Project: VLC-enabled Energy Disaggregation
Host: TU Delft (Netherlands)
PhD: TU Delft (Netherlands)
Supervisor: Dr. Qing Wang
I was born in 1996 and raised in Chengdu, Sichuan, China, which is also the hometown of Panda. I received my B.Eng degree in communication engineering with distinction from Chongqing University, China, in 2017, and a master’s degree in electronics and communication engineering from the University of Electronic Science and Technology of China, China, in 2020. I am currently pursuing my Ph.D. degree at the Delft University of Technology (TU Delft), The Netherlands. My research interests include visible light communication and sensing, and machine learning for wireless networks and the Internet of Things.
Outside my academic interests, I enjoy playing computer games, reading novels and watching movies. If there is a chance in the future, I wish I could travel around the world.
Visible light communication (VLC) has been considered as one of the key technology for future 6G wireless networks. Recently, the latest trend toward narrow-bezel and no-bezel (i.e., full-screen) mobile phone designs to increase the screen-to-body ratio brings new challenges to VLC deployment, because there will be no space on the smartphone screen to place line-of-sight VLC receivers. In today’s most advanced narrow-bezel and no-bezel smartphones, traditional sensors such as fingerprint sensor, ambient light sensor and even cameras, have been deployed or are being evaluated under the screen. These modern designs bring new challenges and opportunities to the paradigm-shifting technology through-screen VLC and sensing because there are no line-of-sight links between the under-screen sensors and the VLC transmitter.
My main research goal is to study through-screen VLC, where the screen is a kind of blockage to the wireless communication using visible light. I need to design new systems, propose new modulation and demodulation schemes, and build proof-of-concept systems to recoup the efficient and promising VLC to work across screens. I will also exploit how to extend the above work to the sensing area, to sense across the screens for human movements, postures, and so on.