Jung-Han Kimn

Jung-Han Kimn is an Associate Professor in the Department of Mathematics and Statistics at the University of South Dakota. His research focuses on numerical methods for partial differential equations, domain decomposition techniques, parallel algorithms, and computational physics. He holds a Ph.D. in Mathematics from the Courant Institute (NYU) and has extensive academic experience in applied functional analysis and numerical linear algebra.

Education:

• B.A. in Mathematics, Yonsei University (1992)
• M.S. in Mathematics, Seoul National University (1994)
• Ph.D. in Mathematics, New York University (2001)

Research Interests:
Dr. Kimn specializes in large-scale simulations using domain decomposition methods for engineering and physics problems. His work emphasizes numerical solutions to PDEs, spacetime finite element methods, and high-performance computing applications. Notable projects include analyzing scramjet engine dynamics, ghost field stabilization in quantum systems, and solar energy forecasting models.

Teaching Responsibilities:
He instructs advanced courses such as Math 321 (Differential Equations), Math 331 (Advanced Engineering Mathematics), Math 751 (Applied Functional Analysis), and Math 770 (Numerical Linear Algebra). He also contributes to academic governance via the Harding Distinguished Lecture Committee and Professional Development Committee.

Research Contributions:
Recent work spans computational fluid dynamics (impinging jets, biofilm flows), quantum mechanics (Dirac equation solutions), and energy systems (optimal power flow optimization). His methodologies prioritize parallel computing scalability and algorithmic innovation.

Professional Activities:
Organized the Holistic Summer Undergraduate Research Program in High Performance Computing (2019) and developed frameworks for seismic fragility analysis in civil engineering systems.