SPbPU scientists are developing a geoinformation system for the Arctic

Translation. Region: Russian Federal

Source: Peter the Great St. Petersburg Polytechnic University –

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Scientists from the Civil Engineering Institute of Peter the Great St. Petersburg Polytechnic University are conducting research aimed at identifying and systematizing natural and climatic data of the Arctic zone of Russia.

The project is being implemented under the scientific supervision of Yuri Lazarev, professor at the Higher School of Industrial, Civil and Road Construction. The head of the research group is Liliya Talipova, senior lecturer at the Institute of Civil Engineering and Road Construction. Yegor Grebenyuk, engineer at the Higher School of Industrial, Civil and Road Construction, and Evgenia Morozova, assistant, are also working on the project.

At the current stage of research, the team has developed a database that includes geological, climatic, ecological and environmental data of the Arctic region of Russia. In the course of implementing the database, the attributive characteristics, requirements for the structure and storage of data are being clarified. At the moment, a computer program is being developed that allows for automatic updating of the developed database.

The result of the project will be a GIS (geographical information system) platform that designers will be able to use at the initial stages of designing both linear and area objects in permafrost conditions. The planned release date for the platform is March 2026.

The development of the platform allows for the collection and processing of data, modeling of processes, and analysis at the pre-project stage. The developed database made it possible to systematize spatial, geological and geotechnical, climatic, environmental and nature conservation data, noted Liliya Talipova.

Please note: This information is raw content obtained directly from the source of the information. It is an accurate report of what the source claims and does not necessarily reflect the position of MIL-OSI or its clients.

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Indian neurosurgeons successfully tested Polytech's development

Translation. Region: Russian Federal

Source: Peter the Great St. Petersburg Polytechnic University –

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A research team led by SPbPU professor Vladimir Ivanov, in partnership with neurosurgeons from a specialized hospital in Chennai (India), has successfully tested an improved version of a surgical navigation system based on artificial intelligence and augmented reality. The development allows detailed 3D holograms of brain structures integrated with MRI data to be projected onto the surgical field in real time, which increases the accuracy of interventions and reduces intraoperative risks.

Surgical navigation is the gold standard in modern neurosurgery. However, traditional systems have limitations, requiring the surgeon to constantly shift his gaze from the surgical field to a separate monitor. Augmented reality (AR) and artificial intelligence (AI) technologies are designed to solve this problem by integrating virtual 3D models of anatomical structures directly into the surgeon’s field of view.

One of such promising developments is the Medgital Vision software and hardware complex, created by the research group of Professor Vladimir Ivanov from the Higher School of Theoretical Mechanics and Mathematical Physics of SPbPU.

The Medgital Vision system is a complex that combines algorithms of computer vision, machine learning and augmented reality.

3D reconstruction. Based on MRI/CT data, AI algorithms create highly accurate 3D models of the surgical area, in particular, complex brain structures. Holographic projection. The model in the form of an interactive hologram is projected directly onto the surgical field through an AR headset or a specialized display, providing the surgeon with “X-ray” vision. Intraoperative navigation. The system tracks the position of surgical instruments in real time and combines them with a virtual hologram, ensuring the highest navigation accuracy.

The updated version of the system was tested by the leading developer Ildar Mamaev at a specialized hospital. At the request of Indian colleagues, the AI algorithms were modified for even more detailed visualization of specific areas of the brain. The very first operation performed using the updated system confirmed its clinical effectiveness and stable operation in the conditions of a real surgical process.

The success in India continues a series of international adoptions of the technology.

2023 — the first operations using the system were performed in medical centers in Turkey and Belarus. 2024 — the development received top awards at prestigious international competitions HICOOL (China) and ITECH (China). 2025-2026 — it is planned to implement the system in clinics in Mexico and Ecuador, as well as to open a full-fledged representative office in India.

The head of the Committee for Industrial Policy, Innovation and Trade of St. Petersburg, Alexander Sitov, noted: St. Petersburg has enormous potential in creating artificial intelligence technologies. We are among the leaders in the country in the field of AI development. The city helps developers determine the maturity level of their technologies and promote them to international markets, which is clearly demonstrated by the success of the Medgital Vision project.

Professor Vladimir Ivanov emphasized: Entering the international arena is not only a commercial task for us, but also an important stage in validating the technology. Each new implementation in the world's leading clinic provides invaluable data for further improvement of artificial intelligence algorithms and increasing the accuracy of the system.

Successful testing of the Medgital Vision system in India confirms its competitiveness in the global medical equipment market. The development of St. Petersburg scientists makes a significant contribution to the development of digital surgery, allowing to increase safety and reduce the invasiveness of complex neurosurgical operations. Further international expansion and collection of clinical data will contribute to the evolution of the system towards full automation of surgical planning.

Please note: This information is raw content obtained directly from the source of the information. It is an accurate report of what the source claims and does not necessarily reflect the position of MIL-OSI or its clients.

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Protecting the brain from dementia: SPbPU scientists propose a new method of treating Alzheimer's disease

Translation. Region: Russian Federal

Source: Peter the Great St. Petersburg Polytechnic University –

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Researchers from the Institute of Biomedical Systems and Biotechnology of Peter the Great St. Petersburg Polytechnic University (SPbPU) have proposed a new strategy to combat Alzheimer's disease. The results of their work were published in the prestigious international journal The Journal of Neuroscience.

Alzheimer's disease remains one of the most common and devastating neurodegenerative diseases in the world.data According to the World Health Organization, 57 million people worldwide suffer from dementia, with 60–70% of cases suffering from its most common form, Alzheimer's disease. As scientists note, this disease is caused by harmful substances accumulating in the brain: β-amyloid, which forms plaques, and tau protein, which curls into balls. This interferes with the normal functioning of nerve cells, disrupts the connection between them, and gradually leads to deterioration of memory and thinking. Modern therapeutic approaches are mainly associated with attempts to remove these plaques from the brain, but in practice they do not show high efficiency.

