Ethan J Coffman
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Researcher
Graduate Student Researcher
Research Areas
Biography and Research Information
OverviewAI-generated summary
Ethan J Coffman's research focuses on the application of machine learning and computer vision techniques to address challenges in animal health and distributed energy systems. He has contributed to the development of automated systems for cattle health monitoring, including a benchmark for RGB-T cattle facial landmark detection and a system for estimating cattle fever. Coffman has also investigated the security of distributed energy resources, exploring semantic web integration for decentralized data sovereignty in DNP3 master stations.
His work involves collaborations with researchers at the University of Arkansas at Fayetteville, including Trong Thang Pham, Ngan Le, E. B. Kegley, and Jeremy G Powell, with whom he has co-authored multiple publications. Coffman's recent activities indicate a continued engagement in research, with publications extending into 2026.
Metrics
- Publications: 1
Selected Publications
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Securing Distributed Energy Resources: A DNP3 Master Station with Semantic Web Integration for Decentralized DER Data Sovereignty (2026)Journal of the Arkansas Academy of Science OpenAlex
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CattleFever: An automated cattle fever estimation system (2025)
Collaboration Network
Top Collaborators
- CattleFever: An automated cattle fever estimation system
- CattleFever: An automated cattle fever estimation system
- CattleFever: An automated cattle fever estimation system
- CattleFever: An automated cattle fever estimation system
- CattleFever: An automated cattle fever estimation system
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