Research initiatives, datasets, and open-source software.
USDA-funded research developing transformer-based AI systems for real-time methane emission detection and dietary classification in livestock using optical gas imaging.
Funding
USDA NIFA Award #2022-70001-37404
Publications
Gasformer · CVPR Workshop, 2024
GasTwinFormer · ICCV Workshop, 2025
IET Image Processing, 2025
Multi-task temporal dataset of 16 weed species with pixel-level segmentation masks, height measurements, and growth stage labels across an 11-week growth cycle.
WeedSense: Multi-Task Learning for Weed Segmentation, Height Estimation, and Growth Stage Classification · ICCV Workshop, 2025
4,885 methane plume images captured with a FLIR GF77 OGI camera across four dietary treatment conditions for studying rumen fermentation and enteric methane emission.
Optical gas imaging and deep learning for quantifying enteric methane emissions from rumen fermentation in vitro · IET Image Processing, 2025
A Python-based mask annotation tool for creating segmentation datasets, built for computer vision research workflows.
Python
An iOS app for tracking strength training workouts and cardio sessions, with Apple Watch integration for health metrics from Apple Health.
Swift · SwiftUI · HealthKit
coming soon
An open source e-commerce marketplace framework built for performance and extensibility.
Rust · Go
