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Curriculum Vitae

· 3 min read
Liangchao Deng
Liangchao Deng
PhD @ SHZU

Personal Information​

Education​

Ph.D. in Crop Science (2021 – Present)​

Shihezi University, China
Supervisors: Prof. Yali Zhang & Dr. Qingfeng Song
Research Focus: Crop phenotype, UAV remote sensing, Crop canopy photosynthesis modeling and AI-assisted phenotyping.

B.Sc. in Information and Computational Science (2016 – 2021)​

Shihezi University, China
Research Focus: Numerical analysis, computer modeling.

Research Interests​

  • AI-assisted crop canopy modeling (3D plant reconstruction, canopy light modeling)
  • Light interception and photosynthesis simulation (BRDF modeling, ray tracing)
  • UAV-based remote sensing and high-throughput phenotyping
  • Crop responses to environmental stress (density, light-use efficiency)
  • Machine/Deep learning in plant phenotyping and predictive modeling

Research Experience​

Crop Canopy Light Use Efficiency & Photosynthesis Simulation (2023 – Present)​

  • Developed a 3D crop canopy light distribution model using multi-view stereo.
  • Simulated photosynthetic efficiency under different environmental conditions.
  • Integrated UAV remote sensing data with process-based models for precision agriculture.

High-throughput Analysis Method for Crop Three-dimensional Morphology and Hyperspectral Reflectivity Phenotype (2021 – 2023)​

  • Designed a UAV-based method for high-throughput plant phenotyping.
  • Assisted Dr. Song in identifying the optimal plant type and cultivation configuration for weed suppression through the wheat model.
  • Established a BRDF-based optical characteristic model of leaf phenotype inversion.

Technical Skills​

  • Programming: MATLAB, Python, R
  • Remote Sensing & Image Processing: UAV Orthophoto/Cross-Circular data collection, Multispectral/Hyperspectral Imaging, LiDAR, Solar-Induced Fluorescence (SIF)
  • Modeling & Data Analysis: Crop canopy light and photosynthesis modeling, Leaf BRDF simulations
  • AI & Data Science: Machine learning applications in phenotyping, statistical modeling, Deployment & fine-tuning of LLMs (Llama)

Publications & Manuscripts​

  • Deng, L., Yu, L. X., Mao, L., Wang, Y., Guo, X., Wang, M., Zhang, Y., Song, Q., Zhu, X-G. (2025). Leaf Optical Properties Predicted with BRDF and Phenotypic Traits in Four Species: Development of Novel Analysis Tools. (Manuscript in preparation)
  • Deng, L., Zhang, Y., Song, Q., Zhu, X-G, et al. (2025). Point Cloud-Based 3D Cotton Canopy Model and Phenotypic Extraction. (Preliminary results available, manuscript in preparation)
  • Deng, L., Zhang, Y., Song, Q., Zhu, X-G, et al. (2025). Monitoring Cotton Growth Using UAV-Based Multi-Source Remote Sensing Data. (Data analysis in progress)

Language Skills​

  • Chinese: Native
  • English: Proficient (Academic writing, scientific communication)