Nine Polytechnic University students have become drone operators.

Translation. Region: Russian Federation –

Source: Peter the Great St. Petersburg Polytechnic University –

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At a meeting of the Academic Council, SPbPU Rector Andrey Rudskoy presented certificates of professional qualifications to nine Polytechnic students who completed the "Unmanned Aerial Systems Operator (up to 30 kg)" professional training program in November 2025.

A joint project between the Polytechnic University and Petrovsky College The program is being implemented as part of the "Priority 2030" strategic academic leadership program (the "Development of a system for students to simultaneously obtain multiple qualifications within vocational education"). Classes are offered in both in-person and remote formats and provide students with in-demand UAS skills.

In the theoretical part, students study the history, types, and design of unmanned aerial vehicles, their technical requirements, and control principles. In the practical part, they master virtual UAS programming: they learn to control drones in different coordinate systems, create flight programs, process the received data, and much more.

The program's graduates include eight students from the Institute of Computer Science and Cybersecurity and one from the Institute of Electronics and Telecommunications.

Certificates were received at the Academic Council by: Valery Adonin, Nikita Batsienko, Ilya Vinkovsky, Nikita Demakov, Daria Kazantseva, Danil Krapp, Ekaterina Mudraya, Nurislam Yarmukhamedov and Victor Penkov.

"We're studying 'Control in Technical Systems,' so it was doubly interesting," shared second-year students Ekaterina and Daria. "We had a lot of lectures, assignments, quizzes, and it was also really interesting to design a drone flight using a computer program."

Please note: This information is raw content obtained directly from the source. It represents an accurate account of the source's assertions and does not necessarily reflect the position of MIL-OSI or its clients.

"I'm so glad I can help people": the story of a master who dedicated 60 years to the State University of Management

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Source: Official website of the State –

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On February 14, 2026, Nikolai Kosmachev celebrated 60 years of working at the State University of Management. He came to the university as a young man to study evening classes and obtain a higher education, and he remained here for many years. After graduating, he decided to work at his alma mater in the Physics Department as a training supervisor. A year later, he became acting head of the machine tool laboratory in the Mechanical Engineering Technology Department, and now works as a fourth-category lathe operator.

On February 24, 2026, in the Academic Council Hall, Nikolai Nikolaevich was ceremoniously presented with a letter of gratitude "for many years of conscientious work, the highest professional excellence, dedication, and the transfer of a wealth of experience to young specialists." The well-deserved award was presented to the specialist by Vladimir Stroyev, Rector of the State University of Management. He noted: "This is a special occasion, a wonderful example of selfless service to our common cause and dedication to the university."

On January 27, Nikolai Kosmachev turned 85. To mark these two important milestones, we decided to explore Nikolai Kosmachev's journey at the university and asked a few questions:

How did you come to this profession? Was it a conscious choice or a stroke of fate? I came here as a student, although I'd already worked at other factories for three years. There, I learned how to make various parts and acquired the skills to work quickly. After graduating, I decided to stay at the State University of Management because I knew everyone, lived nearby, and attended interesting and important courses as an auditor. Everything suited me: the faculty were wonderful, intelligent people, and I was already a trained specialist, a highly skilled turner.

"How has your workplace changed over 60 years?" "The only thing that changed was the machines; there were three of them, almost the same age as me. We changed because it was possible to buy a newer model: so if the previous machine was 70 years old, the new one is 52. The technology, operating principles, and everything else remained the same. This isn't a factory, so there's not much variety. Machines, tractors, couplings, bushings, nuts… Plumbers are constantly running around, and everyone comes here because they can get something done."

What was one of the most memorable events in your career? One day, Olimpiada Vasilyevna, the rector of the institute, lost the key to one of her seven home locks. She lost the key to a lock that had been installed privately and was told, "No one will ever open it. All the state-owned ones will break, but this one won't." The rector called her assistant, Tatyana, to my place; she picked me up in her car and took me to look at the lock. There, I discovered something interesting – its design was very intricate. The key is split in half, along its axis: you insert one half, the other falls, hits a gear, turns it, and opens the lock. All that's visible from the outside is just a hole; we had a similar one for a dovecote when we were kids. I found out the approximate size of the key, made three different versions, literally "at random," and opened the door with the first one. That's the story.

Looking back, what do you consider your greatest contribution to the university? If I'm going to brag, I'd say my hands are the only ones the entire university has. If anything happens, they come here right away, and I'm so glad I can help people; that's how we were raised. People come running to us and say, "The car's broken and needs to be ready in an hour," and it'll start working; I'll do whatever it takes. I work quickly, and everyone needs my work: the plumbing, the pool, the gym; I even fixed the safe when someone lost the keys.

