Category: Новосибирский государственный университет

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Source: Novosibirsk State University –

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A student has created an intelligent robotic arm for the automatic harvesting of tomatoes in industrial greenhouses, which can distinguish ripe fruits from unripe ones. Faculty of Information Technology, Novosibirsk State University Anton Vlasenko. His robot is capable of analyzing the ripening time of different tomato varieties and harvesting only ripe ones. It leaves unripe ones on the bushes and returns to them as they ripen. The young researcher is currently testing his device at home, and plans are underway for industrial testing at the Tolmachevsky greenhouse complex, for which a preliminary agreement has already been reached.

We used computer vision algorithms to analyze the condition of the fruit and make decisions. The system also incorporates ultrasonic sensors. They help the robot estimate the distance to objects and avoid collisions. To prevent the robotic arm from accidentally crushing tomatoes when picking them from the branches, we equipped the device with sensors that regulate the force of compression. An interesting aspect relates to the "time to harvest" algorithm itself. We don't simply classify tomatoes as "green" or "red," but rather attempt to estimate how many days remain until the optimal harvest. To do this, we use color channel and saturation data. Using this data, the system predicts the harvest time. This will allow us not only to harvest the fruit "here and now," but also to plan when exactly to dispatch the robot to a specific plant. Our robotic arm doesn't simply determine the overall color of the tomato, but divides its image into a grid, like a chessboard. Each cell is analyzed individually based on the fruit variety, separating out areas that are red, green, or yellow. This way, the system understands whether the fruit is ripe, partially ripe, or still green, and then predicts the optimal time for harvesting, explained Anton Vlasenko.

To detect objects, the young researcher used the YOLOv8 (Ultralytics) core neural network in his development. It finds the bounding boxes of tomatoes in the frame. The robot's software is written in Python. The OpenCV (cv2) computer vision library handles several tasks: reading the video stream from the camera, image transformation (HSV, LAB), and creating color masks. Numerical calculations—channel averages, array operations, and pixel counting in masks—are performed using the NumPy library. An Orange Pi 5 controller powers the stepper motors and control drivers. This allows the robotic arm to receive tomato coordinates from YOLO, convert them into angles for the servo motors, and then pick the fruit.

The manipulator itself was manufactured using 3D printing. It consists of a gearbox, arm segments, brackets, and a gripper. A total of 115 parts were manufactured. After printing, each one underwent meticulous post-processing. A significant portion of this work was performed by the project's second participant, Yakov Gubarev, a student at the Siberian State University of Geosystems and Technology. Supports had to be removed from each part, contact surfaces had to be manually sanded, mounting holes for fasteners had to be drilled, and the accuracy of the mounting surfaces had to be verified.

"While working on printing the manipulator parts, we encountered a serious problem. It's a fairly large structure—if its "arm" is fully extended, it's about 1.5 meters long. Our existing printer couldn't handle this. We started looking for alternatives, and it turned out that printing ready-made 3D models would cost us more than a new printer with the capabilities we needed. So we had to buy a new 3D printer," said Anton Vlasenko.

The manipulator is currently assembled, and the young researchers will now fine-tune its motion and then assemble a mobile platform that will allow the robot to navigate between rows in greenhouses. After that, they will be able to move on to pilot testing in real-world conditions. Anton Vlasenko will defend his master's thesis, which will be the basis for his project. He also plans to submit it to a student startup competition.

The idea to create a robotic manipulator for this task came to me at a hackathon held by TRK. One of the tracks was to create a small robot that would use computer vision to pick certain types of fruit. The task wasn't difficult—we just needed to make sure the robot touched the fruit it had selected. Later, we decided that it would indeed be a good idea to create a robot that could pick tomatoes in industrial greenhouses. After speaking with Sergei Evgenievich Lozhnikov, the former director of the Tolmachevsky greenhouse complex, we learned that there was a real need for automated harvesters. Currently, this process is done manually, but there's a labor shortage, which is becoming a serious problem for greenhouse complexes. Our idea to create a robot that could perform this task found support, and we got to work. First, we studied existing robots, and then began considering which architecture to use to more effectively harvest tomatoes, as well as planning for future development. In the future, we plan to adapt our tomato picker to other vegetable crops, Anton Vlasenko shared his plans.

Material prepared by: Elena Panfilo, NSU press service

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.

Translation. Region: Russian Federal

Source: Novosibirsk State University –

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Over the course of several days during physical education classes, students ran around the campus and the adjacent forest with a map, searching for checkpoints at which they had to register with an electronic tag. The boys' task was to find 14 checkpoints, while the girls had to find 12 of the 15 checkpoints located on the ground.

Among 2nd-3rd year students, the best results were shown by: 1st place – Dmitry Alimov (Physics Faculty) and Ulyana Chichaeva (Engineering Faculty) 2nd place – Yaroslav Myasnikov (Global Geography Faculty) and Sofia Smirnova (Engineering Faculty) 3rd place – Alexander Biryukov (FIT Faculty) and Vlada Bykova (Engineering Faculty) Among first-year students, the guys from the Physics Faculty, Ivan Vlasov, Bogdan Nikolaenko and Fedor Romanov, distinguished themselves, showing the same result and sharing first place.

