Vinícius Bastos Marcos

I hold a Bachelor's degree in Computational Physics from the São Carlos Institute of Physics (IFSC-USP), where I conducted research on electromagnetic simulations using the Finite-Difference Time-Domain (FDTD) method to investigate the optical properties of plasmonic structures, supported by a FAPESP scholarship.Currently, I am pursuing a Masters degree in Basic and Applied Physics at IFSC-USP, focusing on the investigation of matter structures and metasurfaces by integrating numerical modeling with artificial intelligence techniques particularly deep neural networks (DNNs) and Physics-Informed Neural Networks (PINNs). My goal is to apply machine learning to the inverse design of nanophotonic devices, exploring phenomena such as strong light-matter coupling, polariton formation, and optical interactions in two-dimensional (2D) materials.My academic interests include computational physics, plasmonics, nanophotonics, and quantum optics, with an emphasis on the use of computational methods and machine learning techniques. I aim to contribute to the development of emerging optical technologies and to strengthen the interface between machine learning and fundamental physics. (Source: Lattes Curriculum)