AP19174589 Influence of defects on the atomic and electronic properties of platinum-based transition metal dichalcogenides

Project implementation period: 2023 - 2025

Project Leader: Zhussupbekov K.

The aim of this project is to investigate zero-dimensional (0D) and one-dimensional (1D) defects by comprehensive theoretical and experimental approaches including density functional theory (DFT) and scanning tunneling microscopy/spectroscopy (STM/STS). Specifically, this study will be focused on Pt-based transition metal dichalcogenides (TMDs).

In order to achieve the project’s goal, the following objectives have to be completed:

1. Investigate the atomic structure of the Pt-based TMDs via STM with picometer resolution at the temperature of 77 K.

2. Study the electronic properties of the Pt-based TMDs by STS with milli eV resolution at the temperature of 77 K.

3. Resolve point defects (quantum systems) of the Pt-based TMDs at 77 K.

4. Characterise resolved features with the assistance of DFT simulations.

5. Investigate edge states in Pt-based TMDs, perform high-resolution STS measurements on monolayer and multilayer steps to understand the influence of edge-state occurrence.

6. Perform rigorous DFT calculations of the deferent edge terminations to fully understand experimental results.

AP19678668 Development of an interactive distance professional training program for rural small class schools teachers based on the Discord digital platform

Project implementation period: 2023 - 2025

Project Leader: Abykanova B.T.

The purpose of the project is to investigate the difficulties in the process of professional development of teachers of rural SCS and develop modular digital resources to eliminate difficulties with the possibility of remote access through Discord platform.

The objectives of the project. The purpose of project will be achieved through implementation of tasks:

1) To conduct a state-of-the-art literature review on the professional development of rural SCS teachers, specific features of teaching based on international and domestic experience;

2) To conduct quantitative and qualitative analysis of professional development difficulties of SCS teachers, existing approaches, their classification and characteristics;

3) To develop a modular program for the professional development of SCS teachers with theoretical and methodological materials, including video lessons;

4) To develop a model for organizing the process of distance learning for SCS teachers;

5) To post materials on the Discord digital platform and conduct an experimental training course, which will clarify methodology, cooperation, communication and moderation format;

6) To develop scientific and methodological recommendations for approbation and implementing methods of modular professional development of rural SCS teachers through non-formal education programs.

AP19678865 Optimization of the learning process for solving physical problems based on STEM technologies in the professional training of a future teacher

Project implementation period: 2023 - 2025

Project Leader: Zhussupkaliyeva G.K.   

To develop the optimal content of physics problems, methods and techniques for solving them, aimed at the formation of students' research skills in the teacher training system.

            Project Tasks:

1. Theoretical analysis of the problem of the role and place of tasks in the development of cognitive interest and the formation of research skills.

2. Substantiation of the role of the symbolic mathematical form in physical science and the process of learning to solve problems.

3. Development of a task system to implement the TQM approach in education:

• quality tasks;

• situational tasks;

• tasks with interdisciplinary connections.

4. Development of the elective course program "Physics in problems" in the educational program for training future teachers.

5. Development of an educational and methodological manual on the research topic.

6. Development of an educational content of an electronic training program on the manual for solving problems.

AP19679897 Development of an intelligent decision-making system for the control of the petroleum coke production process

Project implementation period: 2023 - 2025

Project Leader: Assanova B.U.

The purpose of the project is research- to create mathematical models of the main aggregates of the slow coking plant in conditions of uncertainty of the initial information and to develop heuristic methods for solving decision-making problems based on the knowledge, experience and intuition of the DMP.

In order to achieve the set goal, the following research tasks are set and solved in the next project:

- development of a methodology for creating models of CTS units based on various primary information, on the example of a slow coking plant;

- creating a system of mathematical models of the main aggregates of the research facility (tube furnaces, K-1 main rectification column, coking reactor) based on the developed methodology;

- mathematical formulation of decision-making problems and creation of heuristic algorithms for solving them for effective control of the installation using the models of the main aggregates of the created SCP, for choosing the optimal operating modes of its aggregates;

- to propose the heuristic approach created for optimization of the operating modes of the CTS through systematic modeling for use in decision-making on the selection of the optimal operating modes of the SCP;

- creation of the structure and main functional blocks of the intelligent decision-making support system.

AP22685192 Development of a Digital portal for Improving Teacher Training Based on Cloud Computing and IoT Technology Integration

Project implementation period: 2024 - 2026

Project Leader: Mukhambetova M. Zh.

Project Objective -The creation of a digital portal to enhance the training of computer science teachers and science teachers interested in implementing STEM education based on integration cloud computing and IoT technology.

Project Tasks:

- Conduct a survey to determine the level of preparation of teachers in cloud computing and IoT technology integration.

- Conduct a comparative analysis of the features of cloud platforms such as Ubidots Platform, Arduino IoT Cloud, ThingSpeak and AWS IoT for implementing the Internet of Things.

- Configuration and programming of IoT tools using the hardware and software capabilities of Arduino, Raspberry Pi and ESP32 boards. Preparation of STEM project methodics.

- Data recording from sensors and the establishment of links with cloud resources such as Ubidots Platform, Arduino IoT Cloud. Analysis and visualization of accumulated datasets using a remote cloud server.

- To design the model of digital portal and refinement of the architectural structure. Programming the client-side of the digital portal and development of a monitoring environment for tracking teachers' mastery of the portal's informational content.

- Programming the server-side of the digital portal using local and cloud servers. Creating CRUD processes, recording security transactions and linking the client-side and server-side sections.

- Creation visual environment for reading external and virtual internal objects IoT and linking collected data with cloud. Integration visual software environment with digital portal.

- Clarification of teaching methods for cloud computing and IoT technology integration, preparation of digital didactic complex and STEM project methodics.

- Testing and implemention of the digital portal. Formation of user guide for the digital portal.

- Analysis of the results of teachers' work on the digital portal.

AP22685531 Research of integrated models with self-consistent potential

Project implementation period: 2024 - 2026

Project Leader: Taishiyeva A.G.

The aim of the project is to investigate, within the framework of Soliton theory, to investigate integrable models with self-consistent potentials.

To achieve the project goal, the following tasks are set:

To investigate the relationship between generalized Heisenberg ferromagnetic equations and integrable models with self-consistent potentials.

To determine the integrability of generalizations of the Heisenberg ferromagnetic equation.

To establish the calibration equivalence of integrable models with self-consistent potential.

To obtain exact solutions of integrable models with self-consistent potential.

AP23490925 Reaching the Kazakhstan SDGs on safe access to water, sanitation and wastewater systems using AI and machine learning

Project implementation period: 2024 - 2026

Project Leader: Tussupova K.M.

Aim - to develop an integral decision support system tool based on AI and machine learning for assessment and monitoring of the sustainability of urban water and wastewater systems (WWS) and rