Alexey Gvishiani – Academician of the Russian Academy of Sciences, Professor, Doctor of Physical and Mathematical Sciences, majoring in geophysics. A well-known scientist in the field of mathematical geophysics, geomagnetism, geoinformatics and systems analysis, the author of about 450 scientific works, including 16 monographs and 20 certificates of authorship. The main scientific results of A. D. Gvishiani: the theory of stability of dynamic classifications for limiting geological and geophysical problems, system methods for clustering and recognizing anomalous areas in time series of observations, a discrete mathematical approach to assessing magnetic activity, a family of voting algorithms based on a set of features and their application for recognition of places of possible occurrence of strong, significant and severe earthquakes, which made it possible to determine in advance the locations of several destructive earthquakes in our country and abroad. He initiated the revival and active development of the Russian segment of INTERMAGNET observatories in Russia and neighboring CIS countries. Fundamental results on the geophysics and seismic hazard of the Arctic were obtained using methods of system analysis of magnetic, lithospheric and seismological data. A method for regional system merging of earthquake catalogs has been created to construct a single optimal catalog unified by magnitude. Using this method, original integral catalogs of earthquakes in the Russian Arctic were constructed. Leading author of a series of electronic atlases of the Earth’s magnetic field and climate data of the Russian Arctic.
Research interests: mathematical geophysics, seismic hazard assessment, geoinformatics and system analysis of geophysical data, Big data in geosciences.
Session
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Systems Analysis and Big Data
The data obtained during research on our planet is of great value to the scientific community. Their preservation, processing and analytics are a top priority. Data volumes in geosciences for the most part already meet the definition of Big Data. This opens up enormous opportunities for their system analysis. The scientific session is devoted to the collection, storage, analysis of data, as well as the underlying mathematical apparatus.