WANG Qi 王琦

The publisher:管理员Delivery time:2024-11-01Views:10




WANG Qi

Professor and Doctor

Tel.:+86-13752538532

E-mail: wangqitju@163.com



Introduction

Dr. Qi Wang is a professor in School of Electronic & Information Engineering, Tiangong University. She is also the deputy director of Electrical Tomography Institute in Tiangong University. She was a visiting scholar at the Agile Tomography Lab in the University of Edinburgh. She awards young and middle-aged backbone innovative talent and “131” innovative talent. She awarded 5 research grants by external funding bodies as a PI and published about 30 papers in leading journals. She serves as a Youth Working Committee Member of the Chinese Association for Artificial Intelligence (CAAI). Her research interests include process tomography, image reconstruction and intelligent information processing.


Research areas

  1. Intelligent Information Processing

  2. Electrical/Electromagnetic Detection

  3. Embedded System


Main courses taught

  1. Medical Imaging Technology

  2. Digital Image Processing

  3. Virtual Instrument Technology


Main publications

1. Wang Qi, Guo Zinan, Wang Jie, Zhang Ronghua, Li Xiuyan, Duan Xiaojie, Sun Yukuan, Sun Wen, Wang Jianming, Online monitoring of ultrafiltration membrane fouling based on EIT sparse imaging. IEEE Transactions on Instrumentation and Measurement, 2022, vol. 71: 4506511.

2. Wang Qi, Zhang Hanyu, Li Xiuyan, Duan Xiaojie, Wang Jianming, Zhang Ronghua, Zhang Hong, Ma Yanhe, Wang Huaxiang and Jia Jiabin. Error-constraint deep learning scheme for electrical impedance tomography. IEEE Transactions on Instrumentation and Measurement, 2021, vol. 71: 4501311.

3. Wang Qi, Wang Jianming, Li Xiuyan, Duan Xiaojie, Zhang Ronghua, Zhang Hong, Ma Yanhe, Wang Huaxiang and Jia Jiabin. Exploring respiratory motion tracking through electrical impedance tomography. IEEE Transactions on Instrumentation and Measurement, 2021, vol. 70: 4504712.

4. Wang Qi, Dou Chang, et. al, Monitoring of membrane integrity based on electrical measurement and deep learning, IEEE Sensors Journal, 2020.

5. Wang Qi, Li Kun, Zhang Ronghua, Wang Jianming, Sun Yukuan, Li Xiuyan, Wang Huaxiang, Sparse defects detection and 3D imaging based on electromagnetic tomography and total variation algorithm, Review of Scientific Instruments, 2019, 90: 124703.