SPbPU scientists focused on another fundamental problem accompanying Alzheimer's disease — the imbalance of calcium ions inside neurons. As the authors of the study explain, calcium plays the role of a key signaling element in nerve cells. Normally, its concentration inside the cell is strictly controlled. In Alzheimer's disease, toxic β-amyloid disrupts this regulation, causing a massive and uncontrolled flow of calcium into neurons. Calcium overload leads to cell hyperactivity, disruption of neural connections and, ultimately, to their death, which is manifested by loss of memory and cognitive functions. Instead of blocking calcium channels (an approach that often leads to serious side effects), scientists proposed helping the cell cope with the problem itself. Their attention was drawn to the intracellular SERCA pump, which is responsible for pumping excess calcium into special storage facilities. The hypothesis was that enhancing the work of this pump could protect neurons from calcium stress.

In the first stage, the researchers tested six substances that could potentially activate the SERCA pump. Using cell models with a fluorescent calcium sensor, they identified the most effective compound, NDC-9009. Not only did it normalize calcium levels in neurons better than others, but it also protected them from the damaging effects of β-amyloid, preserving the integrity of dendritic spines, structures that are critical for memory formation. Having confirmed its effectiveness in cell models, the scientists moved on to testing on mice with an Alzheimer's disease model. To monitor brain function in real time, they used cutting-edge technology — miniscopeIt is a miniature microscope that is attached to the head of a freely moving rodent and allows the activity of hundreds of neurons to be recorded simultaneously, for example in the hippocampus, the brain's memory center.

Mice with Alzheimer's disease showed chaotic and excessive neuronal activity. After a course of intraperitoneal administration of NDC-9009, the activity of their neural networks normalized, becoming similar to that of healthy animals. More importantly, this restoration of brain function was accompanied by a clear improvement in memory and learning ability in behavioral tests. The analysis of data obtained from the miniscope was carried out using software we developed earlier NeuroactivityToolkit, — explained Evgeny Gerasimov, a research engineer at the Laboratory of Molecular Neurodegeneration and the Laboratory of Biomedical Image and Data Analysis at SPbPU.

These results indicate that SERCA pump modulators, and NDC-9009 in particular, offer a promising new avenue for the treatment of Alzheimer's disease. This approach targets a fundamental mechanism of cell death, calcium imbalance, and may have a more favorable safety profile than existing therapies.

The work was completed by a team of authors: Evgeny Gerasimov, Anastasia Rakovskaya, Ekaterina Pchitskaya, Olga Vlasova, Dal Russell and Ilya Bezprozvanny within the framework of project No. 075-15-2024-548 in priority areas of scientific and technological development of the Ministry of Science and Higher Education of the Russian Federation.

Please note: This information is raw content obtained directly from the source of the information. It is an accurate report of what the source claims and does not necessarily reflect the position of MIL-OSI or its clients.

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Polytech in Focus. Visit of the St. Petersburg Scientific and Technological Development Team

Translation. Region: Russian Federal

Source: Peter the Great St. Petersburg Polytechnic University –

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The key event in the 2025 schedule of off-site events is the visit of the NTR team to the country's leading technical university, which allowed them to discuss the prospects for the development of engineering science, determine priorities and highlight key challenges in the city's technological development. The event took place in the Kapitsa conference hall of the Technopolis Polytech Research Building. The participants were welcomed by the Vice-Governor of St. Petersburg Vladimir Knyaginin and the First Vice-Rector of SPbPU Vitaly Sergeev.

"The Government of St. Petersburg sees its key role in being a catalyst and a bridge between science and business," Vladimir Knyaginin addressed the meeting participants. "We create conditions for their effective interaction: we form a common technological agenda, support high-tech projects and help bring university developments to the industrial level. Such coordination allows us not only to generate breakthrough ideas, but also to implement them in real production, creating new products and strengthening our technological sovereignty."

The visit of the NTR team to the university confirms the importance and relevance of scientific and technological developments of our scientists. The dialogue in which the Polytechnic University acts as an integration platform is important for effective interaction between academic science, government and the real sector of the economy. We are confident that such synergy is a key factor in strengthening the scientific and technological sovereignty and competitiveness of the region, – emphasized the First Vice-Rector of SPbPU Vitaly Sergeev.

The heads of the university's flagship research departments presented the achievements of scientific and technological development in the field of engineering sciences.

Chief designer for the key scientific and technological development area of SPbPU "System Digital Engineering", director of the Advanced Engineering School of SPbPU "Digital Engineering" Alexey Borovkov presented the ecosystem of technological development of SPbPU, combining scientific, educational and engineering competencies to solve multidisciplinary problems for more than 10 high-tech industries: aircraft and UAV manufacturing, engine manufacturing, nuclear and oil and gas engineering, medical engineering, automotive manufacturing, railway transport, etc.

The digital platform for the development and application of digital twins CML-Bench® is the main tool for conducting breakthrough research, ensuring the capitalization of knowledge and competencies. The CML-Bench® Digital Platform currently presents more than 373 thousand digital and design solutions formed based on the results of work with leading industrial enterprises of Russia, – noted Alexey Borovkov.

Dmitry Bogdanov, Director of the Gazpromneft-Polytech Scientific and Educational Center, highlighted the center's key projects aimed at digitalizing the oil and gas industry and presented the results of developing a software package for the automated selection of optimal drilling targets.

"Our AI algorithm analyzes an array of geological and field data: residual oil-saturated thicknesses, reservoir pressure maps, the position of the flooding front," the speaker said. "This allows us to find promising zones and automatically place well trajectories in them with maximum economic effect, minimizing the routine work of experts."