Is there some aspect of university life that only you and your colleagues know, but that faculty and students don't? A lot has happened over the years. I knew university staff members few people have ever met. Among them were Olimpiada Kozlova, Anatoly Porshnev, and Alexey Lyalin—all of them former rectors. As a laboratory assistant, I even taught under Vladimir Godin, who later became acting rector of the State University of Management. Many future employees studied with me…

Congratulations to Nikolai Kosmachev on his anniversary!

Thank you for your many years of responsible and dedicated service to the State University of Management, for your example of sincere love for your profession, and for your gift of talent!

We wish you every day spent at the university filled with inspiration and pride in the work you've accomplished. This work is truly priceless, because you do it with great love and respect for others! We wish you good health, prosperity, and happiness!

Subscribe to the "Our GUU" Telegram channel. Publication date: February 25, 2026.

Please note: This information is raw content obtained directly from the source. It represents an accurate account of the source's assertions and does not necessarily reflect the position of MIL-OSI or its clients.

Pierre-Auguste Renoir: a master of light, color, and inimitable smiles

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Source: Official website of the State –

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On February 25, 1841, in the French city of Limoges, Pierre-Auguste Renoir was born into a tailor's family. He was the artist whose name became synonymous with Impressionism, and whose paintings embodied warmth, happiness, and the beauty of life.

From early childhood, Pierre showed an interest in art: he sang in the church choir and enjoyed drawing. At 13, the young Renoir began his creative journey by painting porcelain. This work, far from high art, taught him immense patience and a subtle sense of color and composition. He learned to work with fragile materials, adding graceful floral motifs and pastoral scenes to the curves of vases and plates—an experience that proved invaluable for the future artist.

The beginning of a creative path and friendship with artists

At 20, having saved enough money, Renoir went to Paris. In 1862, he entered the studio of the artist Charles Gleyre, where he met young, ambitious painters such as Claude Monet, Alfred Sisley, and Frédéric Bazille. This acquaintance blossomed into friendship and gave the world great works of art. Together, they explored new paths in art, rejecting academic dogma and preferring to work outdoors—en plein air. They spent entire days outdoors, observing how light changes at different times of day and how color influences the perception of form. It was in these free, light-filled experiments that Impressionism was born.

Love for people and uniqueness

Pierre Renoir became one of the pillars of the Impressionist movement, yet he retained his own unique qualities. Unlike some of his colleagues, Renoir was most interested in the everyday lives of people. He loved to depict them in happy, carefree moments, capturing their emotions while dancing, conversing, and relaxing in nature.

The artist's most famous works include: "Ball at the Moulin de la Galette", "Luncheon of the Boating Party", "Theatre Box", "Large Bathers", "Pink and Blue" and others – they convey the incredible atmosphere and beauty of life.

Amazing skill and strong spirit

A true master, Renoir was able to capture the play of light on any surface: on the tanned skin of dancers, on the surface of a pond, on flower petals, on the folds of silk dresses. The sun's rays depicted in these paintings seem to transform everyday life into a celebration.

He was especially meticulous about portraits, striving to reflect not only facial features, but also the character and inner world of a person.

In the last decades of his life, Renoir suffered from a severe form of rheumatoid arthritis. But even his illness didn't force him to abandon his beloved art. He believed that pain fades, but beauty remains, so he continued painting, tying his brush to his hand. During this period, his works became even bolder in color, and their forms became more rounded and voluminous.

Life is full of interesting facts

The artist had his own color theory: he practically never used black paint, replacing it with rich blue, violet, and green hues, even in the shadows. Renoir painted very quickly. For example, a portrait of the composer Richard Wagner was completed in just 35 minutes. Renoir's talent was not immediately recognized. He submitted his works to the academic Paris Salon, and before they were accepted, the artist received several rejections. Charles Gleyre, Pierre's apprentice, immediately recognized his student's talent and refused to charge him tuition. Early in his career, to earn a living, Renoir painted commissioned portraits, initially paid for with food.

Pierre-Auguste Renoir left the world not just paintings, but an entire worldview, filled with warm sunlight, carefree spirit, and joy. He continues to teach us to see the beauty in every day and reminds us that the true beauty of life lies in simple, everyday moments.

Subscribe to the "Our GUU" Telegram channel. Publication date: February 25, 2026.

Please note: This information is raw content obtained directly from the source. It represents an accurate account of the source's assertions and does not necessarily reflect the position of MIL-OSI or its clients.

Polytechnic University in the Media: A Review of February's Publications

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Source: Peter the Great St. Petersburg Polytechnic University –

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In February, several events at the Polytechnic University attracted the attention of federal and regional media. Earlier this month, Timofey Karpov, a research fellow at the SPbPU Laboratory of Nano- and Microencapsulation of Biologically Active Substances, appeared on the "Morning in St. Petersburg" program on the Saint Petersburg TV channel. spoke about a new approach to cancer therapy.

