Navigate Current Projects
1. KANTEQ
A neural network framework for fast and accurate equilibrium estimation in tokamak reactors.
2. Quasineutrality at kinetic scales
The missing kinetic picture of quasineutral plasmas
3. PHIMICON
A novel Physics-informed machine learning framework for plasma confinement
4. Hamiltonian description of kinetic, fluid-kinetic and generalized MHD models
5. Kinetic and hybrid-kinetic equilibria
6. Artificial neural networks for PDEs
7. Plasma equilibria in fusion reactors
Research Interests
My research focuses on the equilibrium, stability, and dynamics of laboratory and astrophysical plasmas, using Hamiltonian fluid dynamics, kinetic and hybrid models, as well as modern machine learning approaches. I am particularly interested in the Hamiltonian formulation of novel hybrid fluid-kinetic models that preserve fundamental conservation laws. These models have applications in the study of magnetic confinement in fusion devices such as tokamaks, as well as in astrophysical plasma phenomena like magnetic reconnection.
I also explore computational methods that inherently respect conservation laws, along with deep learning techniques, especially equation-driven machine learning and physics-informed neural networks (PINNs), to address the complex differential equations that arise in plasma physics.
Research Areas
Plasma Physics
Plasma Kinetic and Fluid Theory
Hamiltonian Dynamics
Partial Differential Equations
Numerical Methods for PDEs
Equation-driven Machine Learning
Physics-Informed Neural Networks
Contributions
Equilibrium and stability analysis of generalized MHD models via Hamiltonian variational principles.
Development of analytic and numerical solutions to generalized Grad–Shafranov equations.
Construction of novel hybrid Vlasov dynamical and equilibrium models.
Applications of physics-informed neural networks to plasma models.
Further Information
More details about my work, including publications, conference presentations, and my Ph.D. thesis, are available on the following pages: Publications, Conferences, Ph.D. thesis
You can also explore my research on my Research Gate and Google Scholar profiles.