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Extensions of Dynamic Programming, Machine Learning, Discrete Optimization
TREES
Extensions of Dynamic Programming, Machine Learning, Discrete Optimization

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Kinetic models

Hoyoun Kim

Postdoctoral Research Fellow, Applied Mathematics and Computational Science

Diffusion equations Kinetic models

Short Bio Hoyoun Kim is a Postdoctoral Research Fellow at the Applied PDE group of the Applied Mathematics and Computational Science program (AMCS) of CEMSE division at the King Abdullah University of Science and Technology, Saudi Arabia. He received a bachelor degree in Mathematics from Korea Advanced Institute of Science and Technology (KAIST), Korea, in 2016, and graduated with a Ph.D degree in Mathematics from KAIST in 2022. He joined KAUST and the Applied PDE group in September 2022. His research interests lie in the area of diffusion equations and kinetic theory.

Extensions of Dynamic Programming, Machine Learning, Discrete Optimization (TREES)

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