distributed and secure. We are developing EstateSense, an Edge AIoT system for smart estates to
address this challenge. EstateSense provides an operational platform to efficiently support sensor deployments and device management. It also provides an experimental Edge AIoT testbed to support algorithm and use case development. We are developing efficient edge-oriented distributed processing algorithms, and suitable AI/ML models to support several
use cases. Finally, we are developing a cybersecurity scheme to protect the edge gateways in the system.
technologies, where sensor data is collected and processed using AI models at the edge. Smart Estates can make use of Edge AIoT systems to improve estate maintenance and the living experience of residents. The key challenge is to design an Edge AIoT system that is scalable, distributed and secure. We are developing EstateSense, an Edge AIoT system for smart estates to
address this challenge. EstateSense provides an operational platform to efficiently support sensor deployments and device management. It also provides an experimental Edge AIoT testbed to support algorithm and use case development. We are developing efficient edge-oriented distributed processing algorithms, and suitable AI/ML models to support several
use cases. Finally, we are developing a cybersecurity scheme to protect the edge gateways in the system. The Artificial Intelligence of Things (AIoT) is the combination of Artificial Intelligence (AI) technologies with the Internet of Things (IoT) infrastructure. Edge AI is the implementation of AI models on edge devices. Edge AIoT is the symbiosis of AIoT and Edge AI
technologies, where sensor data is collected and processed using AI models at the edge. Smart Estates can make use of Edge AIoT systems to improve estate maintenance and the living experience of residents. The key challenge is to design an Edge AIoT system that is scalable, distributed and secure. We are developing EstateSense, an Edge AIoT system for smart estates to
address this challenge. EstateSense provides an operational platform to efficiently support sensor deployments and device management. It also provides an experimental Edge AIoT testbed to support algorithm and use case development. We are developing efficient edge-oriented distributed processing algorithms, and suitable AI/ML models to support several
use cases. Finally, we are developing a cybersecurity scheme to protect the edge gateways in the system.
BIO
Hock Beng Lim is the Co-Director 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 IoT and edge computing, cyber-physical systems, cloud computing, participatory and urban sensing,
smart cyberinfrastructure and data management, and AI and data analytics.
smart cyberinfrastructure and data management, and AI and data analytics.