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 applied statistical methods and their practical applications across various fields. Researchers are encouraged to present novel statistical techniques that address real-world challenges.
This session explores the role of mathematical modeling in understanding and solving complex systems in science and engineering. Contributions that demonstrate the application of models to real-life problems are particularly welcome.
This track emphasizes the development and application of statistical methods tailored for big data environments. Papers that showcase innovative approaches to data analysis and interpretation in large datasets will be highlighted.
This session investigates the intersection of machine learning techniques and traditional statistical inference methods. Contributions that bridge these two domains to enhance predictive modeling are encouraged.
This track addresses methodologies for risk analysis and the quantification of uncertainty in statistical models. Papers that provide insights into managing uncertainty in decision-making processes are sought.
This session focuses on optimization methods and their applications in various fields of applied mathematics. Researchers are invited to present their work on both theoretical advancements and practical implementations.
This track examines the role of probability distributions in statistical modeling and data analysis. Contributions that explore new distributions or innovative applications of existing ones are encouraged.
This session highlights the use of simulation techniques in data science for modeling complex phenomena. Papers that demonstrate the effectiveness of simulation in statistical analysis and decision-making are welcome.
This track explores the application of quantitative analysis methods in social science research. Contributions that utilize statistical techniques to derive insights from social data are particularly encouraged.
This session focuses on the application of statistical methods in various industrial contexts. Researchers are invited to share case studies and practical applications that demonstrate the impact of statistics on industry practices.
This track investigates emerging trends and technologies in data analytics, including novel algorithms and tools. Contributions that address the future directions of data analytics in research and practice are highly encouraged.