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Heonkyu Ha

1992. 03. 26

Languages

  • Korean (Native)
  • English (Intermediate)

Interests

  • Least Squares Finite Element Method
  • Deep Learning

Education

M.S. in Computational Science and Engineering

2016. 03 - 2019. 02
Yonsei University, Seoul, Republic of Korea
  • Major
    Applied Mathematics (Numerical Analysis)
  • Thesis
    Numerical simulations: An approximation of MHD equations using least squares FEM and survey of medical imaging feature extraction using CNN
  • Advisor
    Eunjung Lee

B.S. in Mathematics

2012. 03 - 2016. 02
Sejong University, Seoul, Republic of Korea
  • GPA
    4.20/4.50 (Magna Cum Laude)

Experiences

Researcher with Technical Research Personnel

2019. 03 - Present
Boolt Simulation, Seoul, Republic of Korea

Projects

Material Target Vulnerability Analysis Model SW Framework

2019. 03 - Present
Agency for Defence Development, Daejeon, Republic of Korea

TBA

BIM-Based Weapon Lethality/Effectiveness Analysis System

2019. 03 - Present
Agency for Defence Development, Daejeon, Republic of Korea

TBA

HC/IVD Animal Quarantine Real-Time PCR Algorithm (Advanced)

2018. 08 - 2018. 12
SK Telecom, Seoul, Republic of Korea

Algorithm optimization and programming(C#) of real-time PCR algorithm.

Real-Time PCR Algorithm

2017. 08 - 2017. 12
SK Telecom, Seoul, Republic of Korea

Algorithm design and programming(C) of real-time PCR algorithm.

Publications

Published
An L2 finite element approximation for the incompressible Navier-Stokes equations
Eunjung Lee, Wonjoon Choi, Heonkyu Ha
Numerical Methods for Partial Differential Equations, vol. 36, no. 6, pp. 1389-1404, 2020. 11.
Differentiation of thyroid nodules on US using features learned and extracted from various convolutional neural networks
Eunjung Lee, Heonkyu Ha, Hye Jung Kim, Hee Jung Moon, Jung Hee Byon, Sun Huh, Jinwoo Son, Jiyoung Yoon, Kyunghwa Han, Jin Young Kwak
Scientific Reports, vol. 9, no. 19854, pp. 1-11, 2019. 12.
A least squares finite element method using Elsasser variables for magnetohydrodynamic equations
Eunjung Lee, Heonkyu Ha, Sang Dong Kim
Journal of Computational and Applied Mathematics, vol. 346, pp. 599-608, 2019. 01.

Presentations

Talk
A least squares approach using displacements for magnetohydrodynamic equations
12th SIAM: East Asian Section Conference 2017
Seoul National University, Seoul, Republic of Korea, 2017. 06. 22 - 2017. 06. 25.
Poster
Ultrasound image-based thyroid nodule classification using CNN-extracted features
KSIAM 2018 Annual Meeting
Ramada Plaza Jeju, Jeju Island, Republic of Korea, 2018. 11. 02 - 2018. 11. 04.
Numerical simulations with FOSLL* for 2D incompressible Navier-Stokes equations
15th CSE Poster Exhibition
Yonsei University, Seoul, Republic of Korea, 2018. 03. 23.
Least squares approach for magnetohydrodynamic equations
13th CSE Poster Exhibition
Yonsei University, Seoul, Republic of Korea, 2017. 04. 07.

Awards

3rd Place

2018. 11
The 2nd KSIAM-MathWorks Problem Challenge Series 2
Korean Society for Industrial and Applied Mathematics

3rd Place

2018. 11
The 2nd KSIAM-MathWorks Problem Challenge Series 1
Korean Society for Industrial and Applied Mathematics

2nd Place

2017. 04
CSE Best Poster Awards 2017
Department of Computational Science and Engineering, Yonsei University

3rd Place in the Colleges of Natural Sciences and Biological Sciences

2014. 12
The 1st SW Competition
Sejong University

1st Place in the Major Division

2014. 11
The 7th Calculus Competition for the Department of Mathematics and Statistics
Department of Mathematics and Statistics, Sejong University

Skills & Proficiency

C++

MATLAB

C

Python