The first-year girls were in the lead:

Darina Zelenkova (MMF) – 1st place Alesya Patrina (FEN) – 2nd place Anna Korobitsyna (FEN) – 3rd place

Congratulations to the winners on their excellent results! We thank all the students for their participation and KaffaFV faculty members Sofia Zakharova, Andrey Tolstov, and Grigory Oparin for the excellent organization of the event.

All results are on the page: HTTPS: //vk.kom/port_nsu

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Source: Novosibirsk State University –

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From September 24th to 26th, the 26th All-Russian Scientific and Educational Forum "Mother and Child"—the most significant annual event for all obstetricians and gynecologists in the country—was held in Moscow. The forum brought together 5,600 specialists in person and 6,800 online from 226 cities and 13 countries, including Russia. Current issues in obstetrics and gynecology, gynecological endocrinology, perinatology, reproductive medicine, pediatric and adolescent gynecology, ultrasound, and laboratory diagnostics were discussed daily in the forum's 10 halls.

Novosibirsk State University and the Professor Pasman Clinic, a long-standing partner of the university, prepared three presentations:

1. Pre-pregnancy preparation, management of pregnancy and childbirth with a history of recurrent thrombosis (Pasman N.M., Drobinskaya A.N., Dudareva A.V., Shaklein A.V., Rogov N.V., Wagner Yu.N., Dmitrieva O.V., Kolesnikova A.V., Pis'mak M.A.) – together with the team of the maternity hospital of the 1st City Clinical Hospital.

2. Extragenital forms of endometriosis. Surgical treatment. Prevention of relapses (Kramskoy V.G., Sokolov A.V., Pasman N.M., Veretelnikova T.V.) — in collaboration with the 1st City Clinical Hospital.

3. Asherman's syndrome: diagnosis, treatment, pre-pregnancy preparation (Veretelnikova T.V., Pasman N.M., Pronicheva S.V., Selyunina N.A.).

Also speaking at the forum on behalf of NSU and the Regional Clinical Hospital was Alla Drobinskaya, Head of the Regional Perinatal Center, Chief Anesthesiologist-Resuscitator in Obstetrics, PhD, Associate Professor in the Department of Obstetrics and Gynecology at the Institute of Medicine and Medical Technologies at NSU. Her presentation was titled "HELLP Syndrome from the Perspective of an Obstetric Anesthesiologist."

At the traditional competition for young scientists, held as part of the Forum in English, the results of a 6th-year student's research were presented. Institute of Medicine and Medical Technologies of NSU Sofia Shiffon "Transcriptome analysis of stage-dependent molecular changes in endometriosis of various localizations."

The research was conducted at Professor Pasman's Clinic, using endoscopic procedures performed by Tatyana Vladimirovna Veretelnikova, and in the Cell Technologies Laboratory of the Research Institute of Fundamental and Clinical Immunology (RIFI). The research was supervised by Elena Removna Chernykh, MD, Professor, Corresponding Member of the Russian Academy of Sciences, and Deputy Director of RIFI. A total of 100 applications were submitted to the competition, and Sofia Shiffon's work took third place.

In our work at the Cellular Immunotherapy Laboratory at the Research Institute of Physical Culture, Infection, and Clinical Infection, we comprehensively examined molecular changes in endometriosis—a chronic gynecological inflammatory disease—at various stages. In our experimental work, we studied how patients' peritoneal fluid influences the phenotype of immune cells. We also conducted a multiplex analysis of 27 cytokines in the peritoneal fluid, identifying specific biomarkers for each stage.

My task was to supplement these experimental data with a bioinformatics experiment: transcriptomic (histology sequencing) profiling of endometriosis tissues. I analyzed 408 samples from 162 patients using differential gene expression and coexpression network construction. This allowed me to identify molecular changes occurring at different stages and locations of endometriosis, as well as validate the data obtained in the laboratory experiment," explained Sofia Shiffon.

Endometriosis affects approximately 10% of women of reproductive age, but is diagnosed on average 7-10 years after the onset of symptoms. Endometriosis symptoms significantly impair patients' quality of life. Existing hormonal therapy is not effective for all patients, and after surgical treatment, the recurrence rate reaches 40-50% within five years.

This study, conducted by NSU in collaboration with Professor Pasman's Clinic and the Research Institute of Physical Infection and Clinical Clinical Infections, opens up new possibilities for targeted immunotherapy, minimally invasive diagnostics, and provides new insights into the mechanisms of disease development.

Speaking about the success factors that enabled her to win the competition, Sofia noted that the key was the integrative approach, which combined several levels of analysis: from functional experiments with living cells to bioinformatic analysis of the transcriptome and the identification of biomarkers in biological fluids.

"The use of network analysis (WGCNA) allowed us to identify not individual genes, but functional modules reflecting key pathophysiological processes—from lesion implantation to metabolic adaptation and immune escape. Importantly, the results have clear translational potential: they point to specific therapeutic targets and biomarkers that can be validated for clinical use. Undoubtedly, the scientific supervision of Elena Removna Chernykh and Natalia Mikhailovna Pasman also played a decisive role. Thanks to them, I mastered the methods of systems immunology and learned to connect fundamental research with the clinical practice of a gynecologist," emphasized Sofya Shiffon.