The Polytechnic University calculated that one job in the Arctic would create up to 14 vacancies. RIA Novosti reports this.

The Saint Petersburg Diary published the news that the Polytechnic University is using the electric arc method printed the largest blank in Russia, weighing 750 kg.

The editorial staff of the online publication Gazeta.ru was interested in the research of Polytechnic University scientists ondangerous consequences of influenza for pregnant women.

An NTV film crew attended the opening of the exhibition of Olympic champion Evgeny Kulikov and filmed reportage.

NTV also reported on the opening at the Polytechnic University. innovative coworking audience.

And the TV channel "Saint Petersburg" covered the presentation of the gown and diploma Honorary Doctor of SPbPU to the Chairman of the Board of Directors of Severstal Alexey Mordashov.

Rossiyskaya Gazeta published on the eve of the Polytechnic's birthday A long interview with SPbPU Rector Andrey Rudskoy about training engineers of the future.

TASS presented in the Science section two scientific projects of polytechnics: digital model of a nuclear waste vitrification furnace Androbot for pipeline diagnostics, the development of which is being carried out with the support of the federal program "Priority-2030".

The Polytechnic University actively promotes its activities—from scientific breakthroughs and international collaborations to student achievements, sports victories, and vibrant cultural events—on television, in newspapers, and online platforms at both the federal and regional levels. This outreach ensures the Polytechnic University remains visible to a wide audience.

You can see a selection of publications in the section "Media about us", as well as in the "Media" section on the main page of the site spbstu.ru — materials are updated regularly.

Please note: This information is raw content obtained directly from the source. It represents an accurate account of the source's assertions and does not necessarily reflect the position of MIL-OSI or its clients.

A New Space of Opportunities: Modern Classrooms and Laboratories Open at the Polytechnic University

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Source: Peter the Great St. Petersburg Polytechnic University –

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Peter the Great St. Petersburg Polytechnic University continues its large-scale modernization of its educational infrastructure. The Institute of Industrial Management, Economics, and Trade has completed the latest stage of the "StroyimNashDom" project to refurbish the academic building at 50 Novorossiyskaya Street.

A total of 3,148 square meters of space on the third and fourth floors of Academic Building 50 have been renovated. Twenty-nine renovated rooms with a total of 786 seats have been created, including 20 classrooms with 696 seats, two computer labs with 40 seats equipped with modern all-in-one computers, and three new teaching laboratories with 50 seats. All rooms are equipped with modern projection technology and 25 televisions with internet access. Student lounges have been created, and a video surveillance system with a feed to the institute's security post and the University Security Center has been installed.

I'd like to point out that, despite the economic conditions facing our country today, we continue to move forward. The project began in the second half of 2017, and step by step, floor by floor, we are systematically renovating the space. This is the result of the institute's team's talent and management, as well as their ability to unite the university's partners and friends. To date, over three thousand square meters have been renovated, and over the years of the project's implementation, a total of 17,500 square meters have been renovated. Behind every square meter stands the work of people who earn and invest in the university's development, as well as the contributions of students who actively participate in the institute's life. IPMEIT has come a long way, and I am confident that you will continue to develop, strengthening your position regardless of external circumstances. I congratulate everyone on this significant event and wish you continued success and achievements," noted SPbPU Rector Andrey Rudskoy.

The grand opening of the renovated spaces marked a significant milestone in the development of the institute's educational infrastructure. Along with modernized classrooms providing comfortable learning conditions, special attention was paid to the creation of specialized laboratories focused on students' practical training and the development of applied competencies.

The Integrated Trading Systems Management Training Lab has become a modern educational platform aimed at developing professional competencies in trade management, negotiations, marketing strategy development, and the use of digital promotion tools. The space is equipped with specialized equipment provided by industrial partners AEZA Group LLC and Garvex Group. The lab will host practical classes, training sessions, master classes, and business simulations aimed at developing applied skills and preparing students for work in the real economy.

The training laboratory for designing and standardizing hotel products includes three functional zones: "Reception and Accommodation," "Restaurant Service," and "Rooms." This space simulates real-life operating conditions in the hospitality industry. The "Reception and Accommodation" zone utilizes TravelLine and EMIS SERVIS software (partnered by G1 Software), allowing students to master modern hotel management technologies and take a demo exam for the "Receptionist" profession. The "Restaurant Service" zone is equipped with the Saby hotel and restaurant services system, as well as professional equipment for practicing service skills and obtaining the "Waiter" profession. The "Rooms" zone features a full-scale mockup of a hotel room for developing competencies in the technical equipment of guest spaces and testing various quality control tools for operational units and fixed assets.

