Pervasive healthcare, also sometimes referred to as ubiquitous healthcare, is a research field that focuses on developing healthcare solutions that are seamlessly integrated into everyday life, making healthcare services available anytime and anywhere. It merges concepts from pervasive computing with health and wellness care to create solutions that are woven into the daily routines of individuals. In light of the increasing availability of diverse data sources, such as user-environment contexts and ambient sensor signals, this talk will explore the new challenges and opportunities in developing mobile analytics systems to empower pervasive healthcare. We will begin by introducing these challenges and opportunities, followed by presenting two mobile analytics systems designed for personal and public health. These systems illustrate how mobile analytics can enhance pervasive healthcare. Finally, we will discuss future directions for integrating mobile analytics into the pervasive healthcare landscape.
Ms Zhihan Jiang is a third-year PhD student from the Department of Electrical and Electronic Engineering at HKU, working under the supervision of Dr. Edith C.H. Ngai. She received the B.E. and M.E. degrees in Computer Science and Technology from Xiamen University. Her research interests include Data Analytics and Visualization, Ubiquitous Computing, and Mobile Computing. Her current research focuses on developing mobile health analytics systems for pervasive healthcare. Please visit her website zhihanjiang.com for more information.
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.
