Sergio Rojas

Senior Lecturer

Monash University Malaysia.

Australia

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Dr. Sergio Rojas is a Senior Lecturer at Monash University in Australia. His research focuses on advanced numerical methods, including finite element methods, physics-informed neural networks, and solver efficiency in computational frameworks. Recent articles authored by Dr. Rojas explore topics such as error estimates in discretizations, predator-prey dynamics, and adaptive methods for enhancing solver performance in parallel computing environments.

Articles (10)

Year:

2025

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2025

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2025

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2024

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2024

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2024

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2023

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2023

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2023

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2022

Collaborators (4)

witold dzwinel

full professor

AGH University of Science and Technology

POLAND

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David Pardo

Professor

Universidad del País Vasco (UPV/EHU)

SPAIN

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Maciej Wozniak

assistant professor

AGH University of Science and Technology

POLAND

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Maciej Paszynski

Professor

AGH University of Science and Technology

POLAND

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Sergio Rojas

Research Interests

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Articles (10)

Minimum-residual a posteriori error estimates for HDG discretizations of the Helmholtz equation

The complexity of a “simple” predator–prey system: non-trophic positive interactions generate unsuspected dynamics and dependencies

Optimizing Variational Physics-Informed Neural Networks Using Least Squares

Complexity of direct and iterative solvers on space–time formulations and time-marching schemes for h-refined grids towards singularities

Robust variational physics-informed neural networks

A study of concurrent multi-frontal solvers for modern massively parallel architectures

Quasi-optimal hp-finite element refinements towards singularities via deep neural network prediction

Adaptive stabilized finite elements via residual minimization onto bubble enrichments

An Adaptive Superconvergent Mixed Finite Element Method Based on Local Residual Minimization

A study of efficient concurrent integration methods of B-Spline basis functions in IGA-FEM

Collaborators (4)

witold dzwinel

David Pardo

Maciej Wozniak

Maciej Paszynski

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