The Experimental Research and Behavioral Process Analysis Lab was created to conduct applied scientific research, model various behavioral scenarios, and subsequently process and interpret the resulting data. The educational process will utilize neural interfaces used in the disciplines of Neuromarketing, Service Design, and Consumer Loyalty Management. The lab is designed for undergraduate and graduate students conducting research and project work using modern methodologies and technological solutions.

Additionally, the renovated building now houses the IPMEiT Media studio—a specialized space for creating photo and video content, recording interviews and podcasts, and preparing materials for the website and social media. The studio is soundproofed and features a workstation for efficient post-processing. Further expansion of its technical capabilities is planned.

Since 2017, 17,500 square meters of IPMEIT's 50th academic building have been renovated and equipped as part of the "BuildOurHouse" project. The project aims to create a modern educational environment, integrate the educational process with practical training, and strengthen the university's collaboration with industrial partners.

The opening of renovated classrooms and laboratories is more than just a renovation and refurbishment of the premises. It's a systematic effort to create a modern educational environment where students gain not only theoretical knowledge but also practical skills sought by employers. We are consistently implementing the renovation project for the Novorossiyskaya building, creating a space that meets the current demands of the digital economy. "It's important to us that every classroom and every laboratory become a growth point—for students, faculty, and the entire institute," shared Vladimir Shchepinin, Director of the Institute of Mechanics and Technology.

Please note: This information is raw content obtained directly from the source. It represents an accurate account of the source's assertions and does not necessarily reflect the position of MIL-OSI or its clients.

Polytechnic University in the HSE Admissions Quality Ranking 2025: Leadership Analysis

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Source: Peter the Great St. Petersburg Polytechnic University –

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The annual monitoring of admissions quality to Russian universities conducted by the Higher School of Economics Research University allows us to assess the position of Peter the Great St. Petersburg Polytechnic University. An analysis of data from the 2025 admissions campaign shows the university's performance in the overall rankings, regional rankings, and individual program areas.

General results of the reception

In 2025, SPbPU entered the top 40 Russian universities for the quality of state-funded admissions. The average Unified State Exam score for those admitted to state-funded places was 82.5. Of these, 3,375 students were admitted to state-funded places.

The number of people admitted based on the results of the Olympiads (without entrance examinations) is 185 people.

1,560 students with an average score of 69.0 were admitted to fee-paying places.

Leadership among universities with an enrollment of over 3,000 students

In 2025, only seven Russian universities enrolled more than 3,000 students in their undergraduate and specialist programs on a state-funded basis. Among this prestigious cohort of the country's largest educational centers, SPbPU ranks third in terms of average score (82.5), behind only Lomonosov Moscow State University (88.6) and Bauman Moscow State Technical University (84.1).

Moreover, the average score of the Polytechnic University is significantly ahead of the indicators of such large universities as Kazan Federal University (76.5), Ural Federal University (74.5) and Southern Federal University (71.6).

Positions among universities of St. Petersburg

Based on the average GPA for state-funded admissions (82.5), SPbPU ranks among the top five universities in St. Petersburg. This is the best result among the city's technical universities. For comparison, SPbGASU (80.6), ETU "LETI" (77.9), the Mining University (76.4), and Voenmech (72.1). In terms of the number of state-funded places (3,375 in undergraduate and specialist programs), SPbPU is the absolute leader in the city (and fifth in Russia).

In terms of fee-paying admission, Polytechnic also demonstrates the best result among all technical universities in St. Petersburg (average score of 69) and is among the city’s top three in terms of the number of fee-paying students (1,560 people).

Results by training areas

Budget Reception: Flagship Engineering and IT Areas

Nuclear Physics and Technology: second place in Russia. The average score of 86.2 is second only to MEPhI. This high level is confirmed by the seven admitted Olympiad winners. Computer Science and Engineering: the average score of 88.1 is on par with the country's leading IT universities. Admission totaled 255 students, 35 of whom were Olympiad winners. Instrumentation and Optical Engineering: third place in Russia (average score of 85), after MEPhI and ITMO. Physics: the average score of 80.4 (fifth place in St. Petersburg). 225 future physicists were admitted to the Polytechnic University in 2025—the largest enrollment in the city. Power Engineering and Power Engineering: the average score of 76.7 (second place in St. Petersburg), taking into account the largest enrollment of 275 people.

Budget admission: humanities and creative arts

Architecture and Urban Planning: second place in Russia. Average score 88.6. Design: fourth place in Russia. Average score 95.5, ahead of many specialized art universities. 13 Olympiad winners were admitted. Law: average score 86.3. For a technical university, this is the fourth place in St. Petersburg—a strong position.