Congratulations to Tatyana Vladimirovna, who represented NSU and the clinic with dignity, on her brilliant performance, and to Sofia Shiffon on her victory. We wish them continued creative success!

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.

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Source: Novosibirsk State University –

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September 30th Faculty of Information Technology The final round of the TE AI HACK 2025 AI hackathon, timed to coincide with the faculty's 25th anniversary, was held at NSU's Faculty of Information Technologies (FIT). Over the course of two days, 19 teams of students and schoolchildren worked on solving cases related to the use of AI agents in business processes.

The hackathon was organized by the NSU Institute of Information Technologies and True Engineering. It was the first time the event was held, and over 60 people participated.

According to Anastasia Surkova, a fourth-year student at the NSU Faculty of Information Technologies and one of the organizers, the emphasis was on product development: “We wanted the students to understand the potential client’s goals and create not only a working prototype, but also a complete product that could be presented.”

The teams worked on two tasks: the first was "smart search," a service that uses an AI agent to transform users' informal queries into formal language and find the necessary information in a knowledge base. The second was document comic book transformation, a solution that transforms textual information into visual stories.

The geography of the participants turned out to be broader than the organizers expected: among the contestants were students from the Faculty of Information Technology, the Faculty of Mechanics and Mathematics (FMM) of NSU, the Institute of Intelligent Robotics (IIR) of NSU, NSTU, RANEPA, as well as Novosibirsk high school students.

"We expected the hackathon to be primarily for our students, but in the end, we had students from various universities and even schools. This is great: it means there's genuine demand for such events," noted Anton Chumak, a fourth-year student at the NSU Faculty of Information Technologies and one of the hackathon's organizers.

Thirteen teams advanced to the final defense. In the finals, the participants presented their projects to experts from the IT company True Engineering. According to the jury, they were particularly impressed by the uniqueness of the cases and the teams' dedicated work.

TE AI HACK 2025 Winners: 1st place — Team Hedgehog (Ilya Karakulin, NSU Institute of Intelligent Robotics; Yulia Vyaznikova, Ilya Pereverzev, and Bogdan Martynov, NSU Faculty of Information Technologies); 2nd place — Team bebryata (Pavel Ivankov, Semyon Denisov, NSU Faculty of Information Technologies; Mikhail Borovets, NSU Faculty of Applied Mathematics and Informatics); 3rd place — Team False Engineering (Maria Shipaeva, NSU Faculty of Information Technologies; Alexander Bondarenko, Bogdan Afanasyev, NSU Faculty of Mathematics and Mathematics).

All participants received prizes—merch from True Engineering and NSU—and the best teams were added to the company's talent pool. This means they will receive priority for internships and interviews.

The organizers noted that the hackathon atmosphere was intense but inspiring: "We worked very hard, and it wasn't just an event for the sake of it, but a real-life experience of interacting with a company. It was a tremendous experience for the students," shared Anastasia Surkova.

True Engineering also positively assessed the first experience of holding a hackathon together with NSU and expressed its readiness to continue the collaboration.

NSU's Faculty of Future Technologies celebrated its 25th anniversary in the true spirit of a faculty of future technologies: creating new solutions and uniting the university, industry, and talented students.

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Source: Novosibirsk State University –

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A prototype of the world's first medical decision support system, the "Digital Physician Assistant 'Dr. Pirogov,'" was developed by scientists at the Research Center for Artificial Intelligence (AI Center) of Novosibirsk State University. It is based on a hybrid technical solution combining neural and semantic networks. The digital physician assistant contains information on 250 major diseases. This number will increase in the future, as the system will be expanded to include information on additional pathological conditions. Information on these conditions is currently being systematized and verified. The developers used a hybrid approach combining neural network methods and a specialized knowledge graph, ANDSystem, to ensure the interpretability of decisions. The prototype was created using research and development conducted at the Institute of Cytology and Genetics of the Siberian Branch of the Russian Academy of Sciences.

– Developing the Doctor Pirogov system, we set ourselves the task: to reduce the routine load on the doctor and reduce the duration of the patient without loss of quality. This system is also able to provide consulting support and support medical decisions in the provision of primary medical care in a wide range of medical directions, which is especially relevant with the current deficiency of narrow specialists in remote and sparsely populated regions. Our “Doctor Pirogov” allows the patient’s interactive survey. We plan to implement both voice and visual interface. The system “studies” medical documentation, analyzes clinical information and instrumental research, evaluates laboratory indicators and results of genetic testing. She does all this, relying on the semantic columns of knowledge, built on the basis of an analysis of the knowledge contained in its basis of medical and scientific literature. The results of the work of the Doctor Pirogov system are a list of probable diagnoses on pathophysiological justifications, a list of necessary additional examinations, therapy recommendations taking into account drug interactions, and recommended personalized preventive measures for each particular patient. At the moment, we have created a prototype of the system, the main functions of a digital assistant have been successfully worked out, ”said the leading researcher, project manager at the NSU Artificial Intelligence Center, the head of the laboratory of artificial intelligence and large genetic data ICIG SB RAS, and the head of the computer proteomics ICIG, Vladimir Ivanisenko.

The Doctor Pirogov system combines knowledge across 20 medical specialties, including internal medicine, cardiology, endocrinology, neurology, gastroenterology, infectious diseases, pediatrics, oncology, psychiatry, dermatology, hematology, nephrology, rheumatology, and others. This allows it to be used as a universal digital assistant for general practitioners, emergency physicians, and specialists.

