CV
About
| Name | Minwoo Jung |
| Professional Title | Ph.D. Candidate |
| moonshot@snu.ac.kr | |
| Website | https://minwoo0611.github.io |
Professional Summary
Ph.D. candidate in Mechanical Engineering at Seoul National University, advised by Prof. Ayoung Kim in the Robust Perception and Mobile Robotics Lab. Research interests include LiDAR SLAM, sensor fusion, and place recognition for robust localization in heterogeneous and long-term environments.
Experience
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Sep 2021 - Present Seoul, Korea
Graduate Student Research Assistant
Seoul National University
LiDAR SLAM, multi-sensor fusion, place recognition, and autonomous navigation research in the RPM Robotics Lab.
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Feb 2025 - Mar 2025 Oxford, United Kingdom
Visiting Research Student
Oxford Robotics Institute
Collaborative research on LiDAR place recognition using vision foundation models and geometric localization in forest environments.
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Mar 2020 - Aug 2021 Daejeon, Korea
Graduate and Undergraduate Student Researcher
KAIST IRAP Lab
Research on 3D sensing, mapping, and localization before moving to SNU.
Education
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Sep 2023 - Present Seoul, Korea
Ph.D. Candidate
Seoul National University (SNU)
Mechanical Engineering
- Robust Perception and Mobile Robotics Lab, advised by Prof. Ayoung Kim
- Cumulative GPA: 3.71/4.3
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Sep 2021 - Aug 2023 Seoul, Korea
M.S.
Seoul National University (SNU)
Mechanical Engineering
- Robust Perception and Mobile Robotics Lab, advised by Prof. Ayoung Kim
- Thesis: Asynchronous Multiple LiDAR-Inertial Odometry using Point-wise Inter-LiDAR Uncertainty Propagation
- Cumulative GPA: 4.06/4.3
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Mar 2021 - Aug 2021 Daejeon, Korea
M.S. Student
Korea Advanced Institute of Science and Technology (KAIST)
Civil and Environmental Engineering
- Moved to Seoul National University
- Advised by Prof. Ayoung Kim
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Mar 2017 - Feb 2021 Daejeon, Korea
B.S.
Korea Advanced Institute of Science and Technology (KAIST)
Civil and Environmental Engineering
- Graduated cum laude
- Cumulative GPA: 3.76/4.3
Projects
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2024-2025 Collaborative Research with Oxford Robotics Institute DRS Group
- Implemented LiDAR place recognition using vision foundation models.
- Implemented forest localization using inter-tree geometric matching.
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2023-2024 Global Re-localization for LiDAR SLAM
- Developed global re-localization for scan-to-submap registration in GPS-denied environments.
- Integrated the module into an existing SLAM framework and validated it with real-world multi-session data.
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2022-2023 Multiple LiDAR-IMU SLAM
- Developed a multiple LiDAR-IMU SLAM framework for trajectory estimation in unstructured environments.
- Integrated the module into a hardware platform and validated it in real-world forest environments.
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2021-2025 Autonomous Navigation in Construction Sites
- Implemented an autonomous navigation module for a mobile robot equipped with LiDAR, IMU, and GPS.
- Demonstrated the system across multiple construction sites.
Teaching Assistant
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Sep 2025 [M3228.000300] Sensor-Based Spatial Intelligence
Head Teaching Assistant, Seoul National University
Tutorials
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Apr 2026 Multidisciplinary Creative Class
Tutorial: ICP and LiDAR Localization
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Mar 2026 Machine Intelligence Industry-Academia Open Lecture and Consulting
Tutorial: Understanding 3D LiDAR Point Clouds and Their Practical Usage
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Nov 2025 LiDAR Point Cloud Matching
[M3228.000300] Sensor-Based Spatial Intelligence, Seoul National University
Awards
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2025 Paper Award (2nd author)
Korea Robotics Society (KROS)
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2023 Best Overall Presentation Award (2nd author)
IROS Workshop
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2023 Best M.S. Thesis Award
Seoul National University
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2023 Ranked 4th in the LiDAR Single Session category
Hilti SLAM Challenge
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2021 Graduation Citation
Korea Concrete Institute
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2021 Development Foundation Chairman Award
KAIST
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2021 Cum Laude
Civil and Environmental Engineering, KAIST
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2019 Dean's List
Civil and Environmental Engineering, KAIST
Professional Service
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Reviewer
The International Journal of Robotics Research (IJRR)
The International Conference on Control, Automation and Systems (ICCAS)
The International Journal of Digital Earth (IJDE)
IEEE Transactions on Robotics (T-RO)
IEEE Robotics and Automation Letters (RA-L)
IEEE International Conference on Robotics and Automation (ICRA)
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Conference on Neural Information Processing Systems (NeurIPS)
Conference on Robot Learning (CoRL)
IEEE International Conference on Ubiquitous Robots (UR)
IEEE Transactions on Automation Science and Engineering (T-ASE)
Skills
Programming: C/C++, Python, MATLAB, PyTorch
Robotics: LiDAR SLAM, Sensor Fusion, Place Recognition, Autonomous Navigation
Tools: ROS, GTSAM, SymForce, Docker, Linux, LaTeX