News
✦ Mar 2026 Started Ph.D. in Dept. of Computer Science and Engineering at Seoul National University
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Oct 2023 1 Project funded by Korean Defense Acquisition Program Administration has been started
[AIMD]✦
Dec 2022 1 Project funded by Korean Defense Acquisition Program Administration has been started
[MumT]✦
Jan 2022 1 Project funded by Korean Defense Acquisition Program Administration has been started
[Micro]
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Nov 2021 1 paper has been accepted with minor revision at CHI '22
[MPnC]✦
Oct 2021 1 paper has been accepted at NeurIPS '21 Datasets and Benchmarks Track
[KLUE]✦ Sep 2021 Presented 'Point-and-Click Simulation Model' online seminar at EIRIC
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May 2021 1 paper has been opened at arXiv
[KLUE]✦
May 2021 1 paper has received an Honorable Mention Award at CHI '21
[PnC] (Top 5%)✦ Mar 2021 'Guitar Learning System Using Augmented Reality' patent has been registered
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Dec 2020 1 paper has been accepted at CHI '21
[PnC]✦ Sep 2020 Started to work at ETRI, @Daejeon
✦ Aug 2020 Received a master's degree from KAIST, @Daejeon
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Dec 2019 1 paper has been accepted at CHI '20
[Virtual]✦ Jul 2019 Participated Summer School on Computational Interaction, @NewYork
✦ Aug 2018 Received a bachelor's degree from POSTECH, @Pohang
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About Me
Seungwon Do is a Ph.D. student in the Dept. of Computer Science and Engineering at Seoul National University,
advised by Prof. Jinwook Seo, and a research engineer at the Defense & Safety Convergence Research Division,
ETRI, Korea.
His Ph.D. research focuses on Human-Computer Interaction (HCI), particularly in computational interaction to improve user experience.
At ETRI, he develops AI-driven battlefield situation awareness systems for real-time decision-making and tactical analysis in defense applications,
with a focus on reinforcement learning, multi-agent systems, and deep learning models.
He earned his Bachelor's degree in Electrical Engineering from Pohang University of Science and Technology (POSTECH) in 2018,
where he built a foundation in mathematics, physics, telecommunications, and computer engineering.
He then earned a Master's degree at the Graduate School of Culture Technology, Korea Advanced Institute of Science and Technology (KAIST) in 2020,
advised by Prof. Byungjoo Lee, focusing on computational modeling of human cognition and behavior to optimize interactions in Mixed Reality (MR) environments and AI-based simulations.
Since joining ETRI in 2020, he has been engaged in defense projects funded by the Korean Defense Acquisition Program Administration,
contributing to reinforcement learning-based AI models, autonomous decision-making frameworks, and AI-driven battlefield analysis.
His research aims to develop reliable and interpretable AI solutions that enhance situational awareness in complex battlefield environments.
Research topics: AI-based situation awareness, computational user modeling, and interactions in mixed reality environments
Education
Seoul National University
| 2026 - present
Ph.D. in Dept. of Computer Science and Engineering
Advised by Prof. Jinwook Seo
Korea Advanced Institute of Science and Technology (KAIST)
| 2018 - 2020
M.S. in Graduate School of Culture Technology
Advised by Prof. Byungjoo Lee
Pohang University of Science and Technology (POSTECH)
| 2013 - 2018
B.S. in Dept. of Electrical Engineering
Work Experience
Electronics and Telecommunications Research Institute (ETRI)
| 2020 - present
Research Engineer at the Intelligent Convergence Research Laboratory
Korea Advanced Institute of Science and Technology (KAIST)
| 2018
Research Intern at the Ubiquitous Virtual Reality Lab
LG CNS
| 2017
Intern at the digital marketing team
Publications
StairWave Transformer: For Fast Utilization of Recognition Function in Various Unmanned Vehicles
Donggyu Choi, Chang-eun Lee, Jaeuk Baek,
Seungwon Do, Sungwoo Jun, Kwang-yong Kim, and Young-guk Ha
Machines 2023, 11(12), 1068
Speeding up Inference with User Simulators through Policy Modulation
Heeseung Moon,
Seungwon Do, Wonjae Kim, Minsuk Chang, Jiwon Seo, and Byungjoo Lee
2022 CHI Conference on Human Factors in Computing Systems (CHI '22)
KLUE: Korean Language Understanding Evaluation
Sungjoon Park, Jihyung Moon, Sungdong Kim, Won Ik Cho, Jiyoon Han, Jangwon Park, Chisung Song, Junseong Kim,
Yongsook Song, Taehwan Oh, Joohong Lee, Juhyun Oh, Sungwon Lyu, Younghoon Jeong, Inkwon Lee, Sangwoo Seo,
Dongjun Lee, Hyunwoo Kim, Myeonghwa Lee, Seongbo Jang,
Seungwon Do, Sunkyoung Kim, Kyungtae Lim,
Jongwon Lee, Kyumin Park, Jamin Shin, Seonghyun Kim, Lucy Park, Alice Oh, Jungwoo Ha, and Kyunghyun Cho
Conference on Neural Information Processing Systems 2021 Datasets and Benchmarks Track (NeurIPS '21)
A Simulation Model of Intermittently Controlled Point-and-Click Behaviour
Seungwon Do, Minsuk Chang, and Byungjoo Lee
2021 CHI Conference on Human Factors in Computing Systems (CHI '21)
Paper |
Talk |
Code |
Honorable Mention Award (Top 5%) |
26.3% Acceptance Rate
Improving Reliability of Virtual Collision Responses: A Cue Integration Technique
Seungwon Do and Byungjoo Lee
2020 CHI Conference on Human Factors in Computing Systems (CHI '20)
