Sehun Chun, Ph.D.

Assistant Professor of Applied Mathematics, Integrated Science and Engineering Division (ISED), Underwood International College (UIC)

Adjunct faculty, Artificial Inteligence, Potang University of Science and Technology (POSTECH),

Yonsei University, Seoul, South Korea

OFFICE: #413 at Veritas Hall B, YIC

PHONE: +82 (0)32 749 3607

Email: sehun.chun at yonsei.ac.kr

Find me at Facebook, ResearchGate, and Mendeley.


•  Education : 

Brown University , Ph.D. in Applied Mathematics, Providence, US, May 2008 

Brown University, M.S. in Applied Mathematics, Providence, US, May 2005.

Purdue University, M.S. in Mathematics, West Lafayette, US, May 2003.

Seoul National University, B.S. in Mech. & Aero Engineering, Seoul, South Korea, Feb 1999.


• Work experience :

Assistant Professor of Applied Mathematics, UIC, Yonsei University, Incheon, South Korea, 2016 - present

Adjunct faculty, Artificial Inteligence, Potang University of Science and Technology (POSTECH), 2024 - present 

Visiting faculty, Department of Mechanical Engineering, Keio Univeristy, Japan, 2022 - present.

Guest visiting faculty, Mathematics and Computer Science division, Argonne National Laboratory, US,  2022 - present

Residential Researcher, African Institute for Mathematical Sciences, Cape Town, South Africa, 2012 - 2015

Research Associate, Imperial College London, London, UK, 2009 - 2011

Visiting Research Fellow, Carnegie Mellon University, Pittsburgh, US, 2008

Research Assistant, Brown University, Providence, US, 2004-2008

Teaching Assistant, Brown University, Providence, US, 2007

Teaching Assistant, Purdue University,  West Lafayette, US, 2001-2002

• Research Interests:

Keywords:  Computational Neuroscience, Computational Cardiology, Computational Electrodynamics, Moving Frames, Curved surfaces

My research interest lies in the multidisciplinary area of scientific computing, differential geometry, partial differential equations, and optimization with applications to computational electrodynamics, meteorology, machine learning, cardiac electrophysiology, and neuroscience. For numerical simulation, the main specialty is the spectral/hp method, especially discontinuous Galerkin methods, on multi-dimensional complex domains. For geometrical analysis and optimization, the main tool is the method of moving frames with connection and curvature.


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