13 graduate students of NSU have been awarded Presidential scholarships

The winners of the third competitive selection for the appointment of Presidential scholarships of the Russian Federation for graduate students and adjuncts were determined last week. This list was approved by the Ministry of Science and Higher Education of the Russian Federation. The recipients of the Presidential scholarships were 800 young scientists from all over the country, which is 60% more than last year. In addition, this year, more than 6 thousand applications were submitted for the competition for the Presidential award from 79 subjects of Russia, which is 30% more than the previous year.

This year, scholarships were awarded to 13 graduate students of Novosibirsk State University: four from the Faculty of Natural Sciences and the Faculty of Physics, two from the Faculty of Geological-Geophysical and Mechanics-Mathematics, and one from the Institute of Medicine and Medical Technologies.

Each of them will receive a monthly scholarship in the amount of 75 thousand rubles. It is assigned for a period from 1 year to 4 years.

The Ministry of Science and Higher Education of the Russian Federation notes that interest in the competition for the Presidential Scholarships of the Russian Federation among young scientists is constantly growing, as a result, the level of projects and competition are increasing. More than a third of the applications from candidates for scholarships are devoted to advanced technologies of designing and creating high-tech products based on the application of artificial intelligence, robotics, new materials, and results of processing large volumes of data.Many winners of this competition have already achieved significant scientific results: they have publications in leading scientific journals, are authors of their own developments or participate in large-scale projects, engage in applied research that is in demand by the economy and industry.

Scholarships for graduate students and adjuncts conducting scientific research within the framework of implementing the priorities of the country’s scientific and technological development received:

Physical Faculty:

Ilya Gertsel(1 course) — “Regularities of the formation of interphase boundaries in titanium matrix composites under conditions of non-stationary laser exposure”, scientific supervisor — Doctor of Technical Sciences.Alexander Gennadyevich Malikov;

Mikhail Kolokolov(2nd course) — “Development and application of methods of pulse ESR spectroscopy for biological complexes with high structural variability”, scientific advisor — Doctor of Physical and Mathematical Sciences.Olesya Anatolyevna Krumkacheva;

Viktoriya LomakinaB (3rd year) — «Development of semiconductor materials based on titanium dioxide, tungsten oxide, and graphite-like carbon nitride for photoelectrochemical applications», scientific supervisor — Doctor of Sciences.Ekaterina Alexandrovna Kozlova;

Dmitry Sorokin(3rd year) — “Graphene for sensor and photonic applications”, scientific supervisor — Doctor of Physical and Mathematical Sciences.Dmitry Vladimirovich Smovzh.

Faculty of Natural Sciences:

Irina Bachkova(1 course) — “Influence of chemical modifications on the biological properties of small interfering RNA (siRNA)”, scientific supervisor – Doctor of Biological Sciences.Elena Leonidovna Chernolovskaya;

Tatyana Savostyanova(3rd course) — “Development of technology for obtaining and evaluating the antitumor potential of CD8+ T-lymphocytes with genetically modified TCRs, specific to epitopes of mutant p53, as a prototype of cellular products for personalized immunotherapy of oncological diseases”, scientific supervisor – Doctor of Medical Sciences.Sergey Vitalyevich Sennikov;

Ivan Stebnitsky(1 course) — “Study of the regularities of physicochemical properties of organic ion plastic crystals and solid electrolytes based on them”, scientific supervisor — Doctor of Chemical Sciences.Yuliya Grigoryevna Mateyshina;

Dmitry Syrtsov(1 course) — “Study of adsorption of isotopologues and spin isomers of molecular hydrogen on the surface of metal-organic coordination polymers”, scientific supervisor — Doctor of Chemical Sciences.Artem Sergeyevich Poryvaev.

Geological and Geophysical Faculty:

Stepan Denisov(1 course) — “Hypergene alterations of ore extraction and beneficiation for rhizotile-asbestos Bazhenovskoye deposits and contribution to carbon sequestration,” scientific supervisor – PhD in Chemical Sciences.Georgy Ivanovich Lazorenko;

Vladislav Korchuganov(1 course) — “Use of a priori structural information for stabilizing amplitude seismic inversion”, scientific supervisor – Ph.D.Anton Albertovich Duchkov.

Mechanical and Mathematical Faculty:

Yana Fedotova(4th year) — “Personalized prediction of clinical complications in aortic aneurysm based on computational hydrodynamics methods and machine analysis of medical images”, scientific supervisor — PhD in Clinical MedicineDaniil Vasilyevich Parshin;

Evgeny Shevelev(1 course) — “Economic algorithms for digital compensation of nonlinear distortions in optical communication channels based on frequency decomposition of the signal and neural network methods,” scientific supervisor — PhD in Physics and Mathematics.Aleksey Aleksandrovich Redyuk.

Institute of Medicine and Medical Technologies:

Aleksey Kalinovsky(1 course) — “Haemodynamic characteristics of the left atrium and left atrial appendage by CT and MRI methods in patients with atrial fibrillation in the assessment of the risk of cardioembolic stroke”, scientific supervisor — Doctor of Medical Sciences.Andrey Alexandrovich Tulupov.

Winners of the competition for the appointment of the President of the Russian Federation’s scholarship for postgraduate students spoke about their research projects.

Stepan Denisov:

The topic of my dissertation is “Hypergene changes in the process of extraction and enrichment of ores containing chrysotile-asbestos from the Bazhenovskoye deposit and their contribution to carbon deposition.”

My research is dedicated to assessing the potential of extraction and enrichment residues of chrysotile asbestos for binding carbon dioxide gas (CO2) through natural and accelerated carbonatization. The relevance of the work is linked to the necessity of reducing greenhouse gas emissions and achieving carbon neutrality by 2030, according to the Decree of the President of the Russian Federation.

