An official invitation letter will be provided upon successful registration for your participation in the conference.
학술대회 참가 등록이 정상적으로 완료되면 공식 초청장이 발급됩니다.
Plenary, keynote and parallel sessions.
전체회의, 기조연설 및 분과 세션.
Connect with fellow researchers.
동료 연구자들과의 교류.
Digital certificate of participation.
디지털 참가 증명서 발급.
Official letter after successful registration.
등록 완료 후 공식 초청장 발급.
E-proceedings & resource materials.
전자 논문집 및 참고 자료.
Learn from leading experts & scholars.
저명한 전문가 및 학자들의 강연.
The conference's session tracks effectively support the following SDGs.
본 학술대회의 세션 트랙은 다음의 지속가능발전목표를 효과적으로 지원합니다.
This track focuses on the latest developments in numerical methods for solving complex mathematical problems. Contributions that explore innovative algorithms and their applications in various fields are highly encouraged.
This session highlights the integration of computational techniques with data science methodologies. Papers that demonstrate the application of numerical methods in data analysis and interpretation will be featured.
This track addresses the role of high-performance computing in enhancing the efficiency of numerical simulations. Participants are invited to present research that showcases the impact of HPC on computational science.
This session is dedicated to the exploration of optimization algorithms and their applications in various scientific domains. Submissions that present novel approaches to optimization problems are particularly welcome.
This track focuses on the development and application of statistical models for data analysis. Papers that address innovative modeling techniques and their implications for scientific research are encouraged.
This session explores the intersection of machine learning and computational science. Contributions that illustrate the application of machine learning techniques to solve numerical problems are sought.
This track emphasizes the numerical analysis of differential equations and their applications in various scientific fields. Papers that propose new methods or improvements to existing techniques are invited.
This session focuses on the role of linear algebra in the development of numerical methods for scientific computing. Contributions that highlight innovative applications of linear algebra techniques are encouraged.
This track aims to showcase the application of quantitative methods in diverse research fields. Papers that demonstrate the effectiveness of numerical techniques in real-world scenarios are welcome.
This session is dedicated to the application of computational methods in physics, particularly through simulations. Contributions that explore new computational approaches to physical problems are encouraged.
This track examines the integration of artificial intelligence techniques within numerical methods. Papers that explore AI-driven approaches to enhance computational efficiency and accuracy are particularly welcome.