J
Jin‐Bum Park Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
faculty
12 h-index
40 pubs
1,917 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Jin-Bum Park's research interests include advanced neural network applications and semiconductor devices. His work has explored novel image segmentation models for maritime object detection, developing techniques for monocular depth estimation using single-pixel depth guidance. Park has also investigated methods to mitigate memory safety violations in computing systems, including practical object ID inspection and breaking memory tagging extensions through speculative execution. His research extends to ensuring access control integrity against data-only attacks on Linux systems. Park has a publication record of 41 papers, with over 1,912 citations and an h-index of 12. He has collaborated with several colleagues at Hendrix College, including Hanguen Kim, Dongje Lee, Jaeseong Koh, and Yejin Kang, co-authoring multiple publications with each.
Metrics
- h-index: 12
- Publications: 40
- Citations: 1,917
Selected Publications
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MOANA: Multi-radar dataset for maritime odometry and autonomous navigation application (2025)
Collaboration Network
Top Collaborators
Hanguen Kim
4 shared publications
In database
- MOANA: Multi-radar dataset for maritime odometry and autonomous navigation application
- Introducing VaDA: Novel Image Segmentation Model for Maritime Object Segmentation Using New Dataset
- MOANA: Multi-Radar Dataset for Maritime Odometry and Autonomous Navigation Application
- Multi-frame application for RADAR Image based Maritime Object Detection
Seung‐Won Jung
Korea University (KR)
2 shared publications
- Monocular depth estimation network with single-pixel depth guidance
- A Comparative Study on Implicit Neural Representation-based Arbitrary-Scale Image Super-Resolution
Juhee Kim
Seoul National University (KR)
2 shared publications
- Tiktag: Breaking ARM's Memory Tagging Extension with Speculative Execution
- TikTag: Breaking ARM's Memory Tagging Extension with Speculative Execution
Sihyeon Roh
Seoul National University (KR)
2 shared publications
- Tiktag: Breaking ARM's Memory Tagging Extension with Speculative Execution
- TikTag: Breaking ARM's Memory Tagging Extension with Speculative Execution
Jaeyoung Chung
Seoul National University (KR)
2 shared publications
- Tiktag: Breaking ARM's Memory Tagging Extension with Speculative Execution
- TikTag: Breaking ARM's Memory Tagging Extension with Speculative Execution
Youngjoo Lee
Seoul National University (KR)
2 shared publications
- Tiktag: Breaking ARM's Memory Tagging Extension with Speculative Execution
- TikTag: Breaking ARM's Memory Tagging Extension with Speculative Execution
Tae Soo Kim
Samsung (United States) (US)
2 shared publications
- Tiktag: Breaking ARM's Memory Tagging Extension with Speculative Execution
- TikTag: Breaking ARM's Memory Tagging Extension with Speculative Execution
Byoungyoung Lee
Seoul National University (KR)
2 shared publications
- Tiktag: Breaking ARM's Memory Tagging Extension with Speculative Execution
- TikTag: Breaking ARM's Memory Tagging Extension with Speculative Execution
Yong-Jin Kim
2 shared publications
- Introducing VaDA: Novel Image Segmentation Model for Maritime Object Segmentation Using New Dataset
- Multi-frame application for RADAR Image based Maritime Object Detection
Sanha Kang
2 shared publications
- Introducing VaDA: Novel Image Segmentation Model for Maritime Object Segmentation Using New Dataset
- Multi-frame application for RADAR Image based Maritime Object Detection
Hyesu Jang
Institute for Advanced Engineering (KR)
2 shared publications
- MOANA: Multi-radar dataset for maritime odometry and autonomous navigation application
- MOANA: Multi-Radar Dataset for Maritime Odometry and Autonomous Navigation Application
Wooseong Yang
Northern Netherlands Provinces alliance (NL)
2 shared publications
- MOANA: Multi-radar dataset for maritime odometry and autonomous navigation application
- MOANA: Multi-Radar Dataset for Maritime Odometry and Autonomous Navigation Application
Dongje Lee
Hendrix College
2 shared publications
In database
- MOANA: Multi-radar dataset for maritime odometry and autonomous navigation application
- MOANA: Multi-Radar Dataset for Maritime Odometry and Autonomous Navigation Application
Jaeseong Koh
Hendrix College
2 shared publications
In database
- MOANA: Multi-radar dataset for maritime odometry and autonomous navigation application
- MOANA: Multi-Radar Dataset for Maritime Odometry and Autonomous Navigation Application
Yejin Kang
Hendrix College
2 shared publications
In database
- MOANA: Multi-radar dataset for maritime odometry and autonomous navigation application
- MOANA: Multi-Radar Dataset for Maritime Odometry and Autonomous Navigation Application
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