Translartion. Region: Russians Fedetion –
Source: Peter the Great St Petersburg Polytechnic University – Peter the Great St Petersburg Polytechnic University –
The 1st All-Russian scientific and practical conference “Modern approaches in system engineering and digital modeling of complex production systems” (SEDM-2025) was held in the Research Building of the Polytechnic University. The event was organized by the laboratories “Industrial systems of streaming data processing” and “Digital modeling of industrial systems” of the Advanced Engineering School of SPbPU “Digital Engineering” together with the industrial partner of the SPbPU PISh, the company “Tetracube”.
The conference was dedicated to systems engineering as a methodological approach to the implementation of complex projects in various industries.
Systems engineering is a highly relevant methodological direction in the technological landscape of Russia and the world. It allows implementing complex multi-component projects both for solving frontier engineering problems in the high-tech industry and in other industries – economics, medicine or education. The methodology of systems engineering is universal: it is based on the assessment of all factors, requirements and restrictions that affect the development of the project, and is also a field for the application and development of advanced digital technologies, such as artificial intelligence or mathematical modeling, – noted the chairperson of the conference program committee, head of the Laboratory of PSPOD PISh SPbPU Marina Bolsunovskaya.
The scientific partners of the conference were the Joint Institute for Nuclear Research, Lomonosov Moscow State University, Kazan Federal University, Ivanovo State Polytechnic University and others. The event was supported as industrial partners by the Engineering Center for Textile and Light Industry, the North-West Scientific Center for Hygiene and Public Health of Rospotrebnadzor, Kola MMC, Viziumtex, Olvia and Amdor companies.
SEDM-2025 participants presented scientific research and practical solutions in the field of design, analysis, forecasting and optimization of complex systems in the economy, industry, transport, medicine, social sphere and education. The event attracted more than 200 speakers and listeners – research scientists and representatives of commercial companies and government organizations.
The conference consisted of scientific and practical parts. It was addressed both to “theorists” – specialists who study and develop the methodology of systems engineering, and to practitioners – project managers who use the method of systems engineering to solve specific applied problems at their enterprises.
The presentations were made by recognized experts in the field of studying and implementing approaches to system engineering and digital modeling, theorists and practitioners, as well as students and postgraduates who have chosen system engineering as the direction of their scientific and professional development. For young researchers, the conference became an excellent opportunity to present their research projects to experts, learn their opinions and discuss the practical application of the results.
The plenary session reports presented the main areas of research and development, which were then discussed in more detail in separate sections.
The plenary session was opened by Marina Bolsunovskaya. After welcoming remarks, she spoke about the development of the system engineering methodology using practical examples of the PSPOD Laboratory projects. The speaker noted possible directions for the development of the method and the specifics of its use in implementing complex projects at the enterprises of the laboratory’s industrial partners.
Marina Vladimirovna noted that the requests of enterprises now concern the development of optimization models to identify hidden patterns and develop specific methods for eliminating anomalies. For many customer enterprises, there are no ready-made solutions, so the development of libraries of standard solutions that will allow companies to immediately offer possible solutions for data analysis seems promising.
Elena Tishchenko, Advisor on Digital Economy to the Dean of the Faculty of Economics at Lomonosov Moscow State University, presented a theoretical report on the method of model-based system engineering (Model Based System Engineering) for synthesizing multi-level economic models. The method involves the widespread use of engineering descriptions of objects in the form of models and their platforms in the economy for analyzing complex economic systems.
Alexey Gintsyak, Head of the Laboratory of Digital Modeling of Industrial Systems at the St. Petersburg Polytechnic University, spoke about the development of a set of tools for generating schedules in production systems using a multi-agent approach. The work is being carried out with the support of the Russian Science Foundation in 2025-2026. The speaker defined multi-agent systems, highlighted the capabilities and features of the multi-agent approach to the applied task of generating production schedules, and revealed the complexity of generating schedules in a multi-agent environment. In conclusion, Alexey Gintsyak noted that taking multi-agency into account allows for obtaining modeling results that are much more adequate to reality.