He also demonstrated the results of mathematical modeling of hydraulic fracturing (HF) using a liquid foamed with gas. He emphasized that the 2D and 3D models developed by the center can significantly increase the sand-bearing capacity of the liquid and, as a result, increase the conductivity of the created cracks, which is critically important for efficient production from low-permeability reservoirs.

The delegation visited the laboratories and production sites of the university, where the director of the Scientific and Educational Center "Mechanical Engineering Technologies and Materials" Pavel Novikov gave a presentation on the main areas of research activities in the field of additive and laser technologies.

In his speech, Pavel Novikov focused on the triad of technological leadership: materials, technologies and production. He spoke about the development and production of new materials, in particular, high-entropy alloys and ceramics for rock-cutting tools, as well as intelligent materials with programmable properties.

The key element of the presentation was the demonstration of the domestic high-temperature layer-by-layer laser synthesis installation “VPLS Mercury”, developed jointly with ZAO Biograd (3DLam).

This installation, with a working area heated to 1300°C and a multi-laser system, allows us to manufacture gas turbine parts from heat-resistant alloys with characteristics superior to foreign analogues, Novikov said.

The guests were shown printed samples of a feather segment and a working blade.

Particular attention was paid to technologies for repair and restoration of critical components of power engineering. Using the example of repairing blades of gas turbine engines (GTE) Man Turbo and Mars100, it was clearly shown how laser cladding allows for the restoration of expensive parts made of alloys such as Mar-M-309, Inconel 792 and Mar-M 247, significantly extending their life cycle and reducing replacement costs.

Promising developments were also presented.

WAAM technology for printing large-sized parts, such as impellers and wheel rims, with high productivity (up to 6 kg/hour for titanium) and significant material savings. Creation of functionally graded and multimaterial parts, such as actuators made of NiTi (nitinol) alloy for the aerospace industry and combustion chambers for liquid rocket engines made of a combination of 316L and FeNi36 steels. Development of smart materials and structures, including antennas with specified properties and optimized cellular structures for medical implants.

"Our developments are not just scientific projects, they are ready-made solutions for industry," Pavel Novikov noted. "We not only create new materials and technologies, but also manufacture our own equipment: centers for direct laser growth and robotic complexes for electric arc growth, which allows us to offer customers a full cycle – from the idea to the finished product."

In conclusion, he noted that the future of additive manufacturing lies in the area of process intelligence using artificial intelligence, hybridization of methods and convergence of materials, which opens up new opportunities for critical industries such as aerospace, energy and medicine.

Please note: This information is raw content obtained directly from the source of the information. It is an accurate report of what the source claims and does not necessarily reflect the position of MIL-OSI or its clients.

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Polytechnic University has developed a universal prototype of a mobile version of a website for medical clinics

Translation. Region: Russian Federal

Source: Peter the Great St. Petersburg Polytechnic University –

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Valeria Rekina, a graduate of the Master's program at the Civil Engineering Institute in the Design program (profile Design in Digital Marketing) from Severodvinsk, created a prototype of a mobile version of a website for multidisciplinary medical clinics. Her development won thegrant competition of the Committee on Science and Higher Education St. Petersburg and interested specialists.

As Valeria notes, the relevance of the project is made up of a combination of three aspects.

Federal project "Creation of a single digital circuit in healthcare based on the unified state information system (EGISZ)". Research in the field of medical marketing, which notes the trend of increasing consumer demand for paid medical services. The need to adapt to various interfaces of medical clinic websites.

Valeria reviewed the factors influencing the structure of medical clinic websites, and used them to evaluate existing interfaces, as well as template solutions, which became the basis for developing a value proposition. A detailed marketing study was aimed at analyzing the target audience, namely its consumer preferences, needs, and ways of interacting with the medical website. Based on this, the information architecture of the digital resource was developed, as well as additional sections and functions that were implemented in the prototype.

Valeria then conducted a three-stage prototype testing, after which it became clear that the proposed structure and navigation were more user-friendly. In addition, patterns were identified in solving typical problems by people of different age groups. After that, the UI design of the main screen was developed, demonstrating the possibilities of adapting the prototype.

Thus, as a result of the study, the factors influencing the structure of the mobile version of medical sites were systematized, proposals were formed for designing an interface aimed at users from different age groups, and an animated prototype was developed that can be used as a template solution.

As Valeria notes, the results obtained have practical value for private medical organizations in St. Petersburg that are seeking to optimize their digital services.

This topic was chosen due to existing consumer problems, such as the need to adapt to different interfaces and the complexity of information perception, which were identified during the analysis of medical institution websites. I would like to express my gratitude for the contribution to the work to the scientific director Elena Valeryevna Knyazeva and scientific consultant Marina Borisovna Yanenko. I would like to express special gratitude to Maria Valeryevna Illarionova for supervising the stages of creating the architecture and UX design of the prototype, – said Valeria Rekina.

Three RINTS articles and a presentation at scientific conferences have been published on the topic of the research. This year, at the ISI Science Week, in the Design in Industry and Information Environment section, Valeria Rekina's development was awarded a first-degree diploma.

Please note: This information is raw content obtained directly from the source of the information. It is an accurate report of what the source claims and does not necessarily reflect the position of MIL-OSI or its clients.

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A photobioreactor for environmental research was installed at the St. Petersburg Polytechnic University Civil Engineering Institute

Translation. Region: Russian Federal

Source: Peter the Great St. Petersburg Polytechnic University –

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Specialists from the Higher School of Hydraulic and Power Engineering of the Civil Engineering Institute have developed a photobioreactor as part of the project "Development of technologies for capturing CO2 from exhaust flue gases of power and industrial installations using microalgae biomass", supported by a grant from the Russian Science Foundation. The modern equipment was manufactured by Algotek Green Technology and is a multifunctional installation for growing microalgae.

