Devin Wingfield

dblp:402/3309 · DBLP profile ↗
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3ranked-venue papers
1as first author
3since 2021 · last 2025
0009-0001-1952-9946ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 1 first-author · 2 since 2021Software engineering, systems software and programming languages · 1 · 1 since 2021Databases, data management, data science and information retrieval · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021Theory of computation · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Knowledge representation and reasoning · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Knowledge representation and reasoning
knowledge graph
0.912025
Using Machine Learning to Improve Research in the Agriculture Industry · AAAI 2025
Knowledge, reasoning and agents › Knowledge representation and reasoning › knowledge graph
knowledge graph querying
0.912025
Using Machine Learning to Improve Research in the Agriculture Industry · AAAI 2025

Methods — techniques the papers use, named apart from their topics

machine learning · 1.7knowledge graph · 1.7
YearPublicationVenuePosition
2025 Using Machine Learning to Improve Research in the Agriculture Industry
abstract
Artificial intelligence (AI) has improved significantly in recent decades, and, along with it, its applications to real-world scenarios. AI has been used within a wide variety of fields like health care and e-commerce, however, AI has yet to integrate with the agriculture industry. With the help of machine learning, AI can begin to integrate with the industry via a research assistant. The model will assist researchers conduct experiments by giving treatment methods that are best suited for the experiment rather than relying on the expertise of the researcher. This will help research within the industry to become more efficient and less error prone. To accomplish this, the model will use a Knowledge Graph created by the IDIR lab that converts the large CSV files into a graph that can be queried and then summarized by the model.
Devin Wingfield
AAAI1
2025 A Knowledge Graph Informing Soil Carbon Modeling
Nasim Shirvani-Mahdavi, Devin Wingfield, Juan Guajardo Gutierrez, Mai Tran, Zhengyuan Zhu, Abhishek Divakar Goudar, Chengkai Li 0001, Virginia L. Jin, Timothy Propst, Dan Roberts, Catherine Stewart, Jianzhong Su, Jennifer Woodward-Greene
ICWE2
2025 Rule2Text: Natural Language Explanation of Logical Rules in Knowledge Graphs
Nasim Shirvani-Mahdavi, Devin Wingfield, Amin Ghasemi, Chengkai Li 0001
RuleML+RR2