The developers of the Doctor Pirogov system are confident that the digital physician assistant will be extremely useful in rural areas where paramedics see patients. It will assist these medical professionals in making treatment decisions and referring patients to diagnostic centers for additional testing or to other medical facilities for specialized care. Doctor Pirogov can be used for preliminary patient interviews in pre-hospital care settings and to support the physician during appointments. Patients can enter their personal information, complaints, and test results while waiting for their appointment—the user-friendly interface ensures a seamless experience. Based on the patient's initial information, the system will generate a list of possible conditions, ranked by risk. During the appointment, the physician will then conduct further interviews to confirm the diagnosis, if necessary, and Doctor Pirogov will recommend additional tests and treatment options. The physician decides whether to follow these recommendations.

"Doctor Pirogov" will be an assistant to healthcare professionals. It won't replace doctors, but it will significantly facilitate their work. When used in pre-hospital care settings, it will conduct an initial patient interview and analyze existing clinical data, issue a referral for lab tests or a doctor's appointment, including a recommendation for a specialist. This will allow for efficient patient flow, ensure preliminary triage and routing, and reduce the workload of community healthcare workers. Supporting the doctor during appointments is equally important. Here, our system will expedite the processing of patient complaints, their test results, and other clinical data. Supporting clinical decision-making based on a database of medical and scientific knowledge is also crucial. This will reduce the duration of patient appointments without sacrificing quality and reduce the risk of diagnostic errors. "Doctor Pirogov" will be especially useful for doctors in rural and remote areas. It will be able to provide consulting support in many medical specialties where specialist availability is limited and analyze lab data, instrumental examinations, and medical records. This will improve the quality of initial diagnosis and treatment, reduce the need to refer patients to the district center, and reduce the workload of rural doctors thanks to the AI system's interpretation of complex clinical data, explained Vladimir Ivanisenko.

It took scientists from Novosibirsk State University and the Institute of Cytology and Genetics SB RAS 10 years to create the semantic network embedded in the Doctor Pirogov system. This work was conducted at the Institute of Cytology and Genetics SB RAS under the leadership of Academician Nikolai Kolchanov. The developers were tasked with finding pharmacological targets and developing drugs for a number of common diseases. They needed to determine which gene a specific drug targets and then, based on this information, develop the chemical structure of the drug.

– A person has about 20 thousand genes, they interact with each other. At the same time, one gene is able to suppress or increase the activity of another. Depending on this, they can react differently to a particular drug. To solve the problem of choosing targets for the action of the medicine, it is necessary to determine which genes are associated with a certain disease and how these genes interact with each other. It was obvious to us that it was impossible to do without the help of artificial intelligence in this situation, so we began to build a semantic network. Its difference from the neural network is, when teaching neural networks, knowledge is distributed through the so -called Libra in the form of some numbers. To make the methods of AI interpreted, it is necessary to distribute the knowledge gained in training in the form of semantic networks. We had 20 thousand genes, each of them became a peak, and facts – about 30 thousand diseases. Between them are the ribs – relationships. Our system was supposed to take into account everything – risk factors, the influence of the external environment, mutations in genes, the physiological parameters of the body. All this information was contained in 50 million scientific publications. One person working 8 hours a day and spending 2 minutes on reading one article would take 300 years to perform this work. Every year, an average of 1.5 million publications appear. In this work, to extract facts from the texts, we involved neural networks, applying a thin tuning method to them, for which 25 thousand rules were previously manually registered. As a result, a semantic network was built, where about 40 thousand facts of the ratio of genes and symptoms with various diseases were installed, ”said Vladimir Ivanenko.

A large team of researchers was involved in this large-scale project. Students from NSU and other Novosibirsk universities also contributed to the creation of the semantic network of the specialized ANDSystem knowledge graph. Under the supervision of Vladimir Ivanisenko alone, 40 student papers were written. Each year, 10-12 students participated in the work as part of their summer internship. Six PhD dissertations were defended, and over 150 scientific articles were published, devoted to the analysis of various diseases using this information extraction method. Initially aimed at solving scientific problems, the developers later decided to adapt it for practical medicine. A semantic network, unlike the human brain, can store and, if necessary, retrieve a much larger volume of information about medications and their compatibility with each other, side effects and contraindications in the presence of comorbidities, and much more. The use of AI will help avoid errors in prescribing medications, determining patient management strategies, and their rehabilitation. Currently, there are no analogues of this system in the world, and only four similar systems are known that perform scientific tasks in the field of genetics.

The digital physician assistant's functions have now been successfully tested, and the developers of Doctor Pirogov are now faced with the task of implementing it on a large scale. To achieve this, it is necessary to obtain the appropriate permitting documentation for classification as medical software, register with Roszdravnadzor, and obtain an assessment of compliance with the requirements of the EAEU Technical Regulation and Standard 047/2018. Systematic solutions at the Russian government level are also needed: the creation of a regulatory sandbox for testing AI in clinical practice, a simplified registration procedure for AI-based medical solutions subject to physician oversight, and the development of Methodological Recommendations from the Russian Ministry of Health for integrating digital assistants into primary care. Once all these steps are completed, medical facilities will need to retrofit their offices with computerized workstations for patient-doctor interaction with the AI.

