Title   Think Big! Emerging Large-Area Electronics for Human-Cyber-Physical Systems    

9:30am - 10:30am
ZOOM: https://hkust.zoom.us/j/95411877021 Meeting ID: 954 1187 7021 Passcode: 590131

Future human-cyber-physical systems envision the integration of human cognition, machine perception, and environmental awareness. However, a critical challenge lies in the interfaces between these three domains, as they carry dramatically different natures, e.g., in form factors, scales, and information representations. In this talk, I will discuss the development of an emerging large-area electronics technology via device, circuit, and system co-designs, to enable (1) wireless RF sensing systems in a wallpaper fashion; and (2) biocompatible human-machine interfaces that are as soft and deformable as our human body. This allows the creation of seamless interfaces for extracting spatially coded, rich information from humans and the environment in a non-obtrusive way, to integrate with cyber systems.

講者/ 表演者:
Dr. Can Wu
Postdoctoral Research Scholar, Department of Chemical Engineering, Stanford University

Can Wu is currently a postdoctoral researcher at Stanford University. He received his Ph.D. in Electrical and Computer Engineering from Princeton University in 2021 and his B.S. degree from the Institute of Microelectronics at Tsinghua University in 2013. He develops large-area thin-film devices, circuits, and systems for wireless sensing and human-machine interfaces. His work has been recognized with the Best Student Poster Award at 2015 Flex Conference, Best Student Paper Award at 2019 Device Research Conference, and Top-Ranked Student Paper at 2023 IEDM. He is also the recipient of the Princeton University Gordon Wu Fellowship.

語言
英文
適合對象
教職員
研究生
主辦單位
電子及計算機工程學系
新增活動
請各校內團體將活動發布至大學活動日曆。