Alberto F. Martín

Alberto F. Martín is a Senior Lecturer in the School of Computing at The Australian National University. His research focuses on High Performance Scientific Computing, particularly in the design of advanced finite element discretizations and scalable solution methods for Partial Differential Equations. He specializes in hybridizable finite element methods for general polytopal meshes, scalable preconditioning, and the integration of Artificial Neural Networks with numerical solutions of PDEs. His work includes Scientific Machine Learning approaches for large-scale inverse problems and physics-informed neural networks applied to bushfire dynamics. Martín is also involved in the development of open-source scientific software for PDEs on supercomputers.

Alberto F. Martín is a Senior Lecturer at The Australian National University (ANU) with expertise in scientific computing, high-performance computing (HPC), machine learning, finite elements, and partial differential equations (PDEs). His research focuses on developing scalable parallel finite element frameworks for complex problems, including applications in metal additive manufacturing and high-temperature superconductors. He has contributed to the design of unfitted finite element methods, domain decomposition techniques, and parallel implementations for solving large-scale scientific problems. His work emphasizes the integration of numerical methods with computational tools for efficient and accurate simulations.