Asif Iqbal

My research focuses on theoretical and computational plasma science. I develop and apply first-principles fluid and kinetic modeling frameworks, augmented by data-driven approaches and physics-informed artificial intelligence.

Computational physics has long provided a rigorous foundation for understanding complex physical systems, from first-principles models to modern multiphysics simulations. As AI becomes increasingly influential across science and engineering, I am interested in how data-driven methods can extend the speed, robustness, and scalability of computational modeling without compromising physical interpretability.

My goal is to help advance plasma physics and computational modeling into the AI age while keeping that progress grounded in first-principles physics, scientific rigor, and interpretability. In that effort, I hope to contribute to the development of more reliable computational tools for accelerator, high-power microwave, and fusion-relevant plasma applications.