Practical Info

Objective

To provide a comprehensive forum for presenting and discussing recent advances in domain decomposition methods, numerical analysis, and high-performance scientific computing, fostering collaboration among researchers, strengthening the international community, and promoting the development of innovative computational techniques for solving large-scale mathematical and engineering problems.

1. To present cutting-edge research in domain decomposition methods, numerical analysis, and large-scale computational modeling.
2. To strengthen collaborative networks between national and international researchers in applied mathematics and engineering.
3. To promote the exchange of ideas, techniques, and computational tools for solving complex PDE-based problems.
4. To encourage the participation of students and early-career researchers in advanced scientific computing and HPC.
5. To foster university–industry collaboration by showcasing computational methods relevant to sectors such as energy, manufacturing, geosciences, environmental modeling, and engineering design.
6. To create opportunities for industry partners to engage with the academic community, explore joint research initiatives, and learn about state-of-the-art simulation and optimization technologies.
7. To highlight Colombia’s and UNAL’s role as a regional hub for innovation, computational science, and technological transfer.
8. To highlight Colombia’s and UNAL’s growing role in the global scientific-computing community.» .