Dr. Ghiyas Anwar

Basic Information

Brief Statement of research work

Cloud-Based Machine Learning/AI with Python | Theoretical Materials Science | Condensed Matter Physics. My research is primarily based on first-principles density functional theory (DFT) calculations for investigating the physical properties of functional materials. I focus on the structural, electronic, and optical properties of materials for photocatalytic and energy-harvesting applications, with particular emphasis on double perovskites. My research experience also includes work associated with the SDAIA-KFUPM Joint Research Center for Artificial Intelligence (JRC-AI) at King Fahd University of Petroleum & Minerals (KFUPM), Kingdom of Saudi Arabia (KSA). Building on my DFT-based materials research, I am now linking first-principles calculations with machine learning approaches to develop predictive frameworks for the accelerated discovery of double perovskite materials.