Seokbin Yoon
Seokbin Yoon

Research Assistant

Korea Aerospace University

Biography

I’m a researcher specializing in air traffic management and deep learning, with a strong focus on trajectory modeling, and multi-agent learning. I blog about AI applications for safer and more efficient air traffic systems. I apply a mix of machine learning and deep learning to solve complex problems in avitaion. My research explores how AI can enhance decision-making, improve air traffic operations, and drive the future of autonomous air traffic systems.

If you’re interested in collaborating or discussing AI in aviation, feel free to reach out! 😃

Download CV
Education

  • M.S. Air Transportation & Smart Air Mobility

    Korea Aerospace University

  • B.S. Air Transportation

    Korea Aerospace University

Experience

  1. Research Assistant

    Air Transportation Modeling and Control Laboratory, Korea Aerospace University

    • Developing multi-agent trajectory model for flight trajectory prediction in terminal airpsace.

    • Developing automatic air traffic control speech recognition model.

    • Working on air traffic complexity inference with computer vision method.

Education

  1. M.S. Air Transportation & Smart Air Mobility

    Korea Aerospace University
    Grade: 4.0/4.5
    • Thesis on Trajectory Reconstruction and Prediction for Vectored Area Navigation Arrivals. Supervised by Dr. Keumjin Lee.

    Relevant Coursework: Machine Learning, Computer Vision, Engineering Economy, Airport Simulation, Unmanned Aircraft System

    Read Thesis

  2. B.S. Air Transportation

    Korea Aerospace University
    Grade: 3.98/4.5

    Relevant Coursework: Air Traffic Management, Air Traffic Control, Probability & Statistics, Aviation Policy, Aviation Meteorology, Flight Operation Planning & Control

    License: Air Traffic Controller

Recent Publications

Visit my Google Scholar profile here to see my publicly available publications. Details on previous research and academic projects can be found in the projects tab.

Seokbin Yoon, Keumjin Lee (2025). Aircraft Trajectory Prediction with Inverted Transformer. IEEE Access.
Cite DOI
Hong-Ah Chai, Seokbin Yoon, Keumjin Lee (2025). Learning to Explain Air Traffic Situation. arXiv preprint arXiv:2502.10764.
Cite DOI
Seokbin Yoon, Keumjin Lee (2025). MAIFormer- Multi-Agent Inverted Transformer for Flight Trajectory Prediction. In preparation.
Cite
Jungu Kang, Seokbin Yoon, Keumjin Lee, Sang Hyun Kim (2024). Urban Air Mobility Fleet Rebalancing with Real-Time Updates on Estimated Time of Arrival. 2024 AIAA DATC/IEEE 43rd Digital Avionics Systems Conference (DASC).
Cite DOI
Seokbin Yoon, Keumjin Lee (2023). Improving Aircraft Trajectory Prediction Accuracy with Over-sampling Technique. 2023 IEEE/AIAA 42nd Digital Avionics Systems Conference (DASC).
Cite DOI
See all publications
Awards
Best Paper of the Session
AIAA/IEEE Digital Avionics System Conference 2024 ∙ November 2024
As a coauthor, I contributed to the paper titled "Urban Air Mobility Fleet Rebalancing with Real-Time Updates on Estimated Time of Arrival", and we were horored with Best of the Session award at the 43rd IEEE/AIAA Digital Avionics Systems Conference (DASC 2024) in San Diego, CA, USA.
President’s Award
Korea Aerospace University ∙ August 2024
At the graduate research competition at Korea Aerospace University, I was hornored with the President's Award for my research on developing a long short-term trajectory prediction model for urban air mobility.
Best Paper of the Session
AIAA/IEEE Digital Avionics System Conference 2023 ∙ October 2023
As a coauthor, I contributed to the paper titled "Safety and Capacity Analysis Framework for Integrated UAM Operation in Airports", and we were horored with Best of the Session award at the 42nd IEEE/AIAA Digital Avionics Systems Conference (DASC 2023) in Barcelona, Spain.
Brain Korea 21 Plus (BK21+) Research Scholarship
Korean Goverment ∙ March 2022
Recipient of the Korean Government's merit-based full scholarship.