Research Direction

Analog front-end chips and image algorithm systems for multispectral imaging applications

Mixed-signal analog front-end and algorithmic processing chips for smart sensing applications in low-altitude economy, aerospace, and smart grids

Smart sensor chips and systems for biomedical instruments and devices

Smart sensing related devices, models and process development

We welcome interested students to join us to pursue master's and doctoral degrees, and recruit postdoctoral fellows for a long period of time, with no less than 2 flows per year.

Meanwhile, we also welcome cooperation and exchange of related projects.

Introduction

In 2011, he received his PhD degree in microelectronics and solid state electronics from Fudan University, and then engaged in chip R&D and management in the industry after graduation. 2022, he joined Fudan University, and has been conducting research on digital-analog hybrid chip design and system application development, based on the research methodology of the “Art-Device-Circuit-System” industry chain synergy optimization, and with the industrial application as the traction, and is currently leading and participating in four national vertical projects. Based on the research methodology of “Art-Device-Circuit-System” industry chain synergistic optimization, he has been conducting research on digital-analog hybrid chip design and system application development with industrial application as the traction. He has cooperated with several domestic enterprises and institutes to develop a variety of chips and systems, which have been applied in the fields of low-altitude economy, aerospace, smart grid, and biomedicine.

Honors and Awards

Shanghai Young Top Talents

Shanghai Industry Elites

Golden Bridge Individual Award Second Prize