Paid reception: quality and dynamics

Chemical and Biotechnology: impressive growth of 4.9 points, reaching an average score of 70.1. Instrumentation and Optical Engineering: record growth among engineering fields, up 6.1 points (average score of 72.5). Business Informatics: average score of 72.9. 12th place in Russia. Growth of 0.7 points. Computer Science and Engineering: large-scale paid recruitment – 255 people with an average score of 68.3.

The results of the HSE monitoring confirm that the Polytechnic University remains a magnet for the most talented and motivated students from across Russia. A high average Unified State Exam (USE) score, interest in our engineering core, and, most importantly, the steady growth in quality in IT and design—all of this speaks to the trust of applicants and their families in our education. For us, these monitoring figures are more than just statistics. They reflect our key goal: training an engineering elite that will ensure Russia's technological sovereignty and leadership. It is here, at the Polytechnic, that the future of our industry and science is forged. But most importantly, behind every figure are people: our students. We are proud that they choose us, and we do everything to help them not just earn a degree, but also find themselves, unlock their potential, and become professionals capable of solving the most complex problems. "SPbPU is not only about fundamental knowledge; it is an environment where everyone can realize their dreams and contribute to the development of the country," notes Lyudmila Pankova, Vice-Rector for Academic Affairs at SPbPU.

You can find out which areas/specialties are included in which major groups when calculating the HSE ranking atwebsite.

Please note: This information is raw content obtained directly from the source. It represents an accurate account of the source's assertions and does not necessarily reflect the position of MIL-OSI or its clients.

Maslenitsa at the Polytechnic: Students bid farewell to winter with pancakes and round dances

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Source: Peter the Great St. Petersburg Polytechnic University –

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On Sunday, February 22, the Student City on Lesnaya Street sparkled with bright colors and joy. Extensive Maslenitsa festivities unfolded, organized by the Student Club and the United Student Council of the Dormitories. The celebration immersed students in a whirlwind of folk traditions and exciting yet friendly competitions.

It all began with a Maslenitsa quest, where 14 teams from the dorms competed in strength, agility, and wits. The students dressed up Maslenitsa—an improvised effigy—demonstrated their heroic dexterity, deftly negotiated buffoonish questions, and deftly overcame tricky obstacles. The main competition was "Pancake Maker"—a final culinary and creative duel in which pancakes were transformed into works of art.

The jury, headed by Maxim Pasholikov, Vice-Rector for Information, Youth Policy, and Security, judged complex pancake-like structures: flowers, huts with wells, military equipment, and Maslenitsa dolls. The winners of these first spring games were the teams from Dormitories No. 4a, 16, and 1.

"It's wonderful to see that Polytechnic students not only study hard but also have genuine fun, creating an atmosphere of warmth and friendship. This holiday unites us all as a large university family. Take care of each other, respect traditions, and remember that you are the ones who create the unique spirit of the university!" Boris Kondin, Head of the Directorate of Cultural Programs and Youth Creativity, addressed the students.

The Polytechnic University's finest creative groups created the atmosphere at the venue: the spirited buffoons from the Student Theater, the fiery vocalists of the "Don't Sleep!" Musical Show, and "Stars of the Polytechnic." The vibrant accordion tunes sent both adults and children into a dance routine. And to earn "pancake tickets" for refreshments, guests stormed the creative stations hosted by PROF, "Black Bears," KVN, Adapters, and the "Don't Sleep!" organizers.

"I learned about Maslenitsa from friends and never would have guessed it was such a big celebration! I had the chance to play, listen to a concert, and chat with friends. It was so much fun, loud, and exciting when they burned the effigy!" shared second-year student Alina Ivanova.

The festivities concluded with the traditional burning of a Maslenitsa effigy in a large, friendly circle dance. According to the organizers, 4,000 pancakes were eaten during the day—thus the Polytechnic students kicked winter into high gear and welcomed spring!

Please note: This information is raw content obtained directly from the source. It represents an accurate account of the source's assertions and does not necessarily reflect the position of MIL-OSI or its clients.

NSU scientists have developed a new multi-step approach to compensating for nonlinear distortions in fiber-optic communication lines.

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Source: Novosibirsk State University –

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A new multi-step approach for compensating for nonlinear distortions in fiber-optic communication lines based on digital backpropagation, which utilizes a sophisticated model of nonlinear effects using perturbation theory, has been developed by scientists from Novosibirsk State University. This approach was developed as part of a comprehensive research project aimed at overcoming the influence of nonlinear physical effects and random noise on optical sensors and fiber-optic communication lines. In this large-scale project, NSU scientists, in collaboration with colleagues from Ulyanovsk State University, combined photonics and machine learning, enabling the development of new methods for analyzing, optimizing, and controlling nonlinear processes, leveraging both the high-speed signal processing in optical systems and the ability of machine learning to discover and exploit hidden information. The project "Machine Learning for Applied Problems of Nonlinear Photonics," led by former NSU Rector, RAS Academician, and Doctor of Physical and Mathematical Sciences Mikhail Fedoruk, received grant support from the Russian Science Foundation last year after winning an interdisciplinary competition in the category "Conducting Fundamental Scientific Research and Exploratory Scientific Research on the Instructions (Directives) of the President of the Russian Federation."

