This track focuses on the development and application of statistical theories and methodologies. It aims to explore innovative approaches to statistical inference, estimation, and hypothesis testing.

This session highlights the role of applied mathematics in solving complex engineering problems. Topics may include mathematical modeling, optimization, and numerical methods in various engineering disciplines.

This track addresses the application of statistical methods in the field of health and medicine. It emphasizes biostatistical techniques for analyzing health data and improving public health outcomes.

This session explores the methodologies and tools for analyzing large datasets across various domains. It focuses on the challenges and opportunities presented by big data in statistical analysis and decision-making.

This track delves into the techniques for analyzing time-dependent data and making forecasts. It covers both traditional and modern approaches to time series modeling and their applications in various fields.

This session emphasizes the importance of computational tools in statistical analysis. It includes discussions on software development, programming languages, and algorithms used in statistical computing.