Talks
Invited talk in Department of Mathematics, The Chinese University of Hong Kong (online)
April 25, 2024
Title: Two approaches using Deep Learning to solve partial differential equations
Contributed talk in 2024 Winter Workshop on PDE and Applied Mathematics, KAIST, Daejeon, South Korea
January 22-24, 2024
Title: Learning Solution Operators of Partial Differential Equations and Their Application
Contributed talk in 2023 KIAS CAINS Workshop, Gyeongju, South Korea
November 23-25, 2023
Title: Finite Element Operator Network for Solving Parametric PDEs
Invited talk in Department of Applied Artificial Intelligence, Seoul National University of Science and Technology (online)
November 2, 2023
Title: Physics-Informed Neural Network
Invited talk in National Institute for Mathematical Sciences (NIMS), Daejeon, South Korea
October 6, 2023
Title: Two approaches using Deep Learning to solve partial differential equations
Invited talk in 2023 Postech SIAM Student Chapter (PSSC) SUMMER CAMP - Applied Mathematics and Machine Learning, POSTECH, Pohang, South Korea
August 30-31, 2023
Title: Deep Learning and partial differential equations
Invited talk in The 4th Korea-France Conference on Mathematics, KIAS, Seoul, South Korea
August 21-25, 2023
Title: Deep learning approach for solving kinetic equations
Invited talk in International Conference on Spectral and High Order Methods (ICOSAHOM) 2023, Yonsei University, Seoul, South Korea
August 14-18, 2023
Title: HyperDeepONet: learning operator with complex target function space using the limited resources via hypernetwork
Invited talk in Department of Mathematics, Gyeongsang National University, Jinju-si, Gyeongsangnam-do, South Korea
May 24, 2023
Title: Deep Learning and partial differential equations
Invited talk in Extrality monthly seminars: French startup - platform for fast numerical simulation (online)
May 23, 2023
Title: HyperDeepONet: learning operator with complex target function space using the limited resources via hypernetwork
Invited talk in 2023 KSIAM Spring Conference
May 19-21, 2023
Title: HyperDeepONet: learning operator with complex target function space using the limited resources via hypernetwork
Poster presentation in International Conference on Learning Representation (ICLR) 2023, Kigali, Rwanda
May 1-5, 2023
Invited talk in 2023 KMS Spring Meeting, Daejeon Convention Center, South Korea
April 27-29, 2023
Special Session on ‘Scientific Computing and Machine Learning’
Title: Learning solution operators of partial differential equations and their application
Invited talk in Department of Mathematical Data Science, Hanyang University ERICA Campus, Ansan, South Korea
April 12, 2023
Title: Deep Learning and partial differential equations
Invited talk in Department of Applied Mathematics, Kongju National University (online)
April 4, 2023
Title: Deep Learning and partial differential equations
Invited talk in Samsung Electronics Innovation Center CSE Team (혁신센터 CSE팀) (online)
March 23, 2023
Title: Two approaches using Deep Learning to solve partial differential equations
Invited talk in KAIST Applied and Computational Mathematics Seminar, Daejeon, South Korea
March 17, 2023
Title: Two approaches using Deep Learning to solve partial differential equations
Invited talk in SIAM Conference on Computational Science and Engineering (CSE23), Amsterdam, Netherlands
February 26 - March 3, 2023
Title: Two approaches using Deep Learning to solve partial differential equations
Invited talk in Seminar "Sciences - Computing - Data - Mathematics (SCDM)", Karlsruhe Institute of Technology, Karlsruhe, Germany
February 22, 2023
Title: Two approaches using Deep Learning to solve partial differential equations
Invited talk in Department of Mathematical Sciences, Seoul National University, Seoul, South Korea
February 16, 2023
Title: HyperDeepONet: learning operator with complex target function space using the limited resources via hypernetwork
Contributed talk in KIAS Center for AI and Natural Sciences Winter Workshop, Gangwon, South Korea
February 8-10, 2023
Title: HyperDeepONet: learning operator with complex target function space using the limited resources via hypernetwork
Invited talk in 2022 KSIAM Annual Meeting
November 24-27, 2022
Title: Learning solution operators of partial differential equations and their application
Invited talk in Workshop for Korea-UK AI/ML Research in Fundamental Sciences
October 31 - November 4, 2022
Title: Two approaches using Deep Learning to solve partial differential equations
Invited talk in 수요자중심의 과학영재정책 발굴/기획을 위한 토론회
October 26, 2022
Title: (Korean) 과학영재교육 수혜자의 입장에서
Invited talk in France-Korea IRL webinar in PDE (online)
October 14, 2022
Title: Deep learning approach for solving kinetic equations
Invited talk in Department of Mathematics, Dongguk University, Seoul, South Korea
October 7, 2022
Title: Two approaches using Deep Learning to solve partial differential equations
Invited talk in Department of Mathematics, Sungkyunkwan University, Suwon, South Korea
September 23, 2022
Seminar at Basic Research Laboratory
Title: Two approaches using Deep Learning to partial differential equations
Contributed talk in KIAS Center for AI and Natural Sciences Summer Workshop, Jeju, South Korea
August 31 - September 2, 2022
Title: Learning solution operators of partial differential equations
Invited talk in 2022 KSIAM-MINDS-NIMS International Conference on Machine Learning and PDEs: Theory, Algorithms, and Its Applications, Seoul, South Korea
August 10-12, 2022
Title: Two Approaches using Deep Learning to Partial Differential Equations
Contributed talk in Seminar at Center for AI and Natural Sciences, KIAS, Seoul, South Korea
May 31, 2022
Title: On deep learning approach to partial differential equations
Poster presentation in Association for the Advancement of Artificial Intelligence (AAAI), 2022 (Virtual)
Feb 24-27, 2022
Title: Solving PDE- constrained Control Problems using Operator Learning
Contributed talk in 2021 POSTECH MINDS WORKSHOP, Gyeongju, South Korea
November 19-20, 2021
Recent Progress in Data Science and Applications
Title: On the Neural Network Approach to PDEs
Invited talk in 2020 KMS Annual Meeting (online)
October 23-24, 2020
Special Session on ‘Kinetic Equations and Particle Dynamics’
Title: The model reduction of the Vlasov-Poisson-Fokker-Planck system to the Poisson-Nernst- Planck system via the Deep Neural Network Approach
Invited talk in 2019 KMS Annual Meeting, Hongik University, South Korea
October 25-27, 2019
Special Session on ‘Kinetic Equations and Particle Dynamics’
Title: Neural network solutions to the kinetic Fokker-Planck equation in a bounded interval