Seokbin Yoon

I'm a first-year Ph.D. student in Mechanical and Aerospace Engineering at George Washington University, advised by Peng Wei. My research lies at the intersection of air traffic control and machine learning. Previously, I received my Master's degree in Air Transportation at Korea Aerospace University, advised by Keumjin Lee, where I worked on multi-agent trajectory modeling and generative models for flight trajectories. I received my Bachelor's degree in Air Transportation at the same university.

Research Keywords: autonomous air traffic control, multi-agent systems, human-machine interactions, deep generative models

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I'm interested in autonomous air traffic control, multi-agent systems, human-machine interactions, and deep generative models. Much of my research is about learning how aircraft interact with one another, and using those representations to predict, explain, and eventually automate decisions in complex air traffic situations.

For the full list of publications, see my Google Scholar.

Template adapted from Jon Barron.