Towards Sensing Intelligence with Ambient Systems

Speaker: Dr. Dongyao CHEN
Shanghai Jiao Tong Univ.

Title: Towards Sensing Intelligence with Ambient Systems

Date: Monday, 3 March 2025

Time: 4:00pm - 5:00pm

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

Abstract:

Recent advancements in cyber-physical systems—such as wearable devices, virtual reality, and robotics—are transforming how we live, work, and commute. These fast-emerging technologies lead to various unprecedented sensing requirements—for example, can we seamlessly capture human motion on a millimeter scale? Is it possible to accurately model our subconscious behaviors? In this talk, I will first present my recent efforts in developing novel magnetic sensing systems. These systems pave pathways for achieving ultra-accurate sensing accuracy with minimum overheads, thus facilitating essential applications exemplified by at-home healthcare and sports analytics. I will show how to characterize our habits, e.g., driving behaviors, with ambient sensors such as inertial measurement units (IMUs) embedded in our everyday electronics. Moreover, I will introduce my works on protecting user’s privacy in the era of pervasive sensing. Finally, I will conclude by outlining key challenges and future directions in next-generation sensing systems and beyond.

Biography:

Dongyao Chen is an Assistant Professor of Computer Science at Shanghai Jiao Tong University (SJTU). He received his Ph.D. in Computer Science and Engineering from the University of Michigan - Ann Arbor in 2020, advised by Prof. Kang G. Shin. His research interests lie in mobile sensing, interactive systems, and security/privacy issues of emerging sensing technologies. His research has been published in conferences such as MobiCom, MobiSys, UbiComp, SenSys, and CCS. He recently received the Best Paper Award at VehicleSec 2023. Based on the technologies developed in his works, he co-founded DriverX, a mobile telematic startup focusing on democratizing AI-powered sensing systems for making roads safer.