Session Tracks

This track focuses on the development and application of mathematical models to describe phenomena in physical sciences. Contributions may include theoretical advancements and practical implementations across various domains such as physics and engineering.

This session invites papers that explore the integration of mathematical techniques in understanding complex biological systems. Topics may include population dynamics, epidemiological modeling, and systems biology.

This track emphasizes the role of differential equations in formulating and solving real-world problems. Participants are encouraged to present innovative methods and applications in both physical and life sciences.

This session highlights advancements in computational techniques for modeling and simulating complex systems. Contributions may focus on algorithm development, numerical methods, and case studies across various scientific fields.

This track addresses the application of statistical methods in biological research and public health. Papers may cover topics such as experimental design, statistical modeling, and the interpretation of biological data.

This session focuses on mathematical models that address environmental challenges and sustainability issues. Participants are invited to present research on ecological modeling, resource management, and climate change impacts.

This track explores the application of mathematical modeling in engineering disciplines. Topics may include structural analysis, fluid dynamics, and optimization techniques in engineering design.

This session invites contributions that utilize quantitative methods to analyze biological systems. Emphasis will be on modeling interactions within ecosystems, disease dynamics, and genetic studies.

This track focuses on the mathematical modeling of infectious diseases and public health dynamics. Papers may address model formulation, parameter estimation, and the evaluation of intervention strategies.

This session highlights the application of mathematical theories and methods to solve practical problems across various sectors. Contributions may include case studies and interdisciplinary approaches.

This track emphasizes the integration of mathematical modeling in systems biology to understand complex biological processes. Participants are encouraged to present novel frameworks and their implications for biological research.