Meeting roles in:
Diurnal Dynamics of CO₂ and N₂O Fluxes and their Interrelationship in Conventional and Organic Cotton Systems
Modeling Soil N₂O Emissions from Agricultural Landscapes using Soil Microclimate, Meteorological, and Management Drivers
Role of Alternate Wetting and Drying and Ratooning on Methane Emissions and Carbon Balance in Rice Cropping Systems of Texas
Investigating the Potential of AI for Modeling Texas’s Carbon Budget Using Multi-Source Satellite Earth Observations And Limited In-Situ Ground Datasets
Greenhouse Gas Monitoring in Texas Croplands to Support Climate-Smart Markets and Policy Development
Dr. Sk Musfiq Us Salehin is a postdoctoral research associate at Texas A&M University, specializing in agroecology and agronomic modeling. With a Ph.D. in Agronomy, his research focuses on understanding and simulating the carbon, nitrogen, and energy dynamics in cropping systems. He uses eddy covariance systems, meteorological sensors, chamber-based soil gas emissions, remote sensing, and state-of-the-art modeling tools to study agroecosystems.
As a Postdoctoral Researcher at Texas A&M University, Dr. Salehin has been working on the measurement and modeling of agricultural greenhouse gas emissions and soil carbon. He is leading a team of scientists collaborating across different institutes to establish a network of eddy covariance flux towers on large-scale production fields across Texas. He uses different process-based models such as DayCent, DSSAT, EPIC, and DNDC to simulate agricultural carbon and nitrogen dynamics across scales. His expertise also includes satellite and drone-based remote sensing in agroclimatology. He has published extensively, mentored students, and made significant contributions to understanding climate-smart agricultural practices.