Union of Mathematicians and Physicists

Particular attention is currently being paid to the development of "smart" lasers that can adapt to external conditions and dynamically control their parameters in real time. Such systems ensure more precise and reliable operation of optical fiber systems in challenging environments, opening up new possibilities for their application in telecommunications, industrial automation, sensors, medicine, and security systems. The project is relevant in light of the current challenges facing the telecommunications and laser industries. Optical communication lines form the foundation of digital infrastructure and support all areas related to digital technologies. Increasing volumes of transmitted data require the development of new technologies, which necessitates considering nonlinear and noise effects. The operation of many fiber laser systems is also associated with nonlinear effects, such as the Kerr effect, Raman scattering, and Brillouin scattering. On the one hand, these effects can be useful, for example, for mode locking in pulsed lasers, but on the other, they can lead to instability and destabilize the system. Machine learning methods, particularly new neural network algorithms of various architectures, can play a key role in managing this nonlinearity, said Mikhail Fedoruk.

The project aims to address the scientific challenge associated with the complexity of analyzing, modeling, and managing nonlinear and random processes in photonics, a key area of modern science and included in the list of cross-cutting technologies of the NTI Platform. Using machine learning methods to study nonlinear effects and their manifestations in the presence of random processes opens up new opportunities for improving the performance of photonic systems and creating new solutions.

"The 'Machine Learning for Applied Problems of Nonlinear Photonics' project is interdisciplinary. It was launched at the initiative of NSU and brought together the efforts of two research groups—applied mathematicians and laser physicists. The first group is affiliated with NSU, and the project's main contributors—Oleg Sidelnikov, Anastasia Bednyakova, and Alexey Redyuk—graduated from NSU's Faculty of Mathematics and Mechanics and defended their theses and then their PhD dissertations under my supervision. The second group represents Ulyanovsk State University. It is led by Andrey Fotiadi, a recognized expert in nonlinear fiber optics, fiber lasers, and sensors and a PhD candidate in physics and mathematics. Both groups are focused on modeling in two main areas. The first focuses on machine learning methods in lasers and nonlinear photonic systems, while the second focuses on machine learning methods and nonlinear technologies in optical communication lines," said Mikhail Fedoruk.

Interdisciplinary approach

Universal methods for analyzing nonlinear systems still lack a single approach, but solving many applied problems in this field requires new approaches, making the importance of this research increasingly relevant. Improving the performance of existing systems and developing new engineering concepts requires understanding and correctly interpreting nonlinear effects and their interaction with random noise. Using machine learning methods to study nonlinear effects and their manifestations in the presence of random processes opens up new opportunities for improving the performance of photonic systems and creating new solutions.

"Machine learning algorithms can adapt to changing conditions and efficiently process large volumes of data, extracting hidden dependencies and enabling real-time system performance improvement. This interdisciplinary approach, combining photonics and machine learning, enables the development of new methods for analyzing, optimizing, and controlling nonlinear processes, leveraging both the high-speed signal processing in optical systems and the ability of machine learning to discover and exploit hidden information," explained Mykhailo Fedoruk.

Smart photonics

The project team combines the expertise of two research groups, which is essential for the successful implementation of the project, namely, the development of machine learning algorithms and the creation of smart photonic devices using them. As part of this collaboration, a group of laser physicists with expertise in developing modern nonlinear and microwave photonic devices will develop functional devices and control tools. These devices will serve as testbeds for new original mathematical algorithms being developed by a group of NSU applied mathematicians with experience in modeling physical systems and applying machine learning methods to their optimization and control. The synergy between these two areas will enable not only the development of new mathematical apparatus for machine learning but also the creation of new photonic devices for real-world applications, offering fundamentally new consumer characteristics over existing analogs.

The project partner's contribution will consist of conducting preliminary laser testing experiments with the aim of transferring the results necessary for the development and testing of machine learning algorithms to the NSU team, as well as developing and implementing additional electronic control systems for the lasers' operating mode, which are necessary for the joint operation of photonic devices with trained algorithms.

Machine learning

As part of the project, the NSU team, led by Mikhail Fedoruk, will conduct a wide range of theoretical and numerical studies, which will be divided into two main research areas: "Machine Learning Methods in Lasers and Nonlinear Photonic Systems" and "Machine Learning Methods and Nonlinear Technologies in Optical Communication Lines."

