Electrical Engineering

Hui Liu

Date:2019-04-15 Click:

Name Hui Liu

Professional TitleAssociate Professor

Research Interests Intelligent sprayer and controller, Power quality analysis, Machine learning, Robtics vision

Agricultural robot, Biomedical signal process

E-mailamity@ujs.edu.cn

Research Projects

[1]Hui Liu, etc. “Development of unmanned precision variable-rate sprayer and research on its pesticide reduction application”funded by Jiangsu Provincial Key Research and Development Program (Grant No. BE2018372).

[2]Hui Liu, etc. “AgriRobot: autonomous agriculture robot system for precision spraying”funded by Jiangsu International Science and Technology Cooperation Project (Grant No. BZ2017067).

[3]Hui Liu, etc. “Study of a laser sensor-guided variable-rate sprayer to match various canopy characteristics under field environment for orchard spray applications” funded by National Natural Science Foundation of China (Grant No. 51505195).

[4]Hui Liu, etc. “Study of automatic target detection and intelligent spray system” funded by National Science Foundation for Post-doctoral Scientists of China (Grant No. 2014M550272).

[5]Hui Liu, etc. “Study of laser sensor-guided variable-rate sprayers using multi-information integrated decision methods” funded by Natural Science Foundation of Jiangsu Province, China (Grant No. BK20130501 ).

Selected Publications

[1]Hui Liu, Fida Hussain, Yue Shen. Power quality disturbances classification using compressive sensing and maximum likelihood. IETE Technical Review. 2018, 35(4):359-368.

[2]Hui Liu, Fida Hussain, Yue Shen, Sheeraz Arif, Aamir Nazir and Muhammad Abubakar, Complex power quality disturbances classification via curvelet transform and deep learning. Electric Power Systems Research, 2018,163,Part A, 1-9.

[3]Liu, H., Zhu, H. Evaluation of a laser scanning sensor in detection of complex-shaped targets for variable-rate sprayer development [J]. Transactions of the ASABE, 2016, 57(5):1181-1192.

[4]Liu, H., Zhu, H., Shen, Y., Ozkan, H.E. Development of digital flow control system for multi-channel variable-rate sprayers. Transactions of the ASABE. 2014, 57(1): 273-281.

[5]Liu H, Hussain F, Yue S, etc. Classification of multiple power quality events via compressed deep learning. Int Trans Electr Energ Syst. 2019. https://doi.org/10.1002/2050-7038.12010.