Air Transportation Modeling and Control Laboratory
Department of Air Transport, Transportation and Logistics, Korea Aerospace University
Department of Air Transport, Transportation and Logistics, Korea Aerospace University
Welcome to Our Lab!
Towards Safe and Intelligent Air Traffic Operations
Air Transportation Modeling and Control Laboratory (ATMCL, Principal Investigator: Professor Keumjin Lee) conducts research on air traffic management (ATM), developing data-driven modeling and optimization methods for safer and more efficient aircraft operations, such as air traffic flow management, flgiht trajectory prediction, free route airspace, and advanced ATM technologies. ATMCL also studies unmanned traffic management (UTM), aiming to ensure safe low-altitude operations through geofencing, path planning, conflict management, and risk assessment frameworks.
Juhwan Lee, Seokbin Yoon win the Best of Session Award at the IEEE/AIAA Digital Avionics Systems Conference in Orlando, Florida, USA
Juhwan Lee (first author) presents research on “Airport Terminal Passenger Queue Forecasting for Departure Gates and Security Checkpoints,” co-authored with Seokbin Yoon, Keumjin Lee, Hojong Baik, and Seyeon Jung at IEEE/AIAA Digital Avionics Systems Conference in Orlando, Florida, USA, Well done!
Nahyun Kim, Hangyeol Seon, and Taejung Kwon won the Grand Prize at the Land, Infrastructure and Transport AI Solution Challenge
Nahyun Kim, Hangyeol Seon, and Taejung Kwon are honored with a Grand Prize at the Land, Infrastructure and Transport AI Solution Challenge (Business Idea Competition) for their aviation insurance business idea. Big Congratulations!
May 05, 2026
New paper is aceepted at IEEE Transactions on Intelligent Transportation Systems
The paper “Multi-Agent Inverted Transformer for Flight Trajectory Prediction” by Seokbin Yoon and Keumjin Lee is accepted at IEEE Transaction on Intelligent Transportation Systems. Congratulations!!
Kyungmin Kim won the AIAA SciTech 2026 Intelligent Systems Student Paper Competition for the paper “Probabilistic Multi-Agent Aircraft Landing Time Prediction,” coauthored with Seokbin Yoon and Keumjin Lee.
September 30, 2025
Seonggin Lee is honored with an Excellence Award at the Veterans Startup Competition
Seonggin Lee is honored with an Excellence Award at the Veterans Startup Competition hosted by the Ministry of Patriots and Veterans Affairs, South Korea, for his AI-driven Aviation startup. Huge congratulations!
To Prospective Students
If you are interested in joining us as a graduate student or as an undergraduate intern, please send your resume with a few paragraph on your research interests and related skills to keumjin.lee@kau.ac.kr