The photobioreactor opens up broad opportunities for scientists to conduct applied environmental research related tocapturing carbon dioxide by microalgae biomass.

The reactor has a capacity of 100 liters, and a mixture of microalgae, water, and nutrient medium is loaded into it. The system is equipped with automatic control of carbon dioxide supply, pH level, lighting, and temperature, which allows you to control the cultivation conditions and simulate various environmental scenarios.

In the future, the photobioreactor will be used for research in the field of bioremediation, including the possibility of cleaning flue gases at industrial enterprises using microalgae. The results of the research will serve as a basis for the development of environmentally friendly technologies for reducing the carbon footprint and integrating microalgae cultivation systems into production processes.

Please note: This information is raw content obtained directly from the source of the information. It is an accurate report of what the source claims and does not necessarily reflect the position of MIL-OSI or its clients.

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St. Petersburg scientists have proposed a new antiviral drug

Translation. Region: Russian Federal

Source: Peter the Great St. Petersburg Polytechnic University –

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Scientists from Peter the Great St. Petersburg Polytechnic University, together with colleagues from the A. A. Smorodintsev Research Institute of Influenza of the Russian Ministry of Health, have obtained recombinant interferon-lambda, known as type 3 interferon, in laboratory conditions. It protects humans from viral infections and at the same time has a number of advantages over type 1 and type 2 interferons. About this reports RIA Novosti.

Interferons are proteins that are produced in response to viral invasion and prevent their reproduction. Lambda interferons act locally, mainly on the mucous membrane of the respiratory tract, without causing excessive activation of the immune system and serious side effects characteristic of alpha interferons.

According to experts, experiments have shown the effectiveness of the new drug not only for prevention, but also for treatment at an early stage of the disease, as well as for secondary infections.

At the same time, scientists warn that in the acute phase of the disease, interferons, especially the first type, should be used with caution.

The research team plans to create a drug in the form of nasal drops or spray.

Read more Here.

Please note: This information is raw content obtained directly from the source of the information. It is an accurate report of what the source claims and does not necessarily reflect the position of MIL-OSI or its clients.

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125 Polytechnicians Receive Grants from the Government of St. Petersburg

Translation. Region: Russian Federal

Source: Peter the Great St. Petersburg Polytechnic University –

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In 2025, the number of Polytechnic students and postgraduates who won the grant competition of the Committee for Science and Higher Education of St. Petersburg almost doubled. Last year there were 73 of them, this year – 125.

Students will receive city government awards of 50,000 rubles, postgraduates – 100,000 rubles. The research topics cover five areas – these are projects in the field of humanities and technical sciences, medicine, natural and exact disciplines, as well as works related to culture and art.

One of the winners of the 2025 grant competition is the leading engineer of the educational research laboratory "Computational Mechanics" of the Advanced Engineering School of SPbPU "Digital Engineering", a postgraduate student of the Physics and Mechanical Institute of SPbPU Mikhail Khovaiko, who presented an innovative project to create lightweight and reliable mesh structures from polymer composites for the space and aviation industries.

"The project is based on research conducted at the Advanced Engineering School of SPbPU "Digital Engineering", as well as on the results of a series of scientific and experimental design work in the field of digital modeling and testing of composite materials," notes the author of the development. – We have not only proven the technical feasibility of using new technologies in the production of mesh structures for rocket and space technology, but also demonstrated their practical value. The implementation of such solutions will expand the use of polymer composites in high-tech mechanical engineering. Winning the competition confirms the relevance, novelty and significance of the problems solved within the framework of my dissertation research, and opens up new opportunities for its implementation: financial support will help accelerate the implementation of the development in industry, and recognition at the city level will increase interest from aerospace enterprises."

Postgraduate student Maxim Larin works as an engineer at the research laboratory "Laser and Additive Technologies" of IMMiT. He submitted a project for the competition "Development of laser cladding technology for restoration and extension of the service life of worn surfaces of large-sized equipment."

"Receiving the grant is an important step in developing my research in the field of repair laser cladding," Maxim shared. "The project is aimed at creating an effective technology for restoring and extending the service life of worn surfaces of large-sized equipment using the mobile laser cladding complex "Nomad", in the development of which I took direct part. This approach allows for restoration directly at the site of equipment operation, reducing downtime and increasing the efficiency of repair work."

A graduate student of the Institute of Power Engineering, Evgeny Chesnokov, won the competition with his project “Development of a methodology for determining the long-term permissible current load and emergency permissible current load on cable lines with temperature monitoring.”

"The project is dedicated to calculating long-term permissible current loads for medium and high voltage cable lines," said Evgeny. "The calculation methodology provided in the project helps optimize the operation of the cable network and effectively transmit electricity to the end user. In addition to the long-term permissible current load, the methodology allows calculating the emergency permissible current load, which makes it possible to effectively redistribute the load without harming the cable insulation. Based on the results of the project, two organizational standards were developed for PJSC Rosseti Lenenergo."

Andrey Shirokih, a graduate of the Institute of Power Engineering and an engineer at the Higher School of Power Engineering, presented a project for the competition entitled “Development of scientific and technical foundations for creating a digital twin of an aircraft engine and its control system.”

"I am glad that the project was noted, victories in such competitions motivate us to work and develop further," says Andrey. "In my opinion, digital twins are the basis for the future of aviation, a topic that needs to be developed as much as possible. I must say that the project I am working on would not have happened without the support of the Polytechnic University and the contribution of my colleagues. In many ways, the work is aimed at forming the material and technical base of the twin technology – these are experimental stands. Tests on such stands will allow us to work out the methods for creating digital twins, verify and validate the mathematical models embedded in them. Science cannot exist without an experiment, so I am doing experiments in a team of like-minded people. I hope that the results of my work will become one of the building blocks of a reliable foundation for domestic aircraft engine manufacturing."