Clinical trials of the Doctor Pirogov system will begin next year. Internal verification of its scientific validity is currently underway.

Material prepared by: Elena Panfilo, NSU press service

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.

Translation. Region: Russian Federal

Source: Novosibirsk State University –

An important disclaimer is at the bottom of this article.

On October 2, the scientific and practical conference “Technological Sovereignty Begins with Us,” dedicated to the 25th anniversary, was held in the conference hall of the new NSU classroom building. Faculty of Information Technology (FIT) of NSUThe event brought together students, faculty, researchers, and the faculty's partners. The conference addressed the development of domestic IT technologies. A ceremony celebrating the faculty's anniversary was part of the conference.

The scientific and practical conference began with a presentation by Mikhail Lavrentyev, Dean of the NSU Faculty of Information Technologies and Corresponding Member of the Russian Academy of Sciences, who discussed the faculty's history, development, and key achievements.

"On a day like this, I certainly want to remember Vladimir Ivanovich Nifontov, the founding dean of the Faculty of Information Technology. At the initiative of NSU Rector Nikolai Sergeyevich Dikansky, he took on a difficult task: he founded our faculty, which is still growing, on the premises of the Faculty of Engineering at the NSU Higher College of Informatics. Thanks to Vladimir Ivanovich, the Faculty of Information Technology is currently growing and developing. Another dean who made a significant contribution to the development of our faculty was Corresponding Member of the Russian Academy of Sciences Anatoly Mikhailovich Fedotov; it was always comfortable and pleasant to work with him," said Mikhail Lavrentyev.

According to SuperJob, NSU's Faculty of Information Technologies ranks 7th in Russia for graduate salaries. It is also among the top 301–350 universities in the Computer Science category.

"This year, the competition for the faculty's graduate program is 2.5 applicants per place, which demonstrates that graduate school has become popular among IT specialists. I'm pleased to announce that our dissertation defense council for technical sciences has been established. Only a few universities have been authorized to award academic degrees. Our university joined this cohort, and our council began its work this year. Three dissertation defenses have already been held, and a fourth is being processed," emphasized Mikhail Lavrentyev.

In total, the Faculty of Industrial Technologies (FIT) has over 300 faculty members, 185 of whom are company directors and leading IT specialists. The faculty collaborates closely with businesses: four joint laboratories currently operate at the Faculty of Industrial Technologies (FIT): SberLab NSU, Shift Lab, YADRO Laboratory, and PGLab. To further foster fruitful collaboration with partners, the university has established the honorary titles of "Industrial Professor" and "Industrial Associate Professor." These titles enable company representatives to obtain associate professor positions at the university without holding an academic degree.

The faculty also includes many candidates and doctors of science, as well as staff members from Akademgorodok institutes. For example, the faculty closely collaborates with the A.P. Ershov Institute of Informatics Systems, the S. L. Sobolev Institute of Mathematics, the Federal Research Center for Information and Computational Technologies, and others.

"The Institute of Cytology and Genetics and the Institute of Petroleum Geology and Geophysics are particularly noteworthy in this list—two institutes that aren't specifically targeted at IT specialists. Nevertheless, we've developed fruitful collaborations with each, and each offers its own educational specializations. Students actively choose and continue their scientific and engineering careers directly at these institutes. One of the faculty's graduates, Deputy Dean for Master's Studies A.A. Vlasov, began his career at the Institute of Petroleum Geology and Geophysics, defended his dissertation in geophysics, and then returned to the university—a shining example of an interesting and successful career," added Mikhail Lavrentyev.

Later at the conference, leading IT specialists and IT company executives presented reports on topics such as technological independence, software import substitution, artificial intelligence developments, and infrastructure solutions, and also shared experiences with students from the faculty. Speakers included representatives from SberTech, SoftLab-NSK, Data East, Exposoft, and others.

The ceremony, dedicated to the 25th anniversary of the faculty, began with a speech by NSU Rector and RAS Academician Mikhail Fedoruk:

"I am pleased to be here at the Faculty of Information Technology's celebration. As many of you know, the Faculty of Information Technology emerged during the era of faculty formation, under Nikolai Sergeyevich Dikansky. On this day, it's worth recognizing the Faculty's deans, all of whom were remarkable individuals. For example, the organizing dean, Vladimir Ivanovich Nifontov, was a poet, an artist, and a mountain climber. It's also worth remembering those who stood at the origins of computer science, two outstanding figures in Akademgorodok—Andrei Petrovich Ershov and Igor Vasilyevich Pottosin."

Importantly, the faculty maintains its growth momentum: for example, the average Unified State Exam (USE) score for the Computer Science and Systems Engineering program this year was 91.3, 1.6 points higher than the 2024 target, and for Software Engineering and Computer Science, it was 88, one of the highest scores at NSU. Considering the number of students enrolled on a state-funded basis, this is an excellent indicator for the entire university. I sincerely congratulate the faculty, wishing them prosperity and growth. We have high hopes for the development of the Faculty of Information Technologies and the IT industry in Akademgorodok. Twenty-five years is a wonderful year. It's young, vibrant, and exciting.

