D
Donghoon Kim Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor
faculty
13 h-index
58 pubs
571 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Donghoon Kim is an Assistant Professor at Arkansas State University. His research focuses on machine learning applications, particularly in areas of cybersecurity and healthcare. Kim has investigated website fingerprinting attacks on Tor networks, utilizing advanced features for real-time analysis. His work also extends to developing robust authentication methods for copyright images through deep hashing models with self-supervision. In the health domain, Kim has contributed to enhancing machine learning models for automated disease detection, such as Chagas disease from ECG data, and for predicting antimicrobial resistance in bacteria through data augmentation techniques. He has published research on synthetic dataset generation for multimodal evaluation and has collaborated with researchers at Arkansas State University, including Andrew Booth, Yeojin Jung, and Namkyeong Kim. Kim's scholarship metrics include an h-index of 2 across 9 publications with 10 citations.
Metrics
- h-index: 13
- Publications: 58
- Citations: 571
Selected Publications
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ACT: Automated CPS Testing for Open-Source Robotic Platforms (2026)
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Enhancing deep hashing with graph filters and autoencoder-based embeddings (2026)
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Empirical Analysis of Security Vulnerabilities in Open Source Software Using Static Analysis Tools (2025)
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Improving Antimicrobial Resistance (AMR) Phenotype Prediction for Unseen Bacteria through Data Augmentation and Machine Learning (2025)
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Enhanced Android Malware Detection: Fine-Grained Opcode analysis, Data Augmentation and Zero-Day Evaluation (2025)
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An Empirical Study: Feasibility of Website Fingerprinting Attacks in Real-Time Environments on V3 Onion Services (2025)
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Website Fingerprinting Attacks with Advanced Features on Tor Networks (2024)
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Enhancing Deep Hashing With GCN-Based Models for Efficient Similarity Search (2024)
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Poster: Advanced Features for Real-Time Website Fingerprinting Attacks on Tor (2024)
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Analyzing Various Machine Learning Approaches for Detecting Android Malware (2024)
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Employing Machine Learning for the Prediction of Antimicrobial Resistance (AMR) Phenotypes (2024)
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Devised Deephashing Models Through Self-Supervised Learning for Image Retrieval (2023)
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Robust IoT Malware Detection and Classification Using Opcode Category Features on Machine Learning (2023)
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Evolved IoT Malware Detection using Opcode Category Sequence through Machine Learning (2022)
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Histogram Entropy Representation and Prototype Based Machine Learning Approach for Malware Family Classification (2021)
Collaboration Network
Top Collaborators
Doosung Hwang
Dankook University (KR)
4 shared publications
- Robust Authentication Analysis of Copyright Images through Deep Hashing Models with Self-supervision
- Enhancing Deep Hashing With GCN-Based Models for Efficient Similarity Search
- Website Fingerprinting Attacks with Advanced Features on Tor Networks
- Poster: Advanced Features for Real-Time Website Fingerprinting Attacks on Tor
S. Gene Kim
Dankook University (KR)
2 shared publications
- Robust Authentication Analysis of Copyright Images through Deep Hashing Models with Self-supervision
- Enhancing Deep Hashing With GCN-Based Models for Efficient Similarity Search
Wongyum Kim
Korea Development Institute (KR)
2 shared publications
- Robust Authentication Analysis of Copyright Images through Deep Hashing Models with Self-supervision
- Enhancing Deep Hashing With GCN-Based Models for Efficient Similarity Search
Andrew Booth
Arkansas State University
2 shared publications
In database
- Website Fingerprinting Attacks with Advanced Features on Tor Networks
- Poster: Advanced Features for Real-Time Website Fingerprinting Attacks on Tor
Euijin Choo
University of Alberta (CA)
2 shared publications
- Website Fingerprinting Attacks with Advanced Features on Tor Networks
- Poster: Advanced Features for Real-Time Website Fingerprinting Attacks on Tor
Jaeyoung Yang
1 shared publication
- Robust Authentication Analysis of Copyright Images through Deep Hashing Models with Self-supervision
S. H. Lee
1 shared publication
- Robust Authentication Analysis of Copyright Images through Deep Hashing Models with Self-supervision
Seonghyun Min
Korea Development Institute (KR)
1 shared publication
- Enhancing Deep Hashing With GCN-Based Models for Efficient Similarity Search
O. Akinyemi
Arkansas State University (US)
1 shared publication
- Website Fingerprinting Attacks with Advanced Features on Tor Networks
Yeojin Jung
Arkansas State University
1 shared publication
In database
- Improving Antimicrobial Resistance (AMR) Phenotype Prediction for Unseen Bacteria through Data Augmentation and Machine Learning
Namkyeong Kim
Arkansas State University
1 shared publication
In database
- Improving Antimicrobial Resistance (AMR) Phenotype Prediction for Unseen Bacteria through Data Augmentation and Machine Learning
Hyeonseung Im
1 shared publication
- ResNet-BiGRU with Conditioned Query-Based Cross-Attention and Weighted Loss for Automated Chagas Disease Detection from 12-Lead ECG
Na‐Hyun Lee
1 shared publication
- ResNet-BiGRU with Conditioned Query-Based Cross-Attention and Weighted Loss for Automated Chagas Disease Detection from 12-Lead ECG
Tae‐Young Kang
1 shared publication
- ResNet-BiGRU with Conditioned Query-Based Cross-Attention and Weighted Loss for Automated Chagas Disease Detection from 12-Lead ECG
Taehwan Kim
1 shared publication
- ResNet-BiGRU with Conditioned Query-Based Cross-Attention and Weighted Loss for Automated Chagas Disease Detection from 12-Lead ECG
Similar Researchers
Based on overlapping research topics
Minh-Hao Van
University of Arkansas at Fayetteville
Network Security and Intrusion Detection
Machine Learning Applications
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M. Emre Celebi
University of Central Arkansas
Machine Learning Applications
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Indira Kalyan Dutta
Arkansas Tech University
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Ting Liu
University of Arkansas at Fayetteville
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Radiomics and Machine Learning in Medical Imaging
Edidiong Elijah Akpan
Arkansas Tech University
Network Security and Intrusion Detection
Machine Learning Applications
Advanced Neural Network Applications
Dakota S. Dale
University of Arkansas at Fayetteville
Network Security and Intrusion Detection
Machine Learning Applications
Advanced Neural Network Applications