




Cheng Li
Associate Professor
Deputy Head for Academic Affairs of Mechanical Engineering Program
Department of Mechanical Engineering
Guangdong Technion – Israel Institute of Technology
Office: R528
Phone: (0754) 8807-7083
Email: cheng.li@gtiit.edu.cn
China Agricultural University
Current Research:
Investigation on the injection-induced-pulsality property flow measurement during digital substraction Angiography
Wuhan University of Technology
Current Research:
Characterization of transient spray using digital inline holography
Central South University
Current Research:
UAV-based aerosol and wind measurement using multi-resolution holography and full-scale sonic anemomete
Nanjing Institute of Technology
Current Research:
Study on lifetime distributionand characteristics of free interface bubbles in different environments
Project: Research into New Technologies for Optimising Wind Turbine Control, Layout and Interface Protection through Drone-Based Field Testing.
Project: Research into New Technologies for Optimising Wind Turbine Control, Layout and Interface Protection through Drone-Based Field Testing.
Project: Research into New Technologies for Optimising Wind Turbine Control, Layout and Interface Protection through Drone-Based Field Testing.
Project: Experimental Study on the Impact of Oil Emulsions on Bubble Bursting Dynamics.
Project: Experimental study on the influence of particulate pollutants on the formation mechanism and particle size distribution of sea salt aerosols.
Project: CycleGAN for Bubble Image Processing.
Project:Experimental Study on the Impact of Oil Emulsions on Bubble Bursting Dynamics.
Project: Experimental Study on the Influence of Particulate Pollutants on the Formation Mechanism and Size Distribution of Sea Salt Aerosols.
Project: Whole-lung 4D-CT reconstruction.
Project: Closed-Loop Spray Control for Target Droplet Sizes.
Project: Closed-Loop Spray Control for Target Droplet Sizes.
Project: Experimental Study on the Impact of Oil Emulsions on Bubble Bursting Dynamics.
Project: A Wind Field Reconstruction Method Based on Unmanned Aerial Vehicle (UAV) Wind Measurement and Physics - Informed Neural Network (PINN).
Project: Study on the Impact of Installing Deflectors on Anemometer Data Acquisition for Drones.
Shantou University
UAV-Based Wind Field Reconstruction for Wind Turbine Optimization
Address: 241 Daxue Road, Jinping District, Shantou, Guangdong Province, China
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