معرفی
Shiqiang Huang is a Research Assistant Professor in the Department of Geology and Geological Engineering at the Colorado School of Mines. His research focuses on economic geology, particularly the application of advanced analytical techniques like LA-ICP-MS and machine learning to study mineral deposits, ore-forming systems, and geological processes. He specializes in magma fertility, cassiterite geochemistry, and isotopic dating methods such as Rb-Sr and Re-Os systems.
Key research themes include:
- Multi-scale analytical approaches for ore exploration
- Hydrothermal and sedimentary processes in metallogenesis
- Chronological analysis of mineral deposits using in situ dating techniques
His work bridges field geology with cutting-edge laboratory methods, contributing to understanding the formation of world-class deposits like the Jinding Zn-Pb and Maocaoping Cu deposits in China. Recent projects emphasize nano-mineral chemistry analysis and the influence of organic matter on isotopic dating.
Notable publications (2021–2025) highlight advancements in LA-ICP-MS/MS applications, machine learning for mineral discrimination, and geochronology of porphyry-skarn systems. His 2023 IAG Early Career Researcher Award Lecture reflects recognition of his innovative contributions to isotope geochemistry.