The novelty of my work lies in the fact that for the first time for Russian deposits (Bazhenov and Ak-Dovurak), a comprehensive assessment of the mineral and chemical composition of salts was performed, as well as experimental studies on carbonatization with different material fractions under conditions close to natural. It has been established that fine-dispersed particles (less than 0.1 mm) at 50–100% moisture absorb CO2 most efficiently, and at the Ak-Dovurak deposit, over 30 years of hypergene weathering, dense carbonate crusts up to 30 cm thick were formed from hydromagnesite and pyroaurite.

The practical applicability of the results of this study lies in justifying the use of technogenic waste from chrysotile asbestos as raw material for technologies of accelerated weathering and long-term geochemical binding of CO2, which can contribute to reducing anthropogenic pressure on the climate.

Vladislav Korchuganov:

My research “Using a priori structural information for stabilizing amplitude seismic inversion” is dedicated to obtaining more accurate representations of subsurface structures based on seismic exploration data and using them to solve practical problems in oil and gas geology.

In my work, I develop codes for seismic inversion — the transformation of seismic data into characteristics of rocks understandable to geologists, which help assess the structure of layers and their prospects for oil and gas.

More accurate geological models allow reducing risks during well drilling, refining the forecast of reservoir properties, and more effectively planning the development of fields.

The novelty of the work lies in the fact that when processing the data, not only the local features of the seismic signal are taken into account, but also the geological structure: the connectivity of layers, the position of boundaries, and changes in the environment in space.

The algorithms we are developing are implemented as a software module for advanced interpretation of LithoQB seismic data and are tested on materials from various sites in Western and Eastern Siberia, as well as the Volga-Ural oil and gas-bearing province. The work is carried out and validated in collaboration with industrial partners, including Gazpromneft-NTC. This approach allows checking methods with real data from different geological conditions and adapting them for practical use in the interpretation of seismic and well information.

Yana Fedotova:

The topic of my dissertation is “Personalized prediction of clinical complications in aortic aneurysm based on computational hydrodynamics and machine analysis of medical images.”

An aortic aneurysm is a pathological dilation of its lumen by more than 50% compared to the normal diameter. The high mortality rate (up to 80 thousand cases per year in the Russian Federation) is due to both the natural course of the disease and possible complications during surgical intervention. Despite the development of endovascular treatment methods, including endoprosthetics, the frequency of adverse outcomes in this type of intervention remains high (11–20%).

There is a necessity to develop tools for predicting clinical complications and optimal planning of surgical interventions.This study is aimed at the development of mathematical models for predicting adverse clinical outcomes in aortic aneurysms using computational hydrodynamics, machine learning, and medical image analysis. The goal of my research is to develop a personalized multiphysics mathematical model for predicting the growth and rupture risk of aortic aneurysms based on the integration of morphological, hemodynamic, and biomechanical parameters obtained from medical images (CT/MRI).It is expected that the results of the work will make it possible to improve the accuracy of preoperative planning, reduce the risk of complications and the frequency of lethal outcomes.

Evgeny Shevelev:

My dissertation research is dedicated to the development of economical algorithms for digital compensation of nonlinear distortions in high-speed fiber-optic communication systems, which is especially relevant under conditions of exponential traffic growth and limited spectral resources.

In modern DWDM networks, it is precisely the nonlinear Kerr effects that become the main limiting factor for transmission distance and quality, and existing compensation methods require high computational costs, which hinders their commercial implementation. The scientific novelty of this work lies in a fundamentally new approach that combines frequency decomposition of a broadband signal, compensation of chromatic dispersion using optimized filters with a finite impulse response, and deep learning for effective suppression of both intrachannel and interchannel distortions.

The practical significance of the research lies in the possibility of direct integration of the developed algorithms into commercial telecommunications equipment, where they provide a substantial reduction in computational load and energy consumption while maintaining high accuracy of compensation. As a result, communication operators will be able to increase the bandwidth capacity of existing optical lines without costly replacement of physical infrastructure, which directly addresses the strategic tasks of digitizing the telecommunications industry.

Aleksey Kalinovsky:

The topic of my candidate dissertation is “Quantitative hemodynamic characteristics of the left atrium and left atrial appendage according to 4Dflow MRI data in patients with atrial fibrillation in the assessment of cardioembolic stroke risk.”

Stroke ranks second in the mortality structure and is the third most frequent cause of disability worldwide. A significant factor in the development of cardioembolic ischemic stroke is the presence of atrial fibrillation in the patient — an uncoordinated and irregular contraction of the atria. As a result, blood flow in the left atrium is disturbed, leading to the formation of thrombi with a risk of detachment and embolism in the cerebral vessels, which causes a stroke. More than 90% of thrombi are formed specifically in the left atrial appendage.

Our main task is to identify the velocity and visual physiological characteristics of blood flow in the left atrium based on 4Dflow MRI data, changes in which could potentially predict stroke in patients with atrial fibrillation.

It is also planned to develop a new stroke risk scale that takes into account not only clinical factors (gender, age, presence of comorbidities) but also precise quantitative MRI blood flow parameters. This will allow assessing stroke risk individually for each patient and selecting treatment tactics. In addition, a novel element will be the adaptation of the post-processing software code for 4Dflow series obtained on the Philips 3T Ingenia scanner, which will expand the clinical application possibilities of the methodology.

About the research project of the competition winners among the graduate students of the Faculty of Physics and the Faculty of Natural Sciences, we will tell in the following publication.