Kwon, Kil Hyun

The main research area is sampling theories in various functional spaces. Recently he has a strong interest in irregular sampling theories in shift-invariant spaces(SIS), average sampling series in SIS, vector sampling theories in SIS, channeled sampling theories in SIS and its aliasing errors. He is interested in not only sampling theories in SIS but also ones in Wavelet sub-spaces and reproducing kernel Hilbert spaces. Multi-resolution analysis and harmonic analysis are research interests as well.

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Differential Equations Part III Systems of Equations (Coursera) Coursera
Korea Advanced Institute of Science and Technology - KAIST

Differential Equations Part III Systems of Equations (Coursera)

Explore the intricate world of systems of ordinary differential equations (ODEs) with our advanced online course. Designed for those who need a practical understanding of ODEs, this course covers essential concepts, methods for solving various types of systems, and applications in diverse fields. Learn about linear systems, stability analysis, phase plane analysis, and more from expert instructors.

Jun 15th 2026
5-12 Weeks
Differential Equations Part II Series Solutions (Coursera) Coursera
Korea Advanced Institute of Science and Technology - KAIST

Differential Equations Part II Series Solutions (Coursera)

Expand your understanding of differential equations by delving into the intricacies of series solutions with our Part II Series Solutions course. Designed for those who need practical knowledge of differential equations, this course introduces advanced concepts and techniques for solving complex mathematical problems. Learn at your own pace and apply your newfound skills to various fields.

Jun 8th 2026
5-12 Weeks
Introduction to Ordinary Differential Equations (Coursera) Coursera
Korea Advanced Institute of Science and Technology - KAIST

Introduction to Ordinary Differential Equations (Coursera)

Discover the basics of Ordinary Differential Equations (ODEs) with an introductory course designed for beginners. Gain essential skills in solving various types of ODEs, including first and second-order linear equations. Apply your knowledge to practical problems and learn how mathematics can be used to model real-world scenarios.

Jun 1st 2026
5-12 Weeks
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