Mathematical modeling and simulation form the backbone of understanding complex systems in both mathematics and physics. This session focuses on developing, analyzing, and applying mathematical models to simulate real-world phenomena, from engineering systems to biological networks. Participants will explore analytical methods, numerical simulations, and computational approaches that provide predictive insights into dynamic systems.
We expect our speakers to present innovative models, advanced simulation techniques, and case studies demonstrating the practical applications of mathematical modeling in diverse fields such as fluid dynamics, epidemiology, and financial systems.
Attendees can gain exposure to the latest computational tools and methodologies, learn to bridge theoretical models with experimental data, and engage in discussions on accuracy, scalability, and validation of models. This session encourages cross-disciplinary collaboration and is ideal for researchers aiming to translate abstract mathematical concepts into actionable predictions.