Meredith Adkins Source Confirmed

OverviewAI-generated summary

Meredith Adkins is an Assistant Research Professor at the University of Arkansas at Fayetteville. Her research focuses on the application of advanced machine learning techniques, particularly transformer models, to complex data analysis challenges.

Adkins' recent work includes the development of AerialFormer, a multi-resolution transformer model for aerial image segmentation, and RSSep, a sequence-to-sequence model designed for simultaneous referring remote sensing segmentation and detection. These projects highlight her expertise in computer vision and remote sensing data processing.

Her research has been significantly supported by federal grants. Adkins serves as Principal Investigator (PI) on two NSF Convergence Accelerator awards totaling $5,742,469. The larger grant, for $4,998,818, supports the "Cultivate IQ - Empowering Regional Food Systems" project. The second grant, totaling $743,651, is for "Data-driven Agriculture to Bridge Small Farms to Regional Food Supply Chains." These grants underscore her work in leveraging data science and artificial intelligence to address challenges in agriculture and food systems. Adkins collaborates with several researchers at the University of Arkansas at Fayetteville, including Chase Rainwater and Jackson Cothren, with whom she has co-authored multiple publications.

Metrics

• h-index: 1
• Publications: 3
• Citations: 59