The Republican State Enterprise on the Right of Economic Management “Institute of Mechanics and Mechanical 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 in Kazakhstan of fundamental and applied research in the field of mechanics, mechanical engineering, and robotics.
The Institute employs 168 staff members, of whom 147 are researchers. PhD employees make up 38.8% of the total number of researchers, of which 11.6% are doctors of science, 15% are candidates of science, and 12.2% are PhDs.
In its development, the Institute is guided by the model of a digital scientific organization with a focus on the needs of the economy, which provides for the creation of a management system adapted to the requirements of the scientific and educational services market, commercialization of the Institute’s intellectual product, digitalization of the main and scientific research activities, and continuous improvement of the quality of services provided.
The Institute’s StrategyIt is envisaged to improve the risk management system when mastering (implementing) new practices and technologies, including those whose results are not obvious in the short term.
The Institute will be a center of attraction for the best scientists and young people who are ready to study, develop and work for the benefit of society, sharing the values, corporate culture and traditions of the Institute.
The main tasks of IMMash are:
— high integration of education, science and knowledge-intensive industry, focus on the development and transfer to the economy of Kazakhstan and other countries of the results of research and technologies in the 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 generating new knowledge and technical solutions, creating 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 constructions, deep and super-deep wells under dynamic, transport, seismic and other influences;
_ 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 units, 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 the extractive and processing industries;
— robot mechanics, development of research and development methods for 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 software and hardware systems) for solving 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 and artificial intelligence for solving nonlinear problems of mechanics and robotics:
— development of machine learning methods to solve mineral extraction problems: interpretation of well data, modeling of nonequilibrium filtration, development of high-performance computational models and a virtual well prototype for analysis and prediction of mineral deposit development characteristics;
— development of machine learning methods for solving stochastic problems of hydromechanics (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 designing complex lever manipulators and modern mobile robots (optimization of the task of designing mechanisms and manipulators, intelligent models and programs for technical diagnostics, control systems and automation of mobile robots).