Faxriddin Safarov is a physics teacher currently based at the Denau Institute of Entrepreneurship and Pedagogy (DTPI). He obtained his Bachelor's (2017) and Master's (2020) degrees in Physics from the National University of Uzbekistan. Specializing in Computational Material Science, Faxriddin’s research focuses on the application of Molecular Dynamics (MD), Density Functional Theory (DFT), and Machine Learning Force Fields (MLFF). He is currently conducting PhD research titled "Investigation of the Nucleation Mechanisms of Carbon Nanostructures Using Medium-Entropy Alloy-Based Catalysts." His technical expertise includes working with advanced computational packages such as Quantum ESPRESSO, ABACUS, DeepMD-kit, Mace and LAMMPS, alongside programming skills in Fortran and Python.