Professor, Doctor of Chemical Sciences, Candidate of Physical and Mathematical Sciences, Academician of the National Engineering Academy of the Republic of Kazakhstan.
1980 - 1986 Leningrad State University.. Physicist. Specialty – 2016, diploma MV No. 405 695..
AP05132138 “Development of a production technology for integrated self-sustaining systems for purification and conditioning of urban air.”
AP14870281 “Development of new approaches to digital image processing using convolutional neural networks.”
AP14870416 “Development of new approaches to solving philosophical problems of multi-valued logic as a means of identifying patterns of thinking.”
BR24992908 “A support system for agrotechnical measures in crop production based on a set of monitoring tools and artificial intelligence methods (Agroscope).”
AP23490107 “Development of theoretical and information methods for describing wave-signal converters based on the use of finite algebraic structures.”
Vitulyova Y., Kadyrzhan K., Kadyrzhan A., Shaltykova D., Suleimenov I. Reducing the description of arbitrary wave field converters to tensor form // International Journal of Information Technology. – 2025. – Vol. 17, № 6. – С. 3275–3284.
Shaltykova D., Kadyrzhan K., Suleimenov I., Seitenova G., Kopishev E. Application of Fourier-Galois Spectra Analysers for Rotating Image Analysis // Polymers. – 2025. – Vol. 17, № 13. – P. 1791.
Gabrielyan O. A., Suleimenov I. E. Objective Foundations of Ethics and Prospects for Its Development: Information and Communication Approach // Conatus Journal of Philosophy. – 2025. – Vol. 10, № 1. – С. 111–125.
Suleimenov I., Dyussova R., Shaltykova D., Seitenova G., Kopishev E. Prerequisites for Developing a Classification of Phase Transitions in Systems Based on Thermosensitive Polymers: Use of a Semi-Empirical Model // Polymers. – 2025. – Vol. 17, № 11. – P. 1441.
Kabdushev S., Gabrielyan O., Kopishev E., Suleimenov I. Neural network properties of hydrophilic polymers as a key for development of the general theory of evolution // Royal Society Open Science. – 2025. – Vol. 12, № 4. – P. e2120037119.
Suleimenov I., Bakirov A. Prospects for Using Finite Algebraic Rings for Constructing Discrete Coordinate Systems // Symmetry. – 2025. – Vol. 17, № 3. – P. 410.
Kadyrzhan A., Matrassulova D., Vitulyova Y., Suleimenov I. Discrete Cartesian Coordinate Transformations: Using Algebraic Extension Methods // Applied Sciences (Switzerland). – 2025. – Vol. 15, № 3. – P. 1464.
Kadyrzhan K., Suleimenov I., Tolymbekova L., Seitenova G., Kopishev E. Background of New Measurement Electronic Devices with Polyelectrolyte Hydrogel Base // Polymers. – 2025. – Vol. 17, № 4. – P. 539.
Suleimenov I., Gabrielyan O., Matrassulova D. Philosophical Foundations of Sciences and Prospects of Multivalued Logic in Describing Thinking // Science and Education. – 2025. – In press.
Suleimenov I. E., Gabrielyan O. A., Bakirov A. S. Initial study of general theory of complex systems: physical basis and philosophical understanding // Bulletin of Electrical Engineering and Informatics. – 2025. – Vol. 14, № 1. – С. 774–789.
Kadyrzhan A., Kadyrzhan K., Bakirov A., Suleimenov I. Prospects for the Use of Quasi-Mersen Numbers in the Design of Parallel-Serial Processors // Applied Sciences (Switzerland). – 2025. – Vol. 15, № 2. – P. 741.
Bakirov A., Matrassulova D., Vitulyova Y., Shaltykova D., Suleimenov I. The specifics of the Galois field GF(257) and its use for digital signal processing // Scientific Reports. – 2024. – Vol. 14, № 1. – P. 15376.
Kadyrzhan A., Bakirov A., Shaltykova D., Suleimenov I. Application of the Algebraic Extension Method to the Construction of Orthogonal Bases for Partial Digital Convolutions // Algorithms. – 2024. – Vol. 17, № 11. – P. 496.
Suleimenov I., Gabrielyan O., Kopishev E., Bakirov A., Vitulyova Y. Advanced Applications of Polymer Hydrogels in Electronics and Signal Processing // Gels. – 2024. – Vol. 10, № 11. – P. 715.
As a result of the training, the doctoral student develops skills and abilities to apply the methodology of scientific knowledge of unique knowledge in the food and processing industries. The main tasks of the research environment are the correct application of methodological tools in scientific knowledge of new knowledge in the field of modeling and simulation of physical processes, computational experience, knowledge of the methodology for conducting optimal tests and measurement results.