
-
Highlight new challenges in applied mathematics arising from technological and societal transformations.
-
Promote advances in mathematical modeling and simulation of complex physical, biological, and environmental systems.
-
Showcase recent developments in inverse problems, parameter identification, and data assimilation.
-
Explore the interplay between mathematics and artificial intelligence (AI), including machine learning and deep learning.
-
Strengthen research at the interface of PDEs, numerical analysis, and data-driven methods.
-
Encourage mathematical approaches for image processing, signal analysis, and scientific computing.
-
Foster interdisciplinary research in networks, graphs, and complex systems.
-
Support innovative mathematical tools for climate modeling, epidemiology, and sustainability.
-
Create a dynamic forum for interaction between theory, computation, and real-world applications.
- Empower young researchers to contribute to the future directions of modern applied mathematics.




































