VLDB 2026 Research / reviewers in the wild / expert
Devin Wingfield
dblp:402/3309
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Knowledge representation and reasoning
knowledge graph |
0.9 | 1 | 2025 | 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 |
0.9 | 1 | 2025 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Using Machine Learning to Improve Research in the Agriculture IndustryabstractArtificial 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 |
AAAI | 1 |
| 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 |
ICWE | 2 |
| 2025 | Rule2Text: Natural Language Explanation of Logical Rules in Knowledge Graphs
Nasim Shirvani-Mahdavi, Devin Wingfield, Amin Ghasemi, Chengkai Li 0001 |
RuleML+RR | 2 |