By the way, read a long interview with Andrey Shirokih in the next issues of the project "Persona".

Margarita Yanchevskaya moved to the 2nd year of the IPMEiT master's program this year. She submitted her work "A multifactorial study of the transformation of applicants' perception of higher education institutions taking into account rating indicators" to the competition.

“The idea for the project arose from my observation of how complicated and multifaceted the process of choosing a university has become for modern applicants,” said Margarita. “They take into account many factors — from the availability of the required specialty and employment prospects to the opinion of parents and the atmosphere at the university. In recent years, the influence of subjective assessments on the perception of the quality of education has especially increased. I was interested in how these subjective factors interact with other criteria, whether ratings affect applicants’ priorities, and how applicants integrate this information into their selection system. The study showed that choosing a university for modern applicants is a multifactorial process. They evaluate universities based not only on academic indicators, but also on social factors. For successful positioning of a university, it is important to find a balance between these two aspects. Moreover, it is necessary to take into account the specifics of each university and the characteristics of applicants in different fields of study. These findings will enable us to develop more effective and targeted information strategies that take into account the wide range of factors that influence important life choices for each applicant.”

Graduate of the ISI Master's program "Digital Construction of Buildings and Structures" Prokhor Yakovlev In the project "Parametric modeling of design solutions for a hyperboloid structure", he developed a method for optimizing steel rod structures based on the criterion of minimizing metal consumption. A distinctive feature of the method is the automatic collection of climatic loads, as well as the use of an evolutionary algorithm to find an effective design solution. In his work, Prokhor implemented the method on a steel hyperboloid frame of a lighthouse structure. As a result of the study, optimal parameters of a hyperboloid structure based on the criterion of minimizing metal consumption were determined, with a reduction in the total mass by 4.5 times from the original version. Verification of the calculations was carried out by setting up the export of the calculation scheme in the LIRA-SAPR PC. An approach to detailing the design model using the automatic formation of typical nodes is also proposed, which significantly reduces costs. As Prokhor notes, the developed algorithms are universal and can be projected onto similar rod spatial structures.

Some of the guys have won KNVSh grants before. For example, Igor Repin, a postgraduate student at IE, who presented the project “Improving the energy efficiency of thermal power plants in St. Petersburg using energy-saving technologies.”

"I participated in the St. Petersburg grant competition for the second time, and won for the second time," Igor said. "Both works were related to the topic of the future dissertation and were based on the master's thesis. In the projects, I proposed modern methods for increasing the efficiency of power plants using heat pumps. The first victory gave me confidence, so I decided to participate this year. Over the year, I have added achievements and experience, there was no doubt that I would win this time! I am very happy about this, my birthday is coming up – I gave myself a great gift!"

Among the winners is the 2025 IMMiT “gold” graduate Andrey Klinovitsky with the project “Development of a robot consultant on a wheeled base and a voice human-machine interface”, Nikita Blagoy with the project “Model of digital transformation of business processes of enterprises of St. Petersburg based on game solutions”, Liliya Nezhinskaya with the project “Development of a methodology for modeling metamaterials for additive manufacturing using natural and virtual tests”, Daria Tutueva with the project “Assessment of the export-import potential of interaction between St. Petersburg and the regions of India in the field of mechanical engineering: modeling technology”, Vsevolod Gaiduk (project "Optimization of parameters of the rotary-screw propulsion unit of the robotic platform"), Anna Rovbo (the project “Development of technology for the production of bismuth-containing groups of grades of free-cutting steels for metallurgical companies”) andmany others.

Postgraduate students:

Anna Abdrakhmanova, project “Additive manufacturing of functionally graded polymer composite for lower limb prosthetics”;

Kristina Bondarenko, project “Methods of water purification from microplastics”;

Artem Borisov, project “The influence of TiC content on the manufacturing process, microstructure, mechanical and tribological properties of metal-matrix composite materials Inconel 718/TiC, manufactured using additive technology of jet-blown binder application”;

Vyacheslav Borisov, project “Functional adaptation of sets of road construction machines in the production of works on the construction of transport facilities”;

Vyacheslav Borovskikh, project “Creation and development of the energy infrastructure of St. Petersburg at the turn of the 19th and 20th centuries: technology and business”;

Zhanna Burlutskaya, project “Multi-agent model of resource distribution in the process of implementing innovative developments in network associations of technology companies”;

Kirill Vasiliev, project “Scientific and methodological apparatus for processing mobile laser scanning data for designing road repairs”;

Dmitry Vibe, project "Automatic mechatronic system for detecting centering marks";

Ekaterina Vlasova, project “Development of a quality management system standard for a model of an automated system for forming a cross-functional project team at an enterprise in the defense industry complex”;

Ekaterina Volokitina, project “Development of technology for producing high-entropy CoCrFeNiMn alloy alloyed with nitrogen”;

Pavel Golovkin, project “Improving the functioning of the Russian market of cloud information and communication services”;

Danil Erutin, project “Improving the mechanical characteristics of polyamide-12 by forming a nature-like helicoidal structure using the layer-by-layer filament deposition method”;

Maria Zaitseva, project “Study of the features of the formation of the structure and mechanical properties of ferritic-martensitic dispersion-strengthened oxide steel during selective laser melting”;

Mikhail Ivkov, project “Development of methods for substantiating the operability of the passive heat removal system from the containment shell for the Leningrad NPP-2 under conditions of equipment aging”;

Tim Isakov, project "Application of spiking neural networks and reinforcement learning algorithms for controlling mobile robots";