Paper |
Talk |
24.3% Acceptance Rate
Fingering Augmentation System for Guitar Learning
Seungwon Do, Hyungil Kim, and Woontack Woo
Korea Computer Congress 2018
Honors and Awards
Awards
- ACM CHI 2021 Honorable Mention Award | 2021
- SK Creative Challenge 2nd Prize | 2018
- KAIST Invention Award 2nd Prize | 2018
- Paper Contest of Korea Computer Congress 1st Prize | 2018
- Graduation Exhibition in Dept. of Electrical Engineering 1st Prize | 2017
Scholarships
- KAIST Alumni Association Scholarship | 2020
- SAMSUNG Oh-Heon Kwon Scholarship | 2015 - 2016
- National Excellence Scholarship (Natural Science and Engineering) | 2015 - 2016
- POSTECH Jigok Scholarship | 2013 - 2014
Patents
Domestic
- System and Method for Hypergraph-based Multi-agent Battlefield Situation Awareness Doc | 2023
- Guitar Learning System Using Augmented Reality Doc | 2021
Services
Reviewing
CHI | 2025, 2024, 2023, 2022, 2021
CHI PLAY WIP | 2022, 2020
Seminar
EIRIC | 2021
Projects
Work Projects
Development of Explainable Spatio-temporal Complex Battlefield Situation Awareness Technology
| 2023 - 2027
This project, funded by the Korean Defense Acquisition Program Administration, aims to develop a battlefield situation awareness system that analyzes battlefield information collected from a virtual battlefield simulator using artificial intelligence technologies. The system enhances battlefield analysis through multiple hypothesis generation, object interaction analysis, and scene graph generation.
Realtime Complex Battlefield Situation Awareness Technology
| 2022 - 2026
This project, funded by the Korean Defense Acquisition Program Administration, aims to develop a battlefield situation awareness system that leverages Manned-Unmanned Teaming (MUM-T) systems to analyze battlefield information collected by UAVs using artificial intelligence technologies. The system enhances real-time situational awareness and prediction to support strategic decision-making through video image quality enhancement, object semantic segmentation, object recognition and reconstruction, scene graph generation, and knowledge analysis.
Situation Awareness Technology using Swarm Ultra-small Robots
| 2022 - 2027
This project, funded by the Korean Defense Acquisition Program Administration, aims to develop a battlefield situation awareness system utilizing swarm ultra-small ground robots to analyze battlefield information collected by the robots using artificial intelligence technologies. The system enhances real-time situational awareness and prediction to support strategic decision-making through cooperative object recognition, tracking and dynamic behavior inference, place recognition, and model optimization.
A Study on Realtime Multi-Layer Battle Situation Awareness in Time and Space for AI Military Staff
| 2021 - 2022
This project, funded by ETRI, aims to develop a battlefield situation awareness system that analyzes unstructured battlefield information, including video and text data collected by combat assets, using artificial intelligence technologies. The system enhances battlefield analysis through battlefield data generation, cooperative object recognition, automatic labeling, and scene graph generation.
Pol-Bot Development for Conversational Police Knowledge Services
| 2020 - 2021
This project, funded by the Korean National Police Agency, aims to develop an interactive knowledge service system that analyzes voice and text data collected from police and public security services using artificial intelligence technologies. The system provides security-related information through natural language processing-based question-answering, speech recognition and conversion, and automated legal information retrieval.
Personal Projects
Hand Interfaces using Hand Detection Model
Software engineer for a hand interfaces model | 2023
#ComputerVision #SupervisedLearning
3D Objects Visualization Tool
Software engineer for a 3D visualization tool | 2022
#OpenGL #GUI
Two Thumbs Typing Simulation
Software engineer for a two thumbs typing simulation | 2021
#ComputationalUserModeling #ReinforcementLearning
Museum Collection Voting System on Kiosk
Software engineer for a system displaying museum collection information
National Museum of Modern and Contemporary Art | 2019
#Unity
YelLouder: Shouting Game using Human Voice Pitch and Volume
Software engineer for a media art using a human voice
PlaceMak gallery | 2019
#Unity #MediaArt
PathGuider: Exploration Assistance System for Virtual Reality Environment
Software engineer for a path-guiding system in virtual reality
Korea Advanced Institute of Science and Technology | 2018
#Unity #HTCVive #VR
Intuitive Guitar Musical Note Indicator
Software engineer for a guitar musical note indicator program
Pohang University of Science and Technology | 2017
#OpenGL #AR
Intuitive Drone Control using Leap Motion
UX designer for a drone control system using leap motion
Seoul National University | 2016
#Drone #LeapMotion
Yut-marble: Multiplayer Game for Korean Blue Marble
Project manager and software engineer for a customized blue marble game
Pohang University of Science and Technology | 2015
#QT #C++ #Game
Skills
- Programming
- C, C++, C#, Java, and Python
- Application Development (VR/AR)
- Unity
- Data Analysis & Visualization
- MATLAB and R
- Motion Capture
- Optitrack
- Robotics
- ROS1 and ROS2
Curriculum Vitae
Download CV (Last updated: Mar 23, 2023)