Me | Md. Mahbubur Rahman

CLFM: climate-informed representation learning

Wed, 16 Sep 2026 00:00:00 +0000

CLFM explores label-efficient plant trait prediction by bringing greenhouse images and climate measurements into a shared learning framework. Current development investigates image-environment contrastive learning and adaptation of vision backbones.

TAHAF: RGB-D plant phenotyping

Wed, 16 Sep 2026 00:00:00 +0000

TAHAF uses trait-adaptive hierarchical attention fusion to combine RGB and depth information for lettuce phenotyping in hydroponic systems.

Temporal amodal leaf completion

Wed, 16 Sep 2026 00:00:00 +0000

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 reliability estimation. Work includes correspondence auditing, independent evaluation, and controlled ablations.

Attention-Based Task-Adaptive Fusion for Real-Time RGB-D Lettuce Morphological Analysis

Wed, 01 Jul 2026 00:00:00 +0000

Presented at the ASABE Annual International Meeting in Indianapolis in July 2026.

TAHAF: Trait Adaptive Hierarchical Attention Fusion of RGB-D data for automated lettuce phenotyping in hydroponic systems

Mon, 01 Jun 2026 00:00:00 +0000

AirNet: Predictive machine learning model for air quality forecasting

Tue, 01 Oct 2024 00:00:00 +0000

Hybrid feature fusion and CNN for melanoma skin cancer detection

Sun, 01 Oct 2023 00:00:00 +0000

BreastMultiNet: Multi-scale feature fusion for breast cancer detection

Thu, 01 Dec 2022 00:00:00 +0000