Labushev Mikhail Mikhailovich

Labushev Mikhail Mikhailovich serves as an Associate Professor and Head of the correspondence department at the Department of Geology of Deposits and Exploration Methods, School of Mining, Geology and Geotechnology, Siberian Federal University. With 37 years of specialized service and a Candidate of Geological and Mineralogical Sciences degree (1993), he teaches core disciplines including Geology of Mineral Deposits and Mathematical Methods of Modeling in Geology.

His educational background includes:

• Mining Engineer-Geologist specializing in Geological Survey, Prospecting and Exploration of Deposits from Krasnoyarsk Institute of Non-Ferrous Metals (1980)
• Candidate of Geological and Mineralogical Sciences (1993)
• Advanced training in Cloud Technologies for Educational and Scientific Activities (SFU, 2017)

Labushev's research centers on mathematical modeling of equal and unequal masses across physics, chemistry, geology and ecology using information theory equations and numerical proportionality indices. His pioneering work focuses on establishing the scientific foundation for the Declaration of the Periodic System of Chemical Compounds, bridging geological modeling with theoretical chemistry. This integrates mineral classification, earth systems analysis, and computational methods to solve fundamental problems in substance classification.

His recent publications demonstrate consistent application of mathematical frameworks to geological challenges, particularly in mineral/rock classification systems and ore body modeling. These works reveal strong interdisciplinary connections between geological survey techniques, environmental mass balance studies, and computational chemistry, with increasing emphasis on data transformation methodologies for geological modeling.

No scientific awards were documented in the source material.

While no formal advisees are listed, Labushev leads the correspondence department and drives the Declaration of the Periodic System of Chemical Compounds project. His advanced training in cloud technologies indicates active integration of modern computational approaches into geological research and education. The department's focus on exploration methods and deposit geology provides the operational framework for his research activities.