The report by the head of the laboratory “System Dynamics” Angi Skhvediani was devoted to the application of methods of systems engineering in agriculture. He spoke about the current work on the platform for automatic prediction of the sorption properties of biochar obtained as a result of processing plant waste of the agro-industrial complex. The project includes the development of a database and a program for the analysis and prediction of the sorption properties of waste using machine learning methods, the development of a recommendation system for enterprises and scientists in terms of selecting optimal technological modes of waste processing to obtain functional materials with the best properties.
Associate Professor of the Higher School of Transport of the Institute of Metallurgical Engineering and Technology Dmitry Plotnikov touched upon the topic of digital modeling in the transport industry. The speaker listed interdisciplinary tasks in the development of unmanned ground transport and noted that digital models in the creation of transport systems and processes can be used as a means of supporting decision-making in the design of the life cycle of a vehicle and transport systems in general, as well as an element of the finished product that determines its operational properties. The speaker shared the experience of creating an unmanned car at the Polytechnic University and the complex tasks that the development team faces.
The conference became a platform for exchanging experience in the field of systems engineering in the transport industry, where there was a place for both experienced professionals and young scientists. Interesting works on the use of simulation modeling for effective traffic management were presented. The reports on the creation of intelligent transport systems deserved special attention, – the speaker noted.
The head of the control and audit department of the enterprise “Gorelektrotrans” Elena Ezhelina made a report on the development of a new model for managing the enterprise of ground urban electric transport for the automation and optimization of its work. One of the first steps in this direction, Elena Aleksandrovna believes, could be the automation of the management of the daily cycle of the enterprise’s work, which will require the creation of a single dispatch service.
Deputy Head of the Traffic Safety Service of Gorelektrotrans Alexey Vishensky spoke about his model for distributing tram and trolleybus drivers on city passenger transportation routes. The model is aimed at ensuring the required volume of transport services while complying with legal requirements. The number of drivers is calculated taking into account the design capacity of the fleet, working time fund, work schedules, vacations, knowledge of routes and other factors.
Anastasia Gorbach, an engineer at Radioavionika JSC, presented an analysis of technologies for implementing artificial intelligence in the process of spelling and punctuation checking using a systems approach. Traditional verification methods based on dictionaries and grammar rules are not effective enough for complex language structures. Using AI to check spelling and punctuation is part of a wider range of technologies that can be applied in the development and optimization of complex technical systems to automate and optimize documentation and communication within the system.
The most popular sections among the participants were on systems engineering in the field of economics and on digital modeling in industry and related industries. More than 40 reports were submitted for some sessions.
Teachers and students from various departments of Peter the Great St. Petersburg Polytechnic Institute, such as the Higher School of Computer Technologies and Information Systems of the IKNK, the Higher School of Project Activity and Innovations in Industry and the Higher School of Transport of the IMMIT SPbPU, the Higher School of Engineering and Economics, the Higher School of Business Engineering and the Laboratory of System Dynamics of the IPMET SPbPU, took an active part in organizing and holding the conference.
Students of the master’s program of the St. Petersburg Polytechnical University “Systems Engineering and Digital Modeling in High-Tech Industries” presented their developments in the field of systems engineering at the conference.
The conference was organized for the first time and, it must be said, exceeded our expectations. We saw great interest in the methodology of systems engineering from industrial partners and university researchers – teachers, researchers, students and postgraduates. Next year, we plan to expand the conference topics. In particular, there will be a hybrid modeling section, entirely dedicated to this promising approach within the framework of systems engineering, which allows combining classical analytics and artificial intelligence technologies, – noted Marina Bolsunovskaya.
Based on the results of the conference, a collection of papers will be published with a DOI and ISBN assigned, and full-text article-by-article placement in the Russian Science Citation Index.
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