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 advancements in statistical methodologies applicable to data science. It aims to explore innovative techniques for data analysis, interpretation, and visualization.
This session highlights the role of applied mathematics in solving complex engineering problems. Participants will discuss mathematical modeling techniques and their applications in various engineering fields.
This track delves into the foundational aspects of probability theory and its practical applications. It encourages discussions on stochastic processes and their relevance in real-world scenarios.
This session emphasizes the integration of computational techniques within computer science engineering. Topics include algorithm design, optimization, and software development for numerical applications.
This track explores the intersection of life sciences and engineering through mathematical modeling and simulation. It aims to address challenges in biomedical engineering and healthcare analytics.
This session focuses on the application of numerical methods in security engineering. Discussions will cover risk assessment models and the development of secure systems through mathematical frameworks.
This track investigates the latest developments in numerical analysis and computational mathematics. It includes discussions on finite element methods, finite difference methods, and their applications.
This session is dedicated to optimization algorithms and their applications in nonlinear system modeling. Participants will share insights on algorithm efficiency and stability analysis.
This track focuses on stochastic modeling and its applications in various fields. It aims to explore simulation techniques that enhance understanding of complex systems.
This session highlights the role of high-performance computing in scientific research and engineering. Topics include computational fluid dynamics and multiphysics modeling.
This track emphasizes the development of data-driven modeling frameworks for real-world problem solving. It encourages discussions on the integration of technology and mathematics in data analysis.