Prof. Chaoran Liu | Microsystems Award | Best Researcher Award

Prof. Chaoran Liu | Microsystems Award | Best Researcher Award 

Prof. Chaoran Liu, Hangzhou Dianzi University, china

Chaoran Liu is a distinguished professor at Hangzhou Dianzi University, where he has been shaping the field of microelectronics and solid-electronics since January 2021. Dr. Liu earned his Ph.D. in Microelectronics and Solid-electronics from the Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, in September 2017. Prior to that, he completed his Master’s in Physical Electronics and his Bachelor’s in Electronics Science and Technology at Zhengzhou University. With a career spanning both academic and practical realms, Dr. Liu’s research interests include MEMS sensors, flexible wearable sensors, triboelectric nanogenerators, smart sensor systems, and integrated circuits. His work is pivotal in advancing sensor technology and its applications, reflecting his deep commitment to innovation and excellence in the field.

Professional Profile:

ORCID

Education:

  • Ph.D. in Microelectronics and Solid-Electronics
    Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, China
    September 2014 – September 2017
  • M.E. in Physical Electronics
    College of Physical Engineering, Zhengzhou University, China
    September 2011 – March 2014
  • B.S. in Electronics Science and Technology
    College of Physical Engineering, Zhengzhou University, China
    September 2007 – July 2011

Work Experience:

  • Associate Professor / Professor
    Hangzhou Dianzi University, Hangzhou, China
    January 2021 – Present
  • Lecturer
    Hangzhou Dianzi University, Hangzhou, China
    September 2017 – December 2020

Publication top Notes:

A self-powered and high sensitivity acceleration sensor with V-Q-a model based on triboelectric nanogenerators (TENGs)

A silicon nanowire array biosensor fabricated by complementary metal oxide semiconductor technique for highly sensitive and selective detection of serum carcinoembryonic antigen

Harvesting ultralow frequency (< 1 Hz) mechanical energy using triboelectric nanogenerator

Self-propelled droplet-based electricity generation

A self-powered acceleration sensor with flexible materials based on triboelectric effect