T. Kwon Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
John Brown University
faculty
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Biography and Research Information
OverviewAI-generated summary
T. Kwon is a faculty member at John Brown University whose research interests span both theoretical and experimental particle physics, including high-energy particle collisions, quantum chromodynamics, and neutrino physics. Kwon also explores the intersection of astrophysics and cosmology, investigating dark matter, cosmic phenomena, and gravitation theories. While much of Kwon's work is rooted in physics, recent publications demonstrate interdisciplinary reach, with studies in areas such as extractive summarization, the properties of stainless steel under different welding conditions, and the application of deep learning to credit default prediction and imbalanced medical data. Kwon's research is currently focused on the fundamental nature of particles and forces, as well as data analysis techniques.
Metrics
- h-index: 24
- Publications: 326
- Citations: 4,477
Selected Publications
- OrderSum: Semantic Sentence Ordering for Extractive Summarization (2025) DOI
- Influences of Plasma Arc Welding Current and Speed on Microstructures and Tensile Properties of 316L Stainless Steel and its Acid Pickling Behaviors (2025) DOI
- Temporal Pattern-Based Credit Default Prediction: Time-Series Data Imbalance Mitigation and Deep Learning Application (2025) DOI
- Time Series Data Imbalance Resolution Techniques for Early Prediction (2025) DOI
- Improving Deep Learning Performance on Imbalanced Medical Data Using Natural Language Data Augmentation Technique (2025) DOI
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