Group in Computational Science and HPC (GICS-HPC) focuses on advancing both the physics understanding and computational methodologies in plasma science. We develop Computational and Machine Learning based Gaseous Ionized Computational Simulator (GICS) frameworks and data-driven models for critical problems in Plasma Science and Engineering. Our work integrates novel numerical algorithms, high-performance and scalable implementations, and dataset generation to enable accurate, efficient, and physically insightful plasma simulations.