Shuvalov Award for Young Researchers

Established in 1993 it is granted to younger faculty members for the scholarly potential they demonstrated. The young researchers must have completed their PhD and their monographs, books or a doctorate thesis may serve ground for the award.

 

Laureates of Shuvalov Award for Young Researchers' (2017)

First-Order Prize:

Denis Ilyutko
(Faculty of Mechanics and Mathematics)

Igor Nikonov
(Faculty of Mechanics and Mathematics)
For the cycle of works «Diagrammatic Approach in the Theory of Forks and Its Applications to the Theory of Graphs». It deals with one of the most promising and quickly developing branch of mathematics: theory of forks and ways of its applications. The main goal of the fork theory was to classify forks and to provide an updated definition of the phenomenon
Second-Order Prize:

Aleksey Oreshko
(Faculty of Physics)

The doctoral thesis «Anisotropic Effects in Resonance Diffraction of Synchrotron Emission» by A.Oreshko studies new effects that appear by resonant diffraction interaction between X-ray wavelength bands and crystals. The discoveries can be applied in studying electronic and phononic properties of materials.
Today X-ray diffraction is one of the most effective methods to study the structures and characteristics of condensed media. Major advance in this field resulted into a profound research of new X-ray resonant investigative techniques, which have the advantage over the traditional methods due to their selectiveness, i. e. the ability to investigate the particular atoms, those in the ‘resonance’ with impinging radiation, and due to their ability for short-range ordering in crystals.

Maria Khrenova
(Faculty of Chemistry)

The doctoral thesis «Interpreting and Forecasting Characteristics of Protein Systems Using Supercomputer Molecular Modeling» focuses on interpreting experimental data and forecasting the emergence of new systems with the required characteristics. The research is promising and is of great practical importance for biomedicine and biotechnology. The obtained results allow to interpret the already established experimental data in the field as well as to create new systems with the required set of properties.
In the course of this research several state-of-the-art techniques were applied, including the methods of quantum chemistry, combined methods of quantum mechanics and molecular mechanics, and methods of molecular dynamics. It has been revealed that thorough studies of the system using molecular modeling creates an opportunity for the following rational creating of the system with the required characteristics.
The study scrutinizes a wide range of objects and develops both models and valid methods of supercomputer molecular modeling for interpreting experimental data and forecasting certain characteristics of protein systems to secure the accuracy that is required for tests by experiment.

Laureates of Shuvalov Award for Young Researchers' (2016)

First-Order Prize:
Second-Order Prize:
Oleg Shestakov 
(Faculty of Computational Mathematics and Cybernetics)
 
for a doctorate thesis “Probabilistic and statistical methods of analysing and processing the signals in inverting the integral Rodon-type transformations”
Dmitry Shustov 
(Faculty of Law) 
 
for a series of publications “Theory of constitutional law and comparative constitutional law”
 
 

Sci-spots

In 2015 Shuvalov Award for Young Researchers was given to Olga Filatova for her doctoral thesis “Evolution of killer whales’ dialects in the North Pacific”. 

Human beings and killer whales turned out to have a very interesting phenomenon in common: dialects. The killer news: these black and white sea creatures are able to communicate with each other and, moreover, they could recognize which region or lineage their interlocutor comes from! 
Killer whales possess culturally transmitted dialects. This means they learn ‘a language’ (vocalizations) through ‘talking’ to each other. 
The investigation revealed that neither phylogeny of dialects nor similarity of syllables correlated to associations between matrilineal units, but similarity of syllables appeared to correlate to phylogeny of dialects for four of the six syllables analysed. In other words, the complexity and fluidity of social ties between matrilineal units and the variation in cultural transmission patterns produce a complex relationship between the social network and the socially transmitted dialects.
 

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