Donghoon Kim Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor
Arkansas State University
faculty
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Biography and Research Information
OverviewAI-generated summary
Donghoon Kim's research investigates the application of advanced machine learning models to diverse problems, including cybersecurity and medical diagnostics. His work has explored robust authentication methods for copyright images using deep hashing models with self-supervision and analyzed website fingerprinting attacks on Tor networks with advanced features. In the health domain, Kim has contributed to research on automated Chagas disease detection from ECG data using ResNet-BiGRU models and enhancing antimicrobial resistance phenotype prediction for bacteria through data augmentation and machine learning.
Metrics
- h-index: 2
- Publications: 8
- Citations: 10
Selected Publications
- Improving Antimicrobial Resistance (AMR) Phenotype Prediction for Unseen Bacteria through Data Augmentation and Machine Learning (2025) DOI
- Website Fingerprinting Attacks with Advanced Features on Tor Networks (2024) DOI
- Enhancing Deep Hashing With GCN-Based Models for Efficient Similarity Search (2024) DOI
- Poster: Advanced Features for Real-Time Website Fingerprinting Attacks on Tor (2024) DOI
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