Vladimir Karasev, project “Improving the performance properties of machine parts made of duplex steel, microalloyed with rare-earth metals, by controlling the phase composition and structural homogeneity of castings”;

Vadim Koyokin, project “Mathematical modeling of promising devices for converting thermal energy”;

Pavel Kozinets, project “Methodology for calculating response spectra at the installation marks of hydroelectric power station equipment”;

Dmitry Kravtsov, project “Combined tests for determining the mechanical properties of multilayer thin sheet metals using non-standardized samples”;

Vadim Kraft, project “Production and study of polyimide nonwoven materials with ultra-low dielectric constant for microelectronics tasks”;

Oleg Krotov, project “Development of a scientific and methodological apparatus for the design, construction, and operation of bridge supports using construction 3D printing”;

Yuri Kuznetsov, project “Optimization of parameters of sprinkler irrigators for finely atomized water”;

Yulia Lyamina, project “Development of a spectrophotometric method for diagnosing endothelial dysfunction”;

Alexey Melnik, project “Toolkit for assessing the digital potential of innovative industrial ecosystems in the context of a green economy (using the example of the industry of St. Petersburg)”;

Denis Mikhailov, project “Study of the influence of errors in determining the linear parameters of overhead power transmission lines on the results of calculations of steady-state modes and short-circuit currents”;

Pavel Mikhailov, project “Methodology for assessing digital maturity for industrial enterprises and ecosystems of St. Petersburg”;

Suhair Msukar, project “Development of a neural network for tracking negative changes in the human cardiovascular system based on pulse wave signals”;

Alisa Mustafina, project “Development of a digital inclusiveness index for online tourist services in St. Petersburg based on fuzzy sets”;

Daniil Provodin, project “Mobile differential refractometer with the option of changing the discreteness of the measurement scale”;

Yulia Sedova, project “Justification of a new method for mechanical testing of hot-rolled thick-walled pipes for power units”;

Evgeny Tanin, project “Industry determinants of economic development of the territories of the St. Petersburg agglomeration”;

Vasily Tverskoy, project “Recycling of coffee waste and its use for food production within the framework of a closed-loop economy”;

Ratmir Ustimenko, project “Light-converting and light-emitting IR devices on InAsP and InAsP-core/CaF2-shell whisker nanocrystals”;

Tatyana Fedorova, project “Numerical study of the process of reconversion of depleted uranium hexafluoride during its interaction with hydrogen-containing substances and oxygen in combustion mode for the development of a methodology for scaling a tunnel burner reactor.”

Oleg Tsykunov, project “Development of a mathematical model of filtration and a hybrid optimization algorithm for processing the results of streaming experiments”;

Valentina Chelysheva, project “Reducing the negative impact on water bodies using chitosan-graphene oxide sorbents”;

Sergey Shavurov, project “Development of a virtual laboratory for life safety”;

Polina Shinkevich, project “Reducing anthropogenic impact on the environment through the use of microalgae”;

Daria Shudegova, project "Using neural networks in teaching reading in English in the multi-level educational system of St. Petersburg."

Students:

Margarita Absalyamova, project “Autoimmune component of the pathogenesis of Parkinson’s disease: the role of autoantibodies against neurotensin”;

Kirill Alesich, project “Hybrid design schemes as a way to optimize the cost and timing of construction of residential buildings”;

Maxim Antonenko, project “System for remote biomonitoring of heart rate based on photoplethysmography”;

Maxim Antonov, project “Assessment of the thermal impact of burning cable lines on the building structures of the storage and repair building of the metro electric depot”;

Alexandra Antonova, project “Application of digital twins in the work of social security institutions”;

Eldar Asadullaev, project “Improving state policy in the field of creating a comfortable urban environment”;

Ignat Bayanov, project “Application of meshless methods for solving problems of modeling emergency situations”;

Dmitry Boldarev, project “Rubidium quantum frequency standard using a frequency converter based on a waveguide path”;

Svyatoslav Boloban, project “Flexible structures of protective structures based on materials with an auxetic structure”;

Anna Gaina, project “Using a PID controller for temperature control in the process of laser hardening of steel”;

Gleb Golikov, project “Automated exchange bot for algorithmic trading of digital assets in the context of ensuring information security at enterprises in St. Petersburg: problems and solutions”;

Natalia Grozova, project “Development of radiation-resistant polymer composite materials for the protection of solar cells”;

Daria Davydova, project “New optical tissue oximetry sensor for monitoring the functional state and aerobic performance of humans”;

Daria Denisenko, project “Improving the system of organizing training in labor protection through the development of a software product”;

Ilya Denisov, project “Improving the methodology for assessing the probability of ignition of a cloud of fuel-air mixture in urban areas”;

Maxim Dergachev, project “Development of a model for the formation and algorithms for optimizing the composition of an IT project team”;

Ksenia Dolgova, project “Analysis and justification of the development of urban recreation zones in small towns (using the city of Kudrovo in the Leningrad Region as an example)”;

Maya Egorova, project “Green Finance as a Tool for Ensuring Sustainable Development in BRICS Member Countries”;

Ekaterina Esipova, project “Modeling the work of international organizations as an important aspect in the training of international students”;

Nikita Izbyakov, project “Modernization of an experimental stand and testing for validation of calculations of a radial-axial turbine operating on supercritical carbon dioxide”;

Polina Zhirakova, project “Intelligent evacuation system on sea vessels using reinforcement learning algorithms and modeling of fire hazards”;

Timofey Zhorzhikov, project “Legal regulation of digital technologies”;

Daniil Zhuravlev, project “Evaluation of the use of asphalt concrete mixtures using polymer modifiers in combination with maleic anhydride”;

