황형주 (Hyung Ju Hwang)

Education
○ Brown University (Ph. D): PDE, May 2002
○ POSTECH (MS) : Number Theory, Feb. 1997
○ POSTECH (BS) : Mathematics, Feb. 1995
Experience
○ Kwon Kyungwhan Chair Professor (09 2020 – 08 2023)
○ POSTECH Professor (07 2006 – present)
○ BK21 FOUR POSTECH Mathematics Division Director (2020.09~present)
○ POSTECH Assistant ~ Full Professor (07 2006 – present)
○ PCAM(포스텍 수리응용센터) Director (01 2017 – present)
○ POSTECH Blockchain Technology Center Vice Director (06 2018-Present)
○ AMSquare Corp. CTO & CEO (03 2019 – present)
○ Hanwha System (Non-executive) Director (03 2022 – 03 2024)
○ Brown University Visiting Professor (01 2015 – 12 2015)
○ Trinity College Dublin Permanent Lecturer (equiv. to Assistant Professor)  (09 2005 – 07 2007)
○ Max-Planck-Institute (07 2005 – 08 2005) Visiting Scholar
○ Duke University (08 2003 – 07 2005) Assistant Research Professor
○ Max-Planck-Institute (10 2002 – 07 2003) Postdoc
Research Area
○ Data Science, Mathematical AI, Neural Differential Equation
○ Mathematical Modeling (ODE, PDE, Stochastic modeling) & Applied Analysis
○ Kinetic Theory, Fluids, Mathematical Biology
Professional Activity
○ 경상북도 과학기술진흥위원회 위원, 2018.09.01~2023.01.10
○ Editor for Networks and Heterogeneous Media (NHM) 2019.1.1~2021.12.31
○ Editor for Kinetic and related models (KRM) 2019.1.1~2024.12.31
○ Editor for Bulletin of Korean Mathematical Society 2013.1.1~2018.12.31
○ Vice President of Korean Society of Industrial and Applied Mathematics (KSIAM) 2021.01~2022.12
○ Vice President of Korean Women for  Mathematical Sciences (KWMS) 2022.01~2022.12
○ Board member of Korean Mathematical Society (KMS) 2017.01.01 ~ 2018.12.31
○ Editor for KMS Newsletter 2015.01.01 ~ 2018.12.31
○ Board member for Korean Women in Mathematical Sciences 2016.01.01 ~ 2017.12.31
○ Board member of Korean Society for Mathematical Biology 2010
Teaching
○ Undergraduate
– Calulus, Ordinary Differential Equations, Linear Algebra, Complex analysis, Probability & Statistics
– Topology, Analysis, Nonlinear Ordinary Differential Equations, Partial differential equations
– Mathematical Modeling, Theory of Analytic Functions, Intro. to Probability theory
– Mathematics for Artificial Intelligence
○ Graduate
– Real Analysis I, Real Analysis II, Complex Analysis
– Partial Differential Eqns, Calculus of Variations
– Methods of Applied Mathematics I
– Applications of Mathematics and Big data○ 대중교육 및 대중강연
– 인공지능, 수학으로 한걸음 더 나아가기, STRONG Korea Forum, 한국경제신문 & 과기부, May 27 2020
– 조선대 수학과 강연, 수학을 통해 미래핵심기술 들여다보기, 2019.05.16
– 경희대 학부 콜로퀴움, 수학을 통해 미래핵심기술 들여다보기, 2018.11.14
– 카이스트 학부 콜로퀴움, 수학을 통해 미래핵심기술 들여다보기, 2018.10.25
– 중앙대 다빈치교양대학 학술대회, 수학을 통해 미래핵심기술 들여다보기, 2018.12.21
– 한국수리과학회 리더스 포럼, 수학을 통해 미래핵심기술 들여다보기, 2018.10.19
– 한동대 대중강연, 수학은 세상을 어떻게 움직이는가, 2018.4.25
– 포스코 재직자 대상 빅데이터 분석 교육 강의 2018
– 포스코 재직자 대상 확률 기초 및 통계 모형 특강 2018.
– 엠티콤 재직자 대상 빅데이터 분석 교육 강의, 2018
– 취준생 대상 빅데이터분석 교육 강의 2017. ~/2018
– 경북 도청 빅데이터분석 및 ML알고리즘 교육 강의 2017. ~

 

If that is you, read the description assignment expert of the women`s group here, and then email me here to tell me you are interested.