Nadezhda N. Kiselyova
A.A.Baikov Institute of Metallurgy and Materials Science of Russian Academy of Sciences (IMET RAS)
Abstract: Despite the successes of quantum mechanical methods, the problem of calculation of not yet obtained inorganic compounds, especially multicomponent substances in the solid phase, still remains largely unsolved. One of the ways to solve this problem is associated with the analysis of big data arrays accumulated by inorganic chemistry in order to find regularities that relate the properties of the known compounds with the properties of the chemical elements.
Head of Laboratory of Semiconducting Materials of the A.A.Baikov Institute of Metallurgy and Materials Science of Russian Academy of Sciences (IMET). She has PhD degree in inorganic chemistry and degree of Doctor of Chemical Sciences in the solid state chemistry.
Kiselyova has graduated from the Chemical Department of M.V. Lomonosov Moscow State University in 1971. After post-graduate studentship at Moscow University, she worked in the Research&Development Institute of Materials Science of Zelenograd Scientific Centre (Moscow) in 1974-1976. Since 1976, she has been working in IMET. She is the author of more than 150 scientific articles and 2 monographs. As a visiting professor, she delivered lections on the inorganic materials computer-assisted design in the University of Shanghai (2002) and in the University of Tokyo (2006).
Kiselyova was a member of Program Committees of International Conferences “Knowledge - Dialogue – Solution”, International Conferences "Data Analytics and Management in Data Intensive Domains, DAMDID/RCDL", RUSSIAN CONFERENCE (WITH INTERNATIONAL PARTICIPATION) ON THERMOPHYSICAL PROPERTIES OF SUBSTANCES, etc., and organizing committees of International Conferences “Functional Nanomaterials and High-Purity Substances”, etc. She is a member of Asian Materials Data Committee (AMDC).
Fields of scientific interests: databases on the properties of inorganic substances and materials, application of machine learning methods to computer-assisted design of new inorganic materials, big data analytics, Internet-technologies.