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Topics
The conference will cover a broad spectrum of mathematical and applied research areas, reflecting the diversity and richness of contemporary developments. Topics include Partial Differential Equations (PDEs), Stochastic Partial Differential Equations (SPDEs) and Ordinary Differential Equations (ODEs), with their wide-ranging applications in modeling complex systems; Statistics and its Applications in data interpretation and decision-making; as well as Numerical Analysis and Scientific Computing for the efficient resolution of mathematical problems. The program also highlights advances in Optimal control, Optimization and Operations Research, essential for improving systems and resource allocation, and the growing field of Biomathematics and Biostatistics, which supports progress in life sciences. Moreover, the rise of Data Science is acknowledged for its impact on knowledge discovery, while Probability and Stochastic Analysis play a foundational role in understanding randomness and uncertainty across disciplines. Mathematical Modeling, in particular, serves as a bridge between theory and real-world problems, providing a structured framework to represent, analyze, and predict complex phenomena.
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