Jackson Cothren Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Federal Grant PI

Professor

University of Arkansas at Fayetteville

faculty

13 h-index 70 pubs 784 cited

Research Areas

Advanced Neural Network Applications Remote Sensing in Agriculture Computer Graphics and Visualization Techniques AI in cancer detection Geospatial Data Analysis Big Data and Business Intelligence Environmental Data Science Photovoltaic System Optimization Techniques

Links

ORCID Research Group

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OverviewAI-generated summary

Jackson Cothren's research focuses on the application of advanced artificial intelligence and data science techniques to complex real-world problems. His work investigates areas such as aerial image segmentation, direct aerial visual geolocalization, and semantic scene understanding, often employing deep neural networks and transformer architectures. He has published on topics including multi-resolution transformers for image segmentation and fairness-aware domain adaptation for scene understanding.

Cothren has also explored the intersection of remote sensing, data engineering, and interdisciplinary research. His publications include work on using UAV and ground-based geophysical imagery to evaluate soil heterogeneity's influence on soybean development and crop yield. He has also examined the challenges and limitations of geospatial data in the context of COVID-19 and contributed to discussions on designing infrastructures for transdisciplinary research.

As a principal investigator and co-principal investigator on multiple federal grants, Cothren has secured substantial funding for his research endeavors. Notably, he has served as PI on the "Shared Arkansas Research Plan for Community Cyber Infrastructure (SHARP CCI)" grant from NSF, totaling $199,592. He has also been a Co-PI on large-scale NSF projects such as "E-RISE Rll: Arkansas Smart Transportation Research Incubator through Data Engineering and Science" ($7,000,000) and "SCC-CIVIC-PG Track A: Dynamic Modeling of Alaskan Riverine Ecosystem Stability to Improve Yup'ik Cultural Resiliency" ($75,000). His scholarly output includes 70 publications, with an h-index of 13 and 784 citations.

Metrics

h-index: 13
Publications: 70
Citations: 784

Selected Publications

Land8Fire: A Complete Study on Wildfire Segmentation Through Comprehensive Review, Human-Annotated Multispectral Dataset, and Extensive Benchmarking (2025) DOI
FALCON: Fairness Learning via Contrastive Attention Approach to Continual Semantic Scene Understanding (2025) DOI
HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation (2025) DOI
RSSep: Sequence-to-Sequence Model for Simultaneous Referring Remote Sensing Segmentation and Detection (2025) DOI
AerialFormer: Multi-Resolution Transformer for Aerial Image Segmentation (2024) DOI
Improving InSAR Accuracy for Slow Deformation and Change Detection with Lidar and GPS (2024) DOI
FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding (2023) DOI
Absolute Accuracy Assessment of Maxar's Worldwide 3D Textured Mesh (2022) DOI
Direct Aerial Visual Geolocalization Using Deep Neural Networks (2021) DOI
Challenges and Limitations of Geospatial Data and Analyses in the Context of COVID-19 (2021) DOI
Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery (2021) DOI