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Daewa Kim

Postdoctoral Research Assistant

411A Armstrong Hall

 

Dr. Daewa Kim went on to earn degrees in mathematics, studying both pure mathematics and applied mathematics. She was nominated by the Department of Mathematics for the NSM Best Dissertation award at the University of Houston. Also, she worked as a fellow at the Center for Advanced Computing and Data Science at the University of Houston. She is an active member of the Association for Women in Mathematics (AWM). Since she had been a student chapter officer of the Association for Women in Mathematics (UH-AWM), she has the experience to encourage and mentor students who are currently pursuing careers, and to build a network in mathematics. As part of this effort, she was on the organizing committee of Texas Women in Mathematics Symposium (TWIMS) 2018. She is also a member of the Society for Industrial and Applied Mathematics (SIAM). Currently, she is a postdoctoral research assistant at West Virginia University.


Education:

UNIVERSITY OF HOUSTON
2019 PH. D. MATHEMATICS
2016 M.S. APPLIED MATHEMATICS

PUSAN NATIONAL UNIVERSITY, SOUTH KOREA
2013 M.S MATHEMATICS
2010 B.S. MATHEMATICS


Research Interests:

Dr. Daewa Kim is interested in mathematical modeling in life sciences and numerical analysis. She has explored the models of real-world problems and also considered the computational and numerical simulations based on theoretical explanations.  Specifically, her research is in a kinetic theory approach for pedestrian (crowd) dynamics. She has worked on devising an efficient numerical algorithm for the kinetic theory model and its validation against computational results in the literature and experimental data. Also, she is working on the coupling of the pedestrian dynamics model with a kinetic theory model for the spreading of infectious disease and combining crowd movement modeling and stochastic simulations to model the transmission of disease between individuals passing through an enclosed space (ex. train stations). This analysis method can be used to inform the design and management of streams of pedestrians (travelers) passing through transportation hubs and other spaces that handle large volumes of traffic.

  • Pedestrian Dynamics (Crowd dynamics)
  • Mathematical Modeling in social systems
  • Numerical Analysis
  • Applied Mathematics

Courses offered at WVU:

  • MATH 251 Multivariable Calculus

  • MATH 377 Operations Research


Recent Publications:

Daewa Kim and Annalisa Quaini, Coupling kinetic theory approaches for pedestrian dynamics and disease contagion in a confined environment, arXiv (Preprint), 2020

Daewa Kim and Annalisa Quaini, A kinetic theory approach to model pedestrian dynamics in bounded domains with obstacles, Kinetic & Related Models, 6, 1273-1296, Dec. 2019. doi: 10.3934/krm.2019049

Samiul Haque, Laszlo P. Kindrat, Li Zhang, Vikenty Mikheev, Daewa Kim, Sijing Liu, Jooyeon Chung, Mykhailo Kuian, Jordan E. Massad, Ralph C. Smith, Uncertainty-enabled design of electromagnetic reflectors with integrated shape control, Proc. SPIE, 105961D-1–105961D-13, Mar. 22, 2018. doi: 10.1117/12.2300396

Daewa Kim and Donghi Lee, A new proof for small cancellation conditions of 2-bridge link groups, Hiroshima Mathematical Journal, 42, No. 3, 411-423 Nov. 2012.