The first area of focus will involve the development of neural network algorithms based on recurrent neural network architectures, transformer architectures, and reinforcement learning algorithms for implementing optoelectronic feedback in fiber laser systems. To stabilize radiation generation and control its key frequency-temporal and spectral characteristics, optoelectronic feedback based on machine learning algorithms will be implemented in fiber laser configurations. Further analysis of laser radiation using the nonlinear Fourier transform (NFT) is planned. The second area of focus involves the development of a compensation scheme for dispersion and nonlinear effects based on deep convolutional neural networks. This will be followed by the integration of approaches based on digital backpropagation and signal processing algorithms based on perturbation theory to compensate for nonlinear distortions.

Neural network algorithms

During the first year of the project, the scientists achieved important results in both of its main areas. In developing machine learning methods for lasers and nonlinear photonic systems, they conducted a range of theoretical, numerical, and experimental studies aimed at creating neural network control algorithms for a single-frequency fiber laser with an external ring resonator. They developed and implemented models based on long-short-term memory (LSTM) and transformer neural network architectures, which allow predicting the control voltage of a thermo-optical phase shifter based on a photodetector signal, simulating the behavior of a classic PID controller.

"We continued exploring new applications of NFT for analyzing optical fields in dissipative media. We considered the House-Ginzburg-Landau equation (HGLE) as an important example used for modeling laser resonators. As a result, we investigated the dependence of the generation mode type on the HGLE parameters—saturation energy and saturation power. We identified the ranges of parameter values in which HGLE solitons are close to those of the nonlinear Schrödinger equation, and demonstrated that in this case, the dynamics of a field obeying the HGLE can be described with high accuracy using only a discrete spectrum. For single-pulse modes, we described in detail the stages of generating a single-soliton solution from noise, and demonstrated the relationship between these stages and qualitative changes in the discrete spectrum parameters," explained Mikhail Fedoruk.

Neural network

Equally effective were the studies conducted within the "Machine Learning Methods and Nonlinear Technologies in Optical Communication Lines" program. A deep, complex-valued convolutional neural network was developed for modeling the propagation of optical signals in a wavelength-division multiplexed fiber communication line.

"The architecture of this network simulates the method of splitting into physical processes and is based on coupled nonlinear Schrödinger equations. We also studied the impact of key neural network model parameters on modeling accuracy, including the width of convolutional and nonlinear filters, as well as the number of layers per fiber span. We developed and tested an effective approach to network training based on pre-optimization of convolutional filters to compensate for chromatic dispersion. The obtained results demonstrate high accuracy in modeling signal propagation over long communication lines and confirm the applicability of the proposed architecture to the analysis and optimization of fiber-optic systems with wavelength division multiplexing," explained Mikhail Fedoruk.

Prospects

The scientist emphasized that the practical application of the obtained results will improve the efficiency of fiber-optic communication lines, which forms the basis for the development of high-speed data transmission infrastructure, which is strategically important for the connectivity of the Russian Federation. The continuous implementation of new telecommunications and laser technologies, including the use of machine learning methods proposed in the project, facilitates the development of strategic areas such as the transition to advanced digital and intelligent manufacturing technologies, the creation of systems for processing large volumes of data, machine learning, and artificial intelligence. The project's results can find practical application in several strategically important sectors of the real economy. Solving the problem of transmitting growing volumes of information directly impacts the development of new government digital services, the advancement of science and new technologies, as well as many other areas of industry, business, and everyday life.

Please note: This information is raw content obtained directly from the source. It represents an accurate account of the source's assertions and does not necessarily reflect the position of MIL-OSI or its clients.

NSU celebrated Maslenitsa with folk games, pancakes, and round dances.

Translation. Region: Russian Federation –

Source: Novosibirsk State University –

An important disclaimer is at the bottom of this article.

On February 21, the traditional Maslenitsa festival took place at the main building of Novosibirsk State University. Students, faculty, and guests participated in folk games, master classes, and musical performances, and enjoyed pancakes and hot tea.

The celebration began with a Maslenitsa procession around the buildings of the university's new campus. Participants in folk costumes performed traditional songs, after which a festive program unfolded on the square in front of the main building, featuring round dances, competitions, and folklore performances.

According to Elena Krasilova, Head of the Department of Youth Policy and Educational Work at NSU, the university's Maslenitsa has a long history and has become one of the enduring traditions of student life:

"Maslenitsa has been celebrated at NSU for several decades and has deep roots thanks to the university's folklore groups, KrAsota, and the Semyonov Den ethnoclub. This year, the youthful games with the Voivode and Maslenitsa were particularly memorable: a banya with brooms in the snow, tug-of-war, and a wall-to-wall contest. At the end, the participants fraternized and passed around a bowl of kind words. Many heartfelt wishes were offered—manly restrained and at the same time very touching," she said.

