Dr. Muhammad Idrees is a postdoctoral researcher at Harbin Institute of Technology, Shenzhen, China, working in the field of computational modeling of advanced energy systems. His research focuses on plasmonic nanofluids, light-matter interactions, and radiative heat transfer for solar-thermal energy conversion. He employs numerical methods such as the multiple-sphere T-matrix method (MSTM) and data-driven techniques, including artificial neural networks (ANNs), to investigate optical and thermal performance. His work particularly addresses the effects of nanoparticle morphology, clustering, and electromagnetic coupling on absorption and scattering mechanisms in complex nanofluid systems. His broader interests include renewable energy systems, heat transfer, computational physics, and machine learning applications in engineering.