Advancing Ambient Intelligence with AIoT Systems for Smart Health

Speaker: Dr. Xiaomin Ouyang
         Assistant Professor
         Department of Computer Science & Engineering
         Hong Kong University of Science and Technology

Title: "Advancing Ambient Intelligence with AIoT Systems for Smart Health"

Date:  Monday, 11 November 2024

Time:  4:00pm - 5:00pm

Venue: Lecture Theater F
       (Leung Yat Sing Lecture Theater), near lift 25/26
       HKUST


Abstract:

Nowadays Internet of Things (IoT) and mobile devices are all around our
daily lives, offering the capabilities of in-situ sensing and networked
computing across connected devices. Over the past years, we have seen the
breakthroughs of artificial intelligence (AI). In this talk, we will
discuss our work to empower IoT and mobile devices with AI to create
ambient intelligence, facilitating real-world applications, particularly
in smart health. I will first introduce how we address real-world
challenges we face in advancing AI within practical IoT systems, such as
distributed and imperfect IoT data, limited resources, system dynamics and
scalability. Next, I will talk about our work on physical-strengthened AI
techniques for enhancing the sensing capabilities of these devices.
Finally, I will introduce the design and deployment of an end-to-end
system that can detect multidimensional digital biomarkers for Alzheimer’s
Disease in natural living environments. I will also share the latest
research and future directions for our lab.


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Biography:

Xiaomin Ouyang is an Assistant Professor at the Department of Computer
Science & Engineering, Hong Kong University of Science and Technology.
Previously, she was a postdoctoral researcher at UCLA and received her
Ph.D. degree from CUHK in 2023. Her research interest is building
AI-powered mobile and IoT systems for smart health applications. She
received the ACM MobiSys 2023 Best Paper Award and ACM SIGBED China
Outstanding Doctoral Dissertation Award. She was named one of EECS Rising
Stars in 2023 and mHealth Scholars by NIH in the U.S. in 2024.