Korea Advanced Institute of Science and Technology (KAIST), Ph.D. in Robotics Program (Aug. 2022)
- Thesis: Adaptive 3D Object Tracking and Socio-Physically Acceptable Human Trajectory Prediction Using BERT for Social Navigation

Korea Advanced Institute of Science and Technology (KAIST), M.S. in Robotics Program (Feb. 2011)
- Thesis: Target Following for the Robotic Fish Using Evolutionary Optimized CPG and Gyro Sensor-based Vision Sway Compensation Module

Pohang University of Science and Technology (POSTECH), B.S. in Mechanical Engineering (Feb. 2009)

Seoul National University of Science and Technology, Assistant Professor (Sep. 2024 ~ Present)
- Department of Mechanical System Design Engineering

Electronics and Telecommunications Research Institute, Principal Researcher (Feb. 2011 ~ Aug. 2024)
- Mobility·Robot Research Division, Field Robotics Research Section

Motion Intelligence
- 3D Detection and Tracking of Moving Objects: 3D Semantic/Instance Segmentation, 3D Multi-Object Tracking
- Object Trajectory Prediction: Pedestrian, Vehicle

Action Intelligence
- Socio-Physical Understanding in Crowded Space
- Vision and Language Navigation: Object Goal Navigation, Language-guided Navigation
- Vision-Language-Action Models: Reinforcement Learning, Imitation Learning

Robot Applications of AI
- Socially-aware Navigation
- Object Goal Navigation
- Language-guided Navigation

Introduction to Artificial Intelligence
Introduction to Programming

- Dong-Hyun Lee, Sunglok Choi, Ki-In Na, “ASAP: Agile and Safe Pursuit for Local Planning of Autonomous Mobile Robots,” IEEE Access, vol. 12, pp. 99600-99613, 2024.

- Ki-In Na, Ue-Hwan Kim, and Jong-Hwan Kim, “SPU-BERT: Faster human multi-trajectory prediction from socio-physical understanding of BERT,” Knowledge-Based Systems, vol. 274, pp. 110637, 2023.

- Ki-In Na, and Byungjae Park, “Real‐time 3D Multi‐pedestrian Detection and Tracking Using 3D LiDAR Point Cloud for Mobile Robot,” ETRI Journal, vol. 45, issue 5, pp. 836-846, 2023.

- Soohwan Song, Ki-In Na, Wonpil Yu, “Anytime Lifelong Multi-Agent Pathfinding in Topological Maps,” IEEE Access, vol. 11, pp. 20365-20380, 2023.

- Ki-In Na, Sunglok Choi, and Jong-Hwan Kim, “Adaptive Target Tracking with Interacting Heterogeneous Motion Models,” IEEE Trans. on Intelligent Transportation System, vol. 23 issue 11, pp. 21301-21313, 2022.

- Hochul Shin, Ki-In Na, Jiho Chang, and Taeyoung Um, “Multimodal Layer Surveillance Map Based Anomaly Detection Using Multi-Agents for Smart City Security,” ETRI Journal, vol. 44, issue 2, pp. 183-193, 2022.

- Ki-In Na, Byungjae Park, Jong-Hwan Kim, "SPriorSeg: Fast Road-Object Segmentation using Deep Semantic Prior for Sparse 3D Point Clouds," IEEE International Conference on Systems, Man, and Cybernetics (SMC), Oct. 2020, pp. 3928-3933.

- Ki-In Na and Beomsu Seo, “Drivable Space Expansion from the Ground Base for Complex Structured Roads,” IEEE International Conference on Systems, Man, and Cybernetics, Oct. 2016, pp. 373-378.

- Byungjae Park, Ki-In Na, Jaemin Byun, and Woo Young Han, “Local Motion Planning using Closed-Loop Forward Simulation for Autonomous Vehicle,” IEEE International Conference on Systems, Man, and Cybernetics, Oct. 2016, pp. 1988-1993.

- Jaemin Byun, Ki-In Na, Beomsu Seo, and Myungchan Roh, “Drivable Road Detection with 3D Point Clouds based on the MRF for Intelligent Vehicle,” International Conference on Field and Service Robots, Dec. 2013, pp. 1-13.

- Ki-In Na, In-Bae Jeong, Seungbeom Han, and Jong-Hwan Kim, “Target Following with a Vision Sway Compensation for Robotic Fish Fibo,” IEEE International Conference on Robotics and Biomimetics, Dec. 2011, pp. 2114-2119.

- Ki-In Na, Chang-Soo Park, In-Bae Jeong, Seungbeom Han, and Jong-Hwan Kim “Locomotion Generator for Robotic Fish Using an Evolutionary Optimized Central Pattern Generator,” IEEE International Conference on Robotics and Biomimetics, Dec. 2010, pp. 1069-1074.

Korea Robotic Society (KRoC), Daejeon Chungcheong Chapter, Vice Chairman (Jan. 2022 ~ Dec. 2022)