CLFM: climate-informed representation learning
CLFM explores label-efficient plant trait prediction by bringing greenhouse images and climate measurements into a shared learning framework. Current development investigates …
Academic profile
I am a Computer Science PhD student and Graduate Research Assistant at the University of Wyoming, working with Dr. Yaqoob Majeed. My research focuses on computer vision, RGB-D perception, and AI for plant phenotyping. I also serve as Research Director at Peer Research Lab in Bangladesh.
Education
PhD in Computer Science, in progress
2025-01-01
University of Wyoming
MSc in Computer Science and Engineering
2016-01-01
2020-12-31
Mawlana Bhashani Science and Technology University
BSc in Computer Science and Engineering
2012-01-01
2016-12-31
Mawlana Bhashani Science and Technology University
Research interests
Computer vision
RGB-D and 3D perception
Plant phenotyping
Temporal amodal completion
Multimodal learning
Research
I develop computer vision methods that use RGB-D observations to study plant structure and growth. My current work brings together trait estimation, temporal evidence for recovering occluded leaves, and climate-informed representation learning.
Research projects
TAHAF: RGB-D plant phenotyping
TAHAF uses trait-adaptive hierarchical attention fusion to combine RGB and depth information for lettuce phenotyping in hydroponic systems.
Temporal amodal leaf completion
This project investigates recovery of occluded plant leaves using RGB-D observations and an identity-matched history across days. The methodology separates mask reconstruction from …
Selected publications
Trait-Adaptive Hierarchical Attention Fusion of RGB-D data for automated lettuce phenotyping in hydroponic systems.
Computers and Electronics in Agriculture, 252, 112101,2026.
Teaching and lecture materials
A growing library of written tutorials, lecture materials, and practical resources for computer vision and deep learning.
Research notes and reflections