Sangwoo Kang
Assistant Professor,
Graduate School of Data Science,
12Engineering Building, #326
Pusan National University, Korea.
T. (+82) 051-510-7286
Curriculum Vitae: Link
Research Area
Inverse problems, Machine learning, Scientific computing, Bayesian inversion,
Grants
Mar. 2023, Sejong Science Fellowship, National Research Foundation of Korea
Mathematical analysis and development of sampling-type imaging methods in monostatic and bistatic configurations
Withdrawal by ADD’s bylaws (including the proper reason of National Research Foundation of Korea)
Mar. 2021 - Mar. 2023, research funds from KAIST 기초과학 4.0 중점연구소
"Mathematical analysis and improvement of non-iterative imaging algorithm in limited-view problem"
Awards
2022, Best Paper Award, 2022 KIEES summer conference, Jejudo, Korea.
2020, Silver Prize Award, 2020 ASCOF Fall Conference, Paris, France.
2018, Best Student Paper Award Finalist, 2018 International Symposium on Antennas and Propagation (ISAP 2018), Busan, Korea.
2018, Honorable Mention, URSI Student Paper Prize Competition, 2nd URSI Atlantic Radio Science Meeting, Grand Canaria, Spain.
Professional experience
Mar.2024 -Present. Assistant Professor, Graduate School of Data Science, Pusan National University, Korea.
Apr.2023 - Jan.2024, Senior Researcher, AI & Autonomy (AIA) Technology Center, Advanced Defence Science & Technology Research Institute Agency for Defense Development, Agency for Defense Development (ADD), Korea.
Jan.2021 - Mar.2023, BK21 Post Doctoral Researcher, Department of Mathematical Sciences, KAIST, Korea.
Post-doctor supervisor: Mikyoung Lim, Professor, Department of Mathematical Sciences, KAIST, Korea.
Dec.2019-Nov.2020, Post Doctoral Researcher, Chaire C2M, COMELEC department, Télécom Paris, France.
Topic: Study of numerical methods to calculate non-invasive SAR using spherical near-field measurement system
Post-doctor supervisor: Joe Wiart, Head of Chaire C2M, Comelec department, Télécom Paris, France
Coworked with MVG company
Education
Dec. 2016 - Nov. 2019, Ph.D. in Electrical Engineering, EOBE doctoral school, Paris-Sud University, University of Paris-Saclay, France.
Laboratory: GeePs | Group of electrical engineering-Paris
Thesis title: Direct sampling method in inverse electromagnetic scattering problem
defended on Nov. 14, 2019
Thesis advisor: Marc Lambert
Refrees: Amélie Litman (Institut Fresnel, Marseille Univsersity),Matteo Pastorino (University of Genoa)
External members: Mikyoung Lim(KAIST), Houssem Haddar(INRIA), Dominique Lesselier (L2S)
The Ph. D. was supported by a grant from Paris-Sud University.
Mar. 2013 - Aug. 2015, Master in Mathematics: Department of Mathematics, Yonsei University, Republic of Korea.
Thesis title: Degree theory and its application to partial differential equations
Thesis advisor: Kyungkeun Kang
Jury members: Seick Kim(Yonsei university), Jung-Il Choi(Yonsei university)
Mar. 2007 - Feb. 2013, Bachelor in Mathematics: Department of Mathematics, Kookmin University, Republic of Korea.
Advanced Program in Mathematics
Additional experience
2015-2016, Ph.D. student, Department of Computational Science & Engineering, Yonsei University.
Withdrawal for studying abroad
Advisor: Jung-il Choi
Subject: Homogenization theory in fluid dynamics
2014-2016, Teaching assistant, Department of Mathematics, Yonsei University.
Classes of Calculus (MAT1011, 1012), Advanced Calculus (MAT2016, 2017), Ordinary Differential Equations (MAT2421), Analysis I, II (MAT3109, 3110)
2011-2013, Student researcher, Department of Mathematics, Kookmin University.
Advisor: Won-Kwang Park
Subjects: Fourier series and analysis, basic concepts of Inverse Scattering Problems.
2008-2010, Military service, Military Information & Strategy Administration in Army, Korea.
Mandatory draft system with a duration of service 23 months
Selected as the best unit in security inspection of division.
Fellowships
2014-2016, Research and Teaching assistant fellowship, Yonsei University
2012, National fellowship (excellence in science and engineering), Republic of Korea.
2010-2012, 1st and 2nd class fellowship, Kookmin University
2007, 2nd class fellowship, Kookmin University
Computational skills
Language: Matlab, Python, Fortran
Software: FEKO (Electromagnetic computational software)
Computational imaging: direct sampling method, MUltiple SIgnal Classification (MUSIC), linear sampling method, migration-type method, etc.
Numerical PDE: finite difference method, boundary element method, finite element method