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