Serafim Zagorodniy, project “Methodology for the formation of a corporate system for classifying construction information”;

Alexander Zeleny, project “Optimization of information retrieval algorithms for educational text corpora in the context of RAG systems”;

Elizaveta Ivanova, project of an air-supported structure for a non-standard building site;

Sharip Isaev, project “Modern approaches to designing architectural lighting using artificial intelligence”;

Ekaterina Isupova, project “Multifunctional temperature control and management unit for a gas cell of a quantum discriminator of a rubidium frequency standard”;

Danila Karaulov, project “Expansion of the fundamental base for the creation of photodetectors and infrared radiation sources based on GeSi/Si semiconductor quantum dots”;

Ekaterina Kirgetova, project “The Enigmatic Genre of Russian and English Poetry as a Means of Developing Students’ Ethnocultural Concepts (Comparative-Contrastive Analysis)”;

Ilya Klepov, project “Development of an algorithmic system for supporting investment decisions in the stock market”;

Alexey Kozhus, project “Scenarios for the architectural and landscape organization of public spaces of low-rise historical buildings on the territory of the Narvskaya Zastava in St. Petersburg”;

David Kokaya, project “Methodology for environmental assessment of the life cycle of buildings using information modeling technologies”;

Ekaterina Kondaurova, project “Fundamentals of adaptation and development of cultural literacy of foreign students studying in St. Petersburg in the field of “Foreign regional studies” (within the framework of the discipline “Foreign language”)”;

Polina Kornienko, project “Luminescent communication in multi-junction solar cells”;

Lidiya Kudryavtseva, project “Development of a methodology for assessing the frequency of accidents for equipment of main pipeline transport site facilities”;

Denis Kustov, project “Improving mechanisms of public administration in the sphere of urban public transport (using the example of St. Petersburg)”;

Valeria Lapshina, project “Methodology for automated design of a construction master plan”;

Anna Maksimova, project “Improving the efficiency of the MFC network in the Leningrad Region: improving the personnel management system”;

Marina Malashenko, project “Modeling of indicators of road transport safety in the regions of the Russian Federation”;

Victor Matveev, project “Development of a technical vision system for identifying obstacles and the supporting surface in front of a mobile robot using a neural network”;

Alexey Melnikov, project “Study of the features of shape change of ring power elements made of TiNi alloy after active deformation”;

Valeria Mitsuk, project “Repair of asphalt concrete surfaces of city roads in conditions of dense traffic flows”;

Mikhail Murashko, project “Gamification as a technology for overcoming psychological and pedagogical barriers in learning foreign languages in a digital environment”;

Nika Nikolaenya, project “Development of youth-oriented fair and exhibition events in St. Petersburg”;

Ilya Norvatov, project “Polarization-sensitive electro-optical shutter for the terahertz spectral range”;

Elena Obukhova, forecast “Forecasting VK share prices using machine learning methods: development of an investment analysis model for St. Petersburg”;

Denis Pelmenev, project “Study of obstacle avoidance algorithms when controlling the movement of an underwater biosimilar tunimorphic robot”;

Anna Petrova, project “Development of a set of measures to enhance the investment attractiveness of a development project using the example of the reconstruction of a real estate object”;

Prokhor Polyakov, project “Organization of a payment interaction system between the Russian Federation and the People’s Republic of China based on the Ruble-Yuan liquidity pool technology”;

Elena Porfiryeva, project “New non-invasive method for determining coefficients in esCCO technology for reliable diagnostics of a patient’s cardiac output in real time”;

Valeria Rekina, project “Universal prototype of a mobile version of a website for multidisciplinary medical clinics”;

Ivan Rud, project “Development of a method for diagnosing the quality of semiconductor thin-film photovoltaic structures for clothing and equipment”;

Zakhar Saranin, project “Statistical analysis of retail prices for refined petroleum products at regional gas stations in St. Petersburg using a dynamic data parsing information system”;

Mikhail Safoshkin, project “The influence of outrigger floor types on the stress-strain state of a high-rise building frame when calculating progressive collapse”;

Elizaveta Svirina, project “Comparative analysis of regional differences in the formation of students’ professional expectations”;

Ksenia Selyakova, project “Assessment of the accuracy of hydraulic calculations of water supply systems using BIM technologies”;

Oleg Sergeev, project “Development of visual models to optimize the implementation of an environmental management system at hazardous production facilities”;

Evgeny Seredin, project “Modeling the dynamics of CO2 emissions in the regions of the Russian Federation”;

Arseniy Sluzhaev, project “Mobile transport robots: the influence of nonlinearity of elasticity coefficients on the design; decentralized control system; possibility of application in the Arctic region”;

Olesya Starchenkova, project “Analysis and clustering of unreliable news information as a tool for ensuring regional information security”;

Yaroslava Solntseva, project “The influence of taking into account the work of a combined beam on the dimensions of the cross-section of frame elements”;

Alexander Subbota, project “Parametric modeling of Gaussian curvature coatings and clarification of the nature of wind impact on them”;

Olga Suchkova, project “Research into mill scale processing processes”;

Polina Filatova, project “Analysis of Russian-Chinese cooperation in the Arctic: asymmetry of interests and prospects for sustainable partnership”;

Adel Khaliullin, project “Mathematical model for forming a portfolio of innovative projects”;

Maxim Chemusov, project “Development of a module for identifying violations by electric scooter drivers using computer vision technologies”;

Daria Chernukha, project “Application of a risk-oriented approach in the operation of the gas transmission system”;

Daria Shalamova, project “Application of laboratory work in physics in classes on Russian as a foreign language at the preparatory faculty”;

Alexey Shikharev, project “Development of an approach to assessing the effectiveness of regional waste management systems in Russia”;

Olesya Shosheva, project “Preoperative planning of hardware-surgical expansion of the upper jaw based on finite element modeling”;

Anastasia Yuniceva, project “Digitalization of agricultural crop cultivation processes through the introduction of an intelligent information system using UAVs”,

Diana Yakimenko, project “Formation of a teacher’s personal brand using artificial intelligence technologies in the context of digital transformation of the educational environment.”

