Shahid Shaikh 304

My project investigated NiO’s electronic properties and band-gap prediction using DFT+U alongside classical and quantum machine-learning methods.

I’m interested in applying computational physics, density functional theory, and semi-empirical tight-binding models to study topological materials and emergent quantum phenomena. I’m eager to contribute to work in quantum information science, energy-efficient electronics, machine learning, or artificial intelligence.