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I'm a first-year Ph.D. student in Mechanical and Aerospace Engineering at George Washington University, where I am a member of the Intelligent Aerospace Systems Lab, advised by Peng Wei. My work draws on machine learning and air traffic management to develop data-driven methods for understanding, modeling, and supporting complex air traffic operations. My research spans multi-agent trajectory modeling, generative modeling of air traffic scenes, and learning-based decision support for air traffic control. Before joining GW, I received my Master's degree in Air Transportation from Korea Aerospace University, advised by Keumjin Lee. There, I worked on multi-agent trajectory prediction and generative modeling of flight trajectories. I also received my Bachelor's degree in Air Transportation from Korea Aerospace University. Research Keywords: autonomous air traffic control, multi-agent systems, human-machine interactions, deep generative models Email / CV / Google Scholar / LinkedIn / GitHub |
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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. |
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Template adapted from Jon Barron. |