I am currently a Ph.D. candidate in Biological Systems Engineering at the University of Wisconsin–Madison. My research centers on AI-enabled precision agriculture, including multisource remote sensing data fusion, development and application of advanced deep learning algorithms, and crop yield and quality assessment. A major focus of my recent work is knowledge-guided machine learning, which integrates existing process-based models with modern ML/DL approaches to enhance interpretability and generalization.

❗Open on the job market

Education

• Ph.D in Biological Systems Engineering, University of Wisconsin–Madison, 2022-2026 (expected)
• M.S. in Cartography and Geographic Information Systems , University of Chinese Academy of Sciences, 2018-2021
• B.S. in Surveying and Mapping Engineering , Central South University, 2014-2018

Work Experience

• Assistant Researcher, Nanhu Laboratory, 07/2021-07/2022
  Research on semantic segmentation algorithm for building extraction with high resolution images

News

• 03/2026 — The co-authored paper, “Robust hyperspectral reconstruction from satellite and airborne observations via a deep hierarchical fusion network across heterogeneous scenarios”, was published in Remote Sensing of Environment.
• 02/2026 — I passed the prelim exam today and officially became a PhD candidate.
• 01/2026 — Manuscript titled “AMGAN: A Multimodal Generative Adversarial Network for Near-Daily Alfalfa Multispectral Image Reconstruction” published in Computers and Electronics in Agriculture.
• 11/2025 — Manuscript titled “AMGAN: A Multimodal Generative Adversarial Network for Near-Daily Alfalfa Multispectral Image Reconstruction” submitted to Computers and Electronics in Agriculture; currently under moderate revision.