Sajads Master's thesis focused on "Computational Screening of Double Perovskites for Photocatalytic Water Splitting" under the supervision of Dr. S. Shahab Naghavi.

Sajad has interest and expertise in ab-initio techniques including DFT and hybrid methods, and the electronic structure of semiconductors. In addition, he is keen on many-body perturbation theory and wave function-based correlated methods.

His current project focuses on implementing the auxiliary field quantum Monte Carlo (AF-QMC) method for Fermions to predict materials properties, particularly for solids. This method offers low memory requirements and can reuse expertise in DFT, making it especially attractive for accurately determining the exact wave function and energy of multi-electron systems, specifically strongly correlated systems.