|
Research
Teaching
Lecture Notes
Others
edit SideBar
|
Posgraduate Students:
- Alfredo Jaramillo Palma - Posdoctorate (2019-2020)
HPC implementation of Multiscale methods for subsurface flows
- Rafael Trevisantuo Guiraldello - Ph.D (2015-2019)
Multiscale methods for subsurface flows
- Mateus Paranaiba Ribeiro - M.Sc. (2017-2020)
Numerical modeling of thermal fluctuations in biological cells
- Paula Jaíne Alves da Silva - M.Sc. (2020-2024)
Q-Learning strategies for swimmers in microfluidic applications
- Maria Victoria Paulino de Souza - M.Sc. (2020-2023)
Multiscale Methods for Porous Media Flow in FEniCS
- Breno Kenji Ogata Bianchi - M.Sc. (2023-2026)
Control Strategies for Microswimmers
- Pedro Balbão Bazon - Ph.D (2024-present)
Finite Element formulations for Data Driven Computational Mechanics
- Paula Jaíne Alves da Silva - Ph.D. (2024-Present)
Swimming at Low Reynolds Numbers in Complex Fluids
- Welton Costa Lavercio - Ph.D. (2025-Present)
Finite Element Methods for non-Newtonian flows in Microfluidics
- Camila Lages - Posdoctorate (2024-2025)
Algebraic Multiscale Preconditioners for flow in Porous media
- Thiago Queiroz - Master (2025-Present)
Applications of Data-Driven Computational Mechanics
Undergrad Students:
- Cassiano Hildebrand (2019-2021) - PICME
Fluid Mechanics, Finite elements & Inverse problems with PDE constraints
- Breno Kenji Ogata Bianchi (2022)
Nutrient intake of Kirchhoff microswimmers
- Arthur de Carvalho Abelha (2022-2023) - PIBIC
Optimization of truss structures with Additive Manufacturing Constraints
- Vinicius da Mata e Mota (2022-2024) - PICME
Physics Informed Neural Networks (PINNS) in Fluid Mechanics
- Francisco Rafael Argueta Pérez & Gabriel Maia Brito (2024)
Efficient implementation of python codes in GPUs (Informal advisoring)
- Francisco Rafael Argueta Pérez (2025-Present) - PIBIC
Data-Driven Computational Mechanics for hydraulic Networks
|
