RSE at the Russian Exhibition Institute “Institute of Mechanics and Engineering named after Academician U.A. Dzholdasbekov” of the Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan (hereinafter referred to as the Institute) was organized on October 16, 1991 for the intensive and targeted development of fundamental and applied research in the field of mechanics, mechanical engineering, and robotics in Kazakhstan.
The Institute employs 168 employees, of which the number of researchers is 147. Graduate employees make up 38.8% of the total number of researchers, of which 11.6% are doctors of science, 15% are candidates of science, 12.2% are PhD.
The Institute in its development is guided by the model of a digital scientific organization focused on the needs of the economy, which provides for the creation of a management system adapted to the requirements of the market for scientific and educational services, commercialization of the Institute’s intellectual product, digitalization of core and research activities, and continuous improvement of the quality of services provided.
The Institute’s strategy provides for improving the risk management system when mastering (implementing) new practices and technologies, including those whose results in the short term are not obvious.
The Institute will be a center of attraction for the best scientists and young people who are ready to learn, develop and work for the benefit of society, sharing the values, corporate culture and traditions of the Institute.
The main objectives of IMMash are:
– high integration of education, science and high-tech industry, focus on the development and transfer to the economy of Kazakhstan and other countries of the results of research and technology in priority areas of development of the Institute;
– the ability to carry out targeted training of scientific personnel and design engineers with the necessary competencies that allow them to generate new knowledge and technical solutions, create innovative developments for their implementation at machine-building enterprises of the Republic of Kazakhstan.
IMMash conducts fundamental and applied scientific research and development in the following areas:
– mechanics of natural and man-made processes and phenomena in the Earth;
– mathematical models and computer technologies in the mechanics of deformable solid media, rocks, soils, structures and structures, deep and ultra-deep wells under dynamic, transport, seismic and other impacts;
_ mechanics of machines and mechanisms, methods for studying the dynamics, strength, reliability and stability of industrial machines and robots, taking into account the nonlinear properties of elements and components, nonlinear, stochastic and random disturbances;
– methods for developing rotary and vibration machines, control devices for the implementation of advanced technologies in the interests of mechanical engineering and energy, including mining and processing industries;
– mechanics of robots, development of methods for research and development of highly intelligent robots based on lever and parallel manipulators (mechanisms), including walking and cable robots, adaptive grippers and drives;
– methods for developing robots, intelligent systems and measuring technical devices (including hardware and software systems) to solve medical problems, including the creation of new methods of vibration biomechanics, service and surgical robots, diagnostic, prevention and treatment technologies;
– development of deep methods of machine learning (Machine Learning) and artificial intelligence for solving nonlinear problems of mechanics and robotics:
– development of machine learning methods for solving mineral extraction problems: interpretation of well data, modeling of nonequilibrium filtration, development of high-performance computational models and a virtual well prototype for analyzing and predicting the characteristics of mineral deposit development;
– development of machine learning methods for solving stochastic problems of fluid mechanics (problems of modeling turbulent flows and flows in porous media) and mechanics of solid materials (development of methods for intelligent analysis of stress-strain state and spectral analysis of solid materials);
– development of machine learning methods for the design of complex lever manipulators and modern mobile robots (optimization of the problem of designing mechanisms and manipulators, intelligent models and technical diagnostic programs, control systems and automation of mobile robots).