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WANG Dashuai

Research Assistant Professor
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Dr. Dashuai Wang received his Ph.D. degree from the College of Engineering, China Agriculture University in 2019. As a Research Assistant Professor, he joined the School of Microelectronics, Southern University of Science and Technology (SUSTech) in 2021. Prior to his appointment in SUSTech, he worked as a postdoctoral researcher in Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences and was awarded the title of Senior Engineer in 2022. Dr. Wang’s research focuses on Computer Vision (CV), Deep Learning (DL), Agricultural Robots (AR), Precision Agriculture (PA). He has a rich experience in the research on the intersection of CV, DL, AR and PA, and has authored and co-authored more than 15 publications in prestigious journals and conference proceedings. At present, as the project leader, he has been approved for EIGHT fund projects, including the National Natural Science Foundation of China, the Shenzhen Science and Technology Program, and the China Postdoctoral Science Foundation, etc. Additionally, he participated in FIVE high-level projects, such as the Shenzhen Joint Fund Project of the National Natural Science Foundation of China and Guangdong Provincial R&D Program in Key Fields.

Contact：wangds3@sustech.edu.cn

Educational Background

2013.09-2019.06, College of Engineering, China Agricultural University，Ph.D.
2017.09-2018.09, University of California at Davis, Electrical and Computer Engineering, Visiting Scholar
2009.09-2013.07, College of Engineering, China Agricultural University，Bachelor

Professional Experience

2022-06 to Present School of Microelectronics, Southern University of Science and Technology，Research Assistant Professor
2022.01-2022.06 Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences，Senior Engineer
2021.04-2021.12 Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Engineer
2019.07-2021.04 Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Post doctor

Research Interests

Computer Vision and Deep Learning Algorithms
Robot Intelligent Environment Perception and Obstacle Avoidance
Precision Agriculture (UAVs and DL in PA)

Honors & Awards

High-level Professional in Shenzhen (Reserve), 2021
National Scholarship for Chinese Doctoral Students, 2017

Selected Publication

[1] Dashuai Wang; Wei Li*; Xiaoguang Liu; Nan Li; Chunlong Zhang. UAV environmental perception and autonomous obstacle avoidance: A deep learning and depth camera combined solution. Computers and Electronics in Agriculture. 2020, 175, 105523.
[2] Dashuai Wang; Wujing Cao; Fan Zhang; Zhuolin Li; Sheng Xu; Xinyu Wu*. A review of deep learning in multiscale agricultural sensing. Remote Sensing, 2022, 14(3), 559.
[3] Dashuai Wang; Zhuolin Li; Xiaoqiang Du; Zenghong Ma*; Xiaoguang Liu*. Farmland obstacle detection from the perspective of UAVs based on Non-local Deformable DETR, Agriculture, 2022, 12(12)
[4] Dashuai Wang; Sheng Xu; Zhuolin Li; Wujing Cao*. Analysis of the influence of parameters of a spraying system designed for UAV application on the spraying quality based on Box–Behnken response surface method, Agriculture. 2022, 12(2), 131.
[5] Dashuai Wang; Junxiong Zhang*; Shunlu Zhang; Bin Xiong; Feng Qu; Xi Li; Wei Li; Ting Yuan. Spraying parameters and droplet deposition distribution analysis of CD-15 unmanned helicopter. International Agricultural Engineering Journal. 2017, 26(01): 41-50.
[6] Wujing Cao; Zhewen Zhang; Chunjie Chen; Yong He; Dashuai Wang*; Xinyu Wu. Biomechanical and physiological evaluation of a multi-joint exoskeleton with active-passive assistance for walking. Biosensors. 2021, 11(10), 393.
[7] Xinyu Ji; Dashuai Wang; Pengfei Li; Liangsheng Zheng; Jianquan Sun; Xinyu Wu*. SIAT-WEXv2: A wearable exoskeleton for reducing lumbar load during lifting tasks. Complexity. 2020.
[8] Wujing Cao; Chunjie Chen*; Dashuai Wang; XinyuWu; Lingxing Chen; Tiantian Xu; Jingshuai Liu. A lower limb exoskeleton with rigid and soft structure for loaded walking assistance. IEEE Robotics and Automation Letters. 2021, 7(1), 454-461.

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