About Me
Hello! I am Yimin Zhu, a Ph.D. student in the Department of Geomatics Engineering at the University of Calgary. My research focuses on hyperspectral image processing , land use and land cover mapping, and generative models for inverse problems , including spectral unmixing and wildfire prediction.
Education
University of Calgary
Ph.D. in Geomatics Engineering
Schulich School of Engineering
2025 - 2029
China University of Geosciences (Beijing)
M.Sc. in Surveying and Mapping
School of Land Science and Technology
2021 - 2024
Suqian University
B.Eng. in Geomatics Engineering
2017 - 2021
Featured Research
Hyperspectral Image Understanding
Developing spatial-spectral representation learning, Mamba-based architectures, clustering-aware token modeling, and spectral unmixing methods for hyperspectral imagery.
Generative Models for Remote Sensing
Exploring diffusion and generative models for hyperspectral image synthesis, inverse problems, small-sample learning, and physically meaningful remote sensing applications.
Wildfire Risk Modeling
Studying data-driven wildfire prediction, uncertainty, land-cover-aware probability modeling, and interpretable spatiotemporal risk analysis.
Selected Publications
Selected recent work. See Google Scholar for the complete list.
Google ScholarHiking & Outdoors
Outside of research, I enjoy hiking and exploring the Canadian Rockies. Here are some moments from my outdoor adventures.
