Songfan Li (李松璠)

I am currently a postdoctoral fellow in the Department of Computer Science and Engineering (CSE) at HKUST, under the supervision of Prof. Mo Li. I am fortunate to receive guidance from Prof. Mo Li both at HKUST and previously at NTU (as a research fellow from July 2023 to October 2023 and as a visiting student from May 2021 to September 2022). I obtained my Ph.D. in 2022 from the University of Electronic Science and Technology of China (UESTC), where I had the privilege of being supervised by Prof. Li Lu. For more information, please refer to my CV.

My research goal is to enable ubiquitous instrumentation of the physical world, anytime and anywhere. I am currently focusing on ultra-low power enabling techniques for the Internet of Things (IoT). I am deeply interested in enabling new paradigms of communication and computing on energy-constrained IoT devices, as well as optimizing power in IoT end devices while retaining their desired functions. My recent work involves shifting sensor control and data processing from IoT end devices to gateways, thus enabling remote computation and device management at the gateway (see R2B). This technique has been further extended to RFID sensing systems, which provides a lightweight and low-cost solution for versatile RFID applications (see Go beyond RFID). Additionally, I have extensively studied zero-power wireless communication and developed an ultra-low power spread-spectrum technique to address existing backscatter system challenges (see Passive DSSS). There are some keywords related to my research: