Tentative Program

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.