Dimitrios Kaltsas, 

Assistant Professor, Department of Physics, University of Ioannina

My research focuses on the equilibrium, stability, and dynamics of laboratory and astrophysical plasmas, using Hamiltonian methods, fluid, kinetic, and hybrid models, and modern machine learning techniques.

I am particularly interested in developing Hamiltonian formulations of new hybrid fluid–kinetic models that preserve fundamental conservation laws. These models have applications to magnetic confinement in fusion devices such as tokamaks and to astrophysical plasma phenomena such as magnetic reconnection.

My recent work also emphasizes the development of computational methods that preserve conservation laws and the use of physics-informed machine learning (PIML) to solve differential equations arising in plasma physics and related systems.