Talks
Talks
Invited talk in SIAM Conference on Computational Science and Engineering (CSE25), Texas, U.S.
March 02-March 09, 2025
Title: Finite Element Operator Network for Solving Forward and Inverse Parametric Pdes
Invited talk in Numerical Modeling and Machine Learning for Scientific Computing, Cheonan, Korea
January 06-January 07, 2025
Title: Learning solution operators of partial differential equations
Invited talk in 3rd NIMS-MINDS-ACMSI Industry-Academia Technology Conference, Seoul, Korea
December 20-December 21, 2024
Title: Two approaches using Deep Learning to solve partial differential equations
Invited talk in KSIAM 2024 Annual Meeting, Busan, Korea
December 5-December 8, 2024
Title: Real-Time Solutions to PDEs with Neural Operators in SciML
Invited talk in Department of Mathematics at Kyungpook National University, Daegu, Korea
December 4-December 5, 2024
Title: Real-Time Solutions to PDEs with Neural Operators in SciML
Invited talk in Department of Mathematics at Chonnam National University, Gwangju, Korea
November 21-November 22, 2024
Title: Deep Learning and Differential Equations
Invited talk in 8th Young Scholar Symposium (YSS), Central South University, Changsha, China
November 15-November 18, 2024
Title: Deep learning approaches for solving forward and inverse problems in partial differential equations
Invited talk in Workshop in KIAS Center for AI and Natural Sciences Fall Workshop, Incheon, South Korea
November 5-November 8, 2024
Title: Real-Time Solutions to PDEs with Neural Operators in SciML
Invited talk in Computational and Applied Mathematics Seminar at Mathematics Department of NC State University, Raleigh, North Carolina, U.S.
October 18, 2024
Title: Real-Time Solutions to PDEs with Neural Operators in SciML
Invited talk in HYKE meeting 2024, Hanyang University, Seoul, Korea.
August 22, 2024
Title: Deep learning approach for solving kinetic equations
Invited talk in 2024 Korean Artificial Intelligence Association, Busan, Korea.
August 17, 2024
Title: Real-Time Solutions to PDEs with Neural Operators in SciML
Invited talk in Department of Mathematics, Inha University, Incheon, Korea.
July 30, 2024
Title: Real-Time Solutions to PDEs with Neural Operators in SciML
Invited talk in National Institute of Mathematical Sciences (NIMS), Innovation Center for Industrial Mathematics (ICIM), Pangyo, South Korea
July 4, 2024
Title: Two approaches using Deep Learning to solve partial differential equations
Invited talk in Department of Mathematics, Incheon National University, Incheon, South Korea
June 13, 2024
Title: Deep Learning and Partial Differential Equations
Invited talk in Workshop in Machine Learning and Numerical Analysis, Pohang, South Korea
May 31-June 2, 2024
Title: Real-Time Solutions to PDEs with Neural Operators in SciML
Invited talk in Department of Mathematics, Chung-Ang University, Seoul, South Korea
May 21, 2024
Title: Deep Learning and Partial Differential Equations
Invited talk in Department of Mathematics, Kon-kuk University Seoul, South Korea
May 16, 2024
Title: Two approaches using Deep Learning to solve partial differential equations
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