Vice Governor of the Novosibirsk Region Irina Manuilova joined in the congratulations:

"Twenty-five is a time when you've developed a certain confidence, a clear vision, and a passion for what you do. I want the faculty to maintain and enhance these qualities. The faculty is engaged in a task of paramount importance to the country, because training IT specialists means addressing the challenges of technological sovereignty, technological leadership in the truest sense. Without IT technologies, without working with artificial intelligence, it's unlikely we can expect any significant success. And you, future specialists, must be the first to do this. Over these 25 years, this school has developed, and it has become one of the best not only in the country but also in the world. And so I'm confident that success and a breakthrough await us. The faculty has developed a unique ecosystem where education, science, and industry, represented by IT companies, work together." This is what the founders of our Akademgorodok bequeathed to us, and I am confident that this model, which is successfully implemented today at your faculty, will continue to justify its purpose for many decades to come!

The ceremony also included awards to faculty members and partners for their work and contributions to the development of the NSU Faculty of Information Technology.

The Governor of the Novosibirsk Region awarded its awards to: Professor, Doctor of Physical and Mathematical Sciences, Deputy Dean of the Faculty of Information Technology for Postgraduate Studies Aris Savvich Tersenov and Industrial Professor of NSU, Candidate of Technical Sciences, Deputy Dean of the Faculty of Information Technology for Master's Studies Alexander Alexandrovich Vlasov.

Mikhail Mikhailovich Lavrentyev, Corresponding Member of the Russian Academy of Sciences, Doctor of Physical and Mathematical Sciences, and Dean of the Faculty of Information Technology, and Dmitry Evgenievich Palchunov, Doctor of Physical and Mathematical Sciences, and Head of the Department of General Informatics of the Faculty of Information Technology, received awards from the Ministry of Science and Innovation Policy of the Novosibirsk Region.

A certificate of gratitude from the Ministry of Science and Innovation Policy of the Novosibirsk Region was presented to Associate Professor and Candidate of Physical and Mathematical Sciences Valery Avdeevich Churkin.

Svetlana Leonidovna Zubkova, Head of the Educational and Methodological Department of the Faculty of Information Technology; Tatyana Viktorovna Nesterenko, Coach of the NSU National Team in Sports Programming and Senior Lecturer of the Department of Informatics Systems; and Vladimir Isachenko, Coach of the NSU National Team in Sports Programming and Senior Lecturer of the Department of Informatics Systems, were awarded the Certificate of Honor of the Novosibirsk City Hall.

Associate Professor, Candidate of Technical Sciences Yuri Alekseevich Zagorulko and Associate Professor, Candidate of Physical and Mathematical Sciences Aleksey Lvovich Perezhogin received gratitude from the Novosibirsk City Hall.

A letter of thanks from the Novosibirsk mayor's office was presented to associate professor and candidate of physical and mathematical sciences Olga Andreevna Kutnenko.

Professor and Doctor of Technical Sciences Vladimir Borisovich Barakhnin and Professor and Doctor of Philosophy Alexander Nikolaevich Savostyanov were awarded the Certificate of Honor of the Sovietsky District Administration for their professional successes and achievements, as well as many years of conscientious work for the benefit of the Sovietsky District of Novosibirsk.

The Sovetsky District Administration presented a certificate of gratitude to Associate Professor and Candidate of Physical and Mathematical Sciences Gulnara Erkinovna Yakhyaeva and Senior Lecturer Marina Anatolyevna Derzho.

At the end of the ceremony, the students of the Class of 2025 read a message to the students of 2050, “sealed” it in a time capsule, which they handed over to the Dean of the Faculty for safekeeping.

Events celebrating the 25th anniversary of the NSU Faculty of Information Technologies are taking place throughout this week—Programmer's Week. It includes hackathons, quizzes, a research and practice conference, a first-year student orientation, and an Olympiad. The celebratory week will conclude on October 5th with the online round of the 26th I.V. Pottosin Open All-Siberian Programming Olympiad, the largest IT event in Russia.

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.

Translation. Region: Russian Federal

Source: Novosibirsk State University –

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The 8th International Scientific and Practical Conference "EAST-FOCUS: Current Issues in the Study of History, International Relations, and Cultures of Eastern Countries" is being held at Novosibirsk State University from October 2-4. The event is dedicated to the 70th birthday of the candidate of historical sciences and professor of the Department of Oriental Studies. Humanities Institute of NSU Sergei Aleksandrovich Komissarov and Andrei Vasilyevich Varenov, PhD in History and Associate Professor of the same department, who dedicated many years of their lives to teaching and research at NSU. The anniversary couple attended the conference's opening ceremony and are actively participating in its work. The event was organized by Novosibirsk State University and the NSU Humanities Institute. Department of Oriental Studies, Novosibirsk State University, Laboratory of Oriental Studies "Orientir" of the Scientific and Educational Center "Applied and Academic Oriental Studies" of the NSU Mining Institute and Scientific, educational and cultural center "Confucius Institute" GI NSU.

Welcoming the participants of the scientific and practical conference, NSU Rector and RAS Academician Mikhail Fedoruk noted the invaluable contribution of the anniversary celebrants to the development of Oriental studies at the university.