Please note: This information is raw content obtained directly from the source of the information. It is an accurate report of what the source claims and does not necessarily reflect the position of MIL-OSI or its clients.

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Polytechnic University wins grant for joint project with Technological University of Havana

Translation. Region: Russian Federal

Source: Peter the Great St. Petersburg Polytechnic University –

An important disclaimer is at the bottom of this article.

The SPbPU project “Development of a decision-making model for the optimal functioning of the electric power system under conditions of extreme weather events” under the supervision of Professor Vyacheslav Burlov of the Higher School of Technosphere Safety of the Civil Engineering Institute received a grant from the Ministry of Science and Higher Education of the Russian Federation to conduct scientific research with partners from Latin American and Caribbean countries.

Polytechnic will work on the project together withTechnological University of Havana José Antonio Echeverría (CUJAE) and the Russian industrial partner, the RIO design bureau.

Scientists will analyze the scientific and technical state of the energy security system of the Republic of Cuba in order to establish a connection between power supply interruptions and the technical condition of equipment and weather conditions. Based on the results of the analysis, a list of threats to the region's power supply will be compiled, and on its basis, models of security processes and the target process of power supply will be developed. On their basis, scientists will develop an innovative intelligent decision-making model that ensures reliable and sustainable operation of electric power systems in extreme climatic conditions: during hurricanes and typhoons, in severe frost and heat.

In contrast to the existing practice of developing energy security models based on an analysis built on the assessment of accidents that have occurred, comparison of objects and forecasting possible problems in the process of their operation, a natural-scientific approach to managing the regional power supply system will allow the formation of processes with predetermined properties.

The feasibility of conducting applied research together with the Technological University of Havana is due to the fact that the task of ensuring energy security is one of the primary ones for Cuba today. In February, March, October and December 2024, the country experienced a series of power outages. This problem is also relevant for the Russian Federation. For example, on July 16, 2024, a large-scale power outage occurred in the south of Russia and the North Caucasus, caused by increased loads on the power system due to heat and a failure of generating equipment at the Rostov Nuclear Power Plant.

The joint development will be a step towards the development of "smart" energy grids capable of maintaining stable power supply and increasing consumer safety. The project emphasizes the importance of transitioning to advanced technologies for designing and creating high-tech products based on the use of intelligent manufacturing solutions, robotic and high-performance computing systems, new materials and chemical compounds, results of processing large volumes of data, machine learning technologies and artificial intelligence.

This project is a vivid example of how modern science and advanced technologies, in particular artificial intelligence, can solve global challenges. Our collaboration with CUJAE highlights the importance of international cooperation in creating innovative solutions that can change the future of energy in Russia, Cuba and beyond, – said Yuri Fomin, Vice-Rector for Research at SPbPU.

Please note: This information is raw content obtained directly from the source of the information. It is an accurate report of what the source claims and does not necessarily reflect the position of MIL-OSI or its clients.

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ISI scientists study optical properties of river water

Translation. Region: Russian Federal

Source: Peter the Great St. Petersburg Polytechnic University –

An important disclaimer is at the bottom of this article.

Scientists from the Civil Engineering Institute are conducting a study aimed at studying the characteristics of water from the Neva River that are important for online monitoring of its quality. Work on the project is being conducted under the supervision of Maria Andrianova, Associate Professor of the Higher School of Hydraulic Engineering and Power Engineering of the Civil Engineering Institute. The research group also includes Ekaterina Chabina, Senior Lecturer at the ISI HSGEES, and Benjami Ishtvakh, Postgraduate Student.

The aim of the study is to analyze the variability of the optical density of water in drinking water sources, which is key to improving automatic monitoring systems (CAM) of pollutants. Modern online monitoring technologies can significantly speed up the process of water quality analysis, although their accuracy may be lower than laboratory methods. However, prompt data acquisition is critical for the effective management of water purification processes. In 2021, a GOST was adopted regulating the use of CAM, which emphasizes the need to take into account seasonal and weather phenomena when monitoring water bodies.

According to project manager Maria Andrianova, preliminary data demonstrate significant seasonal variability of optical coefficients in the ultraviolet range, exceeding the possible measurement error. This confirms the relevance of the study aimed at assessing the scale of this variability and determining the factors influencing its dynamics. Given the changes in climatic conditions and the transformation of the city's sewage system over the past decades, the project is of particular importance for modern ecology and water treatment.

The Higher School of Hydraulic and Power Engineering of the Civil Engineering Institute has a modern instrumental base for analyzing the main characteristics of water, including determining total organic carbon, individual ions, optical density spectra and fluorescence in the ultraviolet and visible ranges. Scientists plan to conduct a detailed analysis of water samples taken from the Neva and its tributaries under various weather conditions: in summer and winter, during the spring flood and autumn showers. The main objective of the study is to create a database of spectral and chemical indicators of water for the subsequent identification of patterns.

To ensure the successful implementation of the project, the participation of master's students is required. In this regard, we invite students of the Civil Engineering Institute to take an active part in the work on the project, as well as to complete final qualifying works on the research topic, – shared senior lecturer of the Higher School of Civil Engineering and Economics Ekaterina Chabina.

We hope that the research results will find application at the enterprises of the Vodokanal of St. Petersburg, noted the project manager Maria Andrianova.

Please note: This information is raw content obtained directly from the source of the information. It is an accurate report of what the source claims and does not necessarily reflect the position of MIL-OSI or its clients.

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