The event was organized by teams from the NSU Youth Policy Department (artistic director Ekaterina Buyanova) and the Semyonov Den ethnic club. The university's student clubs also participated in the preparation and execution of the event.

The NSU Handicrafts Club held a workshop on making amulet dolls from thread. Students from the NSU Faculty of Mechanics and Mathematics have been helping guests craft dolls from scraps of fabric for three years now. They began this project as part of their "Fundamentals of Project-Based Activities" course, and have been part of the Maslenitsa organizing team for three years now.

"These master classes are very popular; there are always plenty of students eager to make something with their own hands. Even temperatures of around -20°C didn't discourage the participants," noted Elena Krasilova.

Participants of the kvARTira theater studio performed as buffoons and peddlers: guests could receive a pancake or a lollipop for a song, poem, proverb, or ditty.

The sports portion of the program was prepared by the Modern Sword Fighting Club and the "ENOT" student sports club. Guests had the opportunity to participate in folk competitions, including felt boot throwing, stick horse racing, and duels in special equipment.

Particular attention was paid to the international participation in the celebration. The NSU Interclub and the Novosibirsk Association of International Students presented a dance program, reminding us that winter farewell traditions exist in many cultures around the world.

According to Anastasia, a participant in the festival, Maslenitsa also became a platform for students from different countries to connect:

"Maslenitsa is an incredibly important holiday for our culture. It's a truly vibrant event: there are circle dances, pancakes, and tea. Most importantly, it's a place where you can meet foreign children, talk with them, and immerse them in our culture. It's a truly unifying experience—one of fun, traditions, and celebration. It's simply impossible to celebrate such a day without a splash of color," she shared.

In addition to NSU students and staff, guests from other educational institutions took part in the celebration: the folklore ensemble "Okolitsa" from SUSPS, the creative association "Capital of Siberia," and students from the Novosibirsk Regional College of Culture and Arts.

According to the organizers, university Maslenitsa helps preserve Russian folk traditions and the living language, and brings together different generations. Students, faculty, and young families with children attend the celebration every year:

"Maslenitsa showcases the beauty of our customs and helps us preserve family values. It's a holiday that truly brings people together," Elena Krasilova emphasized.

Photo: Nikita Legkov, Pavel Kokanov, NSU Photo Club

Please note: This information is raw content obtained directly from the source. It represents an accurate account of the source's assertions and does not necessarily reflect the position of MIL-OSI or its clients.

SPbGASU graduates are in-demand specialists: almost 88% were employed by the end of 2024–2025.

Translation. Region: Russian Federation –

Source: Saint Petersburg State University of Architecture and Civil Engineering –

An important disclaimer is at the bottom of this article.

The Saint Petersburg State University of Architecture and Civil Engineering has announced employment outcomes for graduates of the 2024–2025 academic year. Statistics confirm that university graduates are in demand in the labor market and successfully build professional careers within the first few months after receiving their diploma.

High employment rate

In the 2024–2025 academic year, the university graduated 2,416 specialists in undergraduate, specialist, and master's degree programs. Of these, 2,120 were employed, representing 87.7% of the total number of graduates.

Furthermore, 615 graduates continued their education, choosing master's, doctoral, and other forms of academic development. This demonstrates the young specialists' commitment to professional and academic growth.

Information on the employment of graduates for each educational program that has graduated 

Internship is the foundation for a professional start. One of the key factors for a high level of employment is the practice-oriented format of training. During their studies, students complete academic, on-the-job, and pre-graduation internships at specialized organizations in the construction, architecture, and design industries.

Job offers often arrive while students are still completing their internships. Employers note students' readiness for real-world professional work, their ability to work with modern technologies and regulations, and their ability to collaborate effectively in a team.

Project-based elective and work with real-world problems

A significant role in the formation of professional competencies is played by project-based electiveStudents work on real-world cases, solve engineering and architectural problems, interact with industry representatives, and master modern software systems.

This training model allows the educational process to be as close as possible to the conditions of the professional environment and to develop in graduates the practical skills sought after by employers.

Partnership with the Professional Community: The University is developing collaboration with specialized companies and organizations in the construction industry. Joint projects, internships, and employer participation in educational events and state final assessments ensure a strong connection between education and industry.

The high employment rate confirms the quality of specialist training and the relevance of educational programs. SPbGASU graduates confidently begin their careers and successfully realize their potential in the professional world.

Please note: This information is raw content obtained directly from the source. It represents an accurate account of the source's assertions and does not necessarily reflect the position of MIL-OSI or its clients.