"The university's development vector in terms of international cooperation is focused on the East. This trend has been particularly evident recently. This is evidenced by the significant number of students from these countries studying at NSU, as well as active collaboration with Chinese universities, which will only expand in the near future. Conference participants can look forward to two days of intensive work, meaningful meetings, and discussions on current issues in modern Asian studies. I am confident that this conference will be held for many years to come," said Mykhailo Fedoruk.

As Evgeny Sagaydak, Head of the NSU Education Export Department, noted, this conference traditionally brings together not only renowned scholars from Russia and abroad, but also young researchers of the East. It is here that they exchange opinions and identify areas for collaboration. This year, researchers of the East are celebrating two anniversaries.

"Today we celebrate the contributions of Sergei Aleksandrovich Komissarov and Andrei Vasilievich Varenov to Asian studies. I can say without exaggeration that Sergei Aleksandrovich introduced China to our university. He organized the trip of the first official NSU delegation to China. And today, thanks to him, NSU is one of the leaders among all Russian universities in cooperation with China. Since then, we have implemented many joint programs. Let me remind you that 14 years ago, again with the active participation of Sergei Aleksandrovich, our university opened the first joint Russian-Chinese institute," explained Evgeny Sagaydak.

Andrey Zuev, Director of the NSU Humanities Institute, emphasized the expanding geographic reach of the conference participants. He mentioned that the program is increasingly featuring speakers from various Asian studies research centers and universities not only in Russia, but also from Mongolia, China, Central Asian countries, and Israel. This year, a delegation from Myanmar is participating in the conference.

"We are pleased with the high scientific level of the conference's papers, the participation of high-level specialists representing research institutes and universities, and the interest in Asian studies among young people. This means that this field of scholarship will continue to develop successfully," said Andrey Zuev.

Professor Tserennadmid Sukhtulga of the Mongolian State Agrarian University addressed the conference participants via video link.

"From the eastern Urals to Japan and India, as well as all of Central Asia, we are still united by a common culture and history. The renowned Russian historian and orientalist Lev Nikolayevich Gumilev emphasized the importance of the alliance between the peoples of Russia and the Eastern European steppes. He argued that this alliance helped Russia resist Europe. I firmly believe that the research work of our colleagues, orientalists, will help rediscover many forgotten chapters in the history of our peoples and their cultures," said Tserennadmid Sukhtulga.

The plenary session was dedicated to the anniversary celebrants, Sergei Aleksandrovich Komissarov and Andrei Vasilyevich Varenov. Yulia Azarenko, Senior Lecturer in the Department of Oriental Studies and Director of the Confucius Institute of the Novosibirsk State University Institute of Archaeology, and Maria Kudinova, Senior Researcher in the Department of Paleometallic Archaeology at the Institute of Archaeology and Ethnography, dedicated their report to Sergei Aleksandrovich Komissarov. Ekaterina Girchenko, Candidate of Historical Sciences and Researcher in the Department of Stone Age Archaeology at the Institute of Archaeology and Ethnography of the Siberian Branch of the Russian Academy of Sciences, spoke about Andrei Vasilyevich Varenov. The celebrants themselves also spoke. Sergei Aleksandrovich Komissarov presented a report entitled "The Magic of Art Deco in Shanghai," and Andrei Vasilyevich Varenov, along with a junior researcher at the "Orientir" laboratory for Oriental Studies, spoke about the Japanese mask theater of Gigaku and its Sanxingdui roots.

On the same day, as part of the conference, an exhibition entitled "Oriental Art Objects in Everyday Life" opened, featuring artifact collections from faculty members of the NSU Institute of Oriental Studies' Department.

The conference is structured around several sections: "Modern and Contemporary History of the Countries of the Near and Far East," "History and Culture of the Countries of the East," "Buddhism in History and Modernity: Philosophy, Culture, Society," "Archaeology and Ancient History of the Countries of the East," "Language and Culture of the Countries of the East," and "Politics, Economics, and International Relations of the Countries of the East."

The conference will conclude with a master class on traditional games of the peoples of Asia, led by Elena Voytishek, Doctor of Historical Sciences, Professor, Director of the Scientific and Educational Center for Applied and Academic Oriental Studies, and Head of the Oriental Studies Department at the Novosibirsk State University Institute of Geology.

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.

Translation. Region: Russian Federal

Source: Novosibirsk State University –

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The competition took place on Sunday, September 21, for the 14th time. The intellectual battle brought together the strongest representatives of NSU faculties, the NSU Specialized Scientific Center, as well as schoolchildren and students from other universities. The event attracted over 30 participants.

Congratulations to the winners and runners-up of the NSU Individual Championship in Sports Programming:

1st place – Roman Boluts (Faculty of Information Technology, NSU, 1st year); 2nd place – Gleb Shakin (NSU Specialized Educational Center); 3rd place – Danil Aleshkov (Faculty of Mechanics and Mathematics of NSU, 2nd year).

The Olympiad lasted five hours and was conducted according to ICPC rules, but in an individual format. Participants had to solve 13 problems of varying difficulty, from basic to very complex. Three problems remained unsolved—not a single participant was able to submit them.

"The goal of the championship is to attract students to competitive programming, demonstrate how such competitions are conducted, and, of course, identify the strongest. It's a great experience that develops skills and allows you to experience the atmosphere of a real competition. It's also important that we have the support of our partners: this year, prizes for the participants were prepared by Kontur and the Novosibirsk Sobolev Research Center," explains organizer Vladimir Isachenko.

The winner of the competition is a first-year student Faculty of Information Technology of NSU Roman Boluts shared his impressions:

I've been into competitive programming since school, so I try to participate in every competition like this. It was a chance for me to test my skills and join a strong team, and it worked out. I expected to place second or third, but I ended up first—and that exceeded my expectations.

Organizers note that such competitions help students not only test their knowledge but also find like-minded people and increase interest in competitive programming at the university.

The material was prepared by: Yulia Dankova, NSU press service

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.

Translation. Region: Russian Federal

Source: Novosibirsk State University –

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Novosibirsk State University is developing lightweight, aesthetically pleasing, and functional cosmetic overlays for leg and thigh prostheses. The project received 1 million rubles in funding from the federal Student Startup competition.

The idea for the project came about in research group of biomechanics and medical engineering(headed by Vladimir Sergeevich Serdyukov), which is based at the Mathematical Center in Akademgorodok and Institute of Medicine and Medical Technologies of NSU is engaged in the development of new solutions and technologies, including digital ones, in the field of limb prosthetics and rehabilitation of amputees.

"By working with rehabilitation centers, we discovered that people with amputations want to disguise the medical appearance of their prosthetics, and existing solutions don't fully address this need—they're either too expensive, offer a limited selection of designs, or are difficult to access in Russia," said Yegor Nikolenko, a third-year student at the Faculty of Mechanics and Mathematics (FMM) and laboratory assistant at the NSU Institute of Mechanics and Mathematics (IMMT), describing the project's origins.

Currently, 3D printing is typically used to manufacture overlays. The key technological advantage of the solution proposed at NSU is its use of polyurethane casting in molds with a relief. This technology allows for faster and more cost-effective production compared to 3D printing, which positively impacts the final cost of the product. Polyurethane also offers other important advantages: it is affordable, wear-resistant, hypoallergenic, and lightweight.

Another important point: most manufacturers of similar polyurethane foam pads only offer options in a standard nude color scheme. These are designed to follow the anatomical contours of the shin and mimic the natural appearance of the leg. Colored options are also available, but they are typically made of plastic.

Work on the project began at the end of last academic year. The team currently consists of four people: third-year students at the Faculty of Mathematics and Mechanics of NSU, Yegor Nikolenko, Sofia Valieva, and Tatyana Shashkina, and a master's student at the Faculty of Mathematics and Mechanics of NSU, Danil Tishchenko. Material samples have already been purchased for strength and wear resistance testing, and work has begun on the technical concept and design of the models. The team is also actively testing materials, practicing the technology for attaching the onlay to the prosthesis, and mastering 3D modeling software.

The technological process for manufacturing onlays includes the following steps: creating a 3D model with a unique relief; producing a prototype mold on a 3D printer; casting liquid polyurethane into the mold with pigment of the desired color; polymerization; and developing a universal attachment system for the prosthesis. This simple and easily scalable technology allows for quick and cost-effective design changes.

"Our product solves two main problems. Firstly, aesthetics and psychology—visually disguising the mechanical structure and, most importantly, providing the user with a tool for self-expression through the choice of designs and colors. This reduces stigma and increases psychological comfort, allowing the prosthesis to be perceived as part of personal style rather than a medical device. This is relevant given the growing demand for customization and improving the quality of life for people with prosthetics. Secondly, it addresses functionality, meaning protecting the expensive prosthesis from external influences," added Yegor Nikolenko.

Within a year, the project will result in the creation of full-size prototypes that have been tested by patients at the Novosibirsk branch of the Moscow Prosthetic and Orthopaedic Enterprise and the Orthos Scientific and Educational Center. The developers hope that their product will be in demand both by end users—people with lower leg or femur amputations—and by orthopedic and prosthetic clinics and rehabilitation centers.

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.

Translation. Region: Russian Federal

Source: Novosibirsk State University –

An important disclaimer is at the bottom of this article.

On September 30, an awards ceremony was held in the new NSU auditorium building to honor the volunteers who helped organize and run the NSU Science Picnic on September 1. More than 50 volunteers participated in the event: volunteers assisted at partner sites and student clubs, worked in the headquarters and on stage, participated in preparing photos and videos, and organized the fire show.

"Today we have gathered to express our gratitude to the volunteers—the people without whom the NSU Science Picnic would not have been possible," noted Daria Grevtsova, a youth relations specialist.

Words of gratitude were also expressed by Svetlana Dovgal, Director of the NSU Career Development Center:

"Our school year began with excellent weather and activities. On September 1st, we all came together as a single, large group, and the Science Picnic was a shining example of this coordinated effort."

Elena Krasilova, Head of the Department of Youth Policy and Educational Work, emphasized that the contribution of every volunteer was important, regardless of how many hours they spent on the site:

"Only when we have many of us can we pull off truly large-scale and high-quality events. We believe in you, in our new volunteer team, and hope to work together to make this academic year vibrant and engaging."

She concluded:

"I'm sure that becoming a volunteer isn't a coincidence, but an inner state of mind, a need to help. They're a special category of people, and I'm happy to be here with you today."

Material prepared by: Ekaterina Mukovozchik, NSU press service

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.