Namkyeong Kim Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
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Biography and Research Information
OverviewAI-generated summary
Namkyeong Kim's research focuses on the application of machine learning and data augmentation techniques to improve the prediction of antimicrobial resistance (AMR) phenotypes in bacteria. Their work aims to enhance the accuracy of these predictions, particularly for bacterial strains not previously encountered in training datasets. This research has implications for understanding and combating the growing challenge of antimicrobial resistance in healthcare settings.
Kim has co-authored publications with Yeojin Jung and Donghoon Kim, both from Arkansas State University, indicating collaborative efforts within the institution. Their recent publication in 2025 highlights their ongoing activity and contribution to the field of microbial research and computational biology.
Metrics
- Publications: 2
Selected Publications
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Improving Antimicrobial Resistance (AMR) Phenotype Prediction for Unseen Bacteria through Data Augmentation and Machine Learning (2025)
Collaboration Network
Top Collaborators
- Improving Antimicrobial Resistance (AMR) Phenotype Prediction for Unseen Bacteria through Data Augmentation and Machine Learning
- Improving Antimicrobial Resistance (AMR) Phenotype Prediction for Unseen Bacteria through Data Augmentation and Machine Learning
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