Topic：Sensing-of-Everything (SoX)

Speaker：Prof. Xiaodong Chen

Time：10:00 AM, November 15 2022(Beijing)

Sponsor：Soft Science

直播地址：

Host: Dr. Cunjiang Yu, Pennsylvania State University, University Park, United States.

Speaker:

Prof. Xiaodong Chen

Nanyang Technological University, Singapore.

Professor Xiaodong Chen is the President’s Chair Professor in Materials Science and Engineering, Professor of Chemistry (by courtesy) and Medicine (by courtesy) at Nanyang Technological University, Singapore (NTU). He is also the scientific director and principal scientist at the Institute of Materials Research and Engineering (IMRE) at A*STAR, Singapore. His current research interests include mechano-materials science and engineering, flexible electronics technology, sense digitalization and cyber-human interfaces and systems. He has been elected as Fellow of Singapore National Academy of Science and the Academy of Engineering Singapore. Prestigious accolades for his exceptional scientific contributions include the Singapore President Science Award, Singapore National Research Foundation (NRF) Investigatorship, Singapore NRF Fellowship, Winner of Falling Walls, and Friedrich Wilhelm Bessel Research Award. He serves on the editorial advisory board for numerous global journals and is currently the Editor-in-Chief of ACS Nano.

Abstract

The fast-evolving technologies on the Internet of Things, 5G, big data, and autonomous vehicles are driving massive digitization in almost every aspect of life. Sensors, the node that translates the physical world into digital data, plays an integral role in this pursuit, enabling the rapid integration and deployment of AI and IoT-enabled solutions. To collect high-quality data and generate insightful readouts from a diverse range of physical objects and environments, i.e., to realize ‘Sensing-of-Everything’ (SoX), we identified three key challenges. The first key challenge, Sensing on Everything, is collecting data on unconventional objects such as the soft and dynamic human body. The second challenge, Sensing to Everything, relates to syncing communication between electronics and biology and achieving efficient data transmission between devices. The third challenge, Sensing for Everything, will be generating intelligible feedback from sensor data in vast applications. In this talk, I will discuss how our research on flexible electronics technology tackles the three challenges through materials engineering, device architecture innovations and system integration, and machine learning-assisted data analysis towards artificial sensation.