The Artificial Intelligence of Things (AIoT) is the combination of Artificial intelligence (AI) with the Internet of things (IoT) to enable autonomous decision-making, data analytics, and system optimization. AIoT for smart cities allows the collection of enormous sensor data for a better understanding of the environment, human behaviors, and city operations, which leads to more efficient resource management and promotes a sustainable and healthier society. The Smart Water Auditing project aims to use IoT and machine learning to provide insights into how water is being used in the households of Hong Kong to reduce the consumption of water and raise awareness of people’s water consumption habits. Our talk will present our design workflow, IoT infrastructures, machine learning algorithms, and experimentation for water end-use disaggregation in Hong Kong.
Dr Edith Ngai is currently an Associate Professor in the Department of Electrical and Electronic Engineering, The University of Hong Kong. Before joining HKU in 2020, she was an Associate Professor in the Department of Information Technology, Uppsala University, Sweden. Her research interests include Internet-of-Things, machine learning, data analytics, and smart cities. She was a VINNMER Fellow (2009) awarded by Swedish Governmental Research Funding Agency VINNOVA. She is a Fellow of Centre for Water Technology and Policy at HKU. She served as a program chair in ACM womENcourage 2015 and a TPC co-chair in IEEE SmartCity 2015, IEEE ISSNIP 2015, and IEEE GreenCom 2022. She was an Area Editor of IEEE Internet of Things Journal from 2020 to 2022. She is currently an Associate Editor in Ad Hoc Networks, Computer Networks, and IEEE Transactions of Industrial Informatics. She was a project leader of the “Green IoT” in Sweden, which was selected on IVA’s 100-list by the Royal Swedish Academy of Engineering Sciences in 2020. She is one of the HKU scholars in the top 1% worldwide in 2021 and 2022. She received a Meta Policy Research Award in Asia Pacific in 2022. She was elected as one of the IEEE N²Women Stars in Computer Networking and Communications in 2022. She is a distinguished lecturer in IEEE ComSoc in 2023-2024.
Clean water and clean air are vital for public health. This project focuses on developing high-efficiency and environmentally sustainable filters for removing harmful air/water pollutants. The team has developed novel architectures and functionalities for the filters to achieve high permeance, high removal efficiency, and excellent reusability.
