This track focuses on the application of mathematical modeling and computational techniques in engineering disciplines. Topics include numerical analysis, differential equations, and optimization methods for engineering problems.

This session explores the role of statistical methodologies in technical and economic sciences. Contributions may include case studies, theoretical advancements, and applications of statistical techniques in various industries.

This track emphasizes mathematical approaches to modeling phenomena in physics and chemistry. Participants are encouraged to present research on topics such as nonlinear dynamics, fluid mechanics, and thermodynamics.

This session highlights the use of computational methods in the study of materials science. Topics may include multiscale modeling, simulation techniques, and the analysis of adaptive materials.

This track addresses the intersection of physics and biology, focusing on biophysical principles and their applications. Research on biomaterials, imaging techniques, and biological systems modeling is particularly welcome.

This session is dedicated to the latest advancements in numerical methods and their applications across various scientific fields. Topics may include error estimation, approximation methods, and computational efficiency.

This track explores the application of mathematical techniques in finance and actuarial science. Contributions may include risk assessment models, financial forecasting, and statistical analysis of economic data.

This session focuses on the mathematical modeling and simulation of biological processes. Topics may include population dynamics, disease spread, and biochemical reactions.

This track highlights innovative computational approaches in the field of physics. Research on topics such as condensed matter physics, radiation physics, and computational fluid dynamics is encouraged.

This session invites contributions that address nonlinear problems across various scientific disciplines. Participants are encouraged to explore solutions and methodologies that bridge mathematics, physics, and engineering.

This track examines the applications of fuzzy mathematics in real-world problems. Topics may include fuzzy logic systems, decision-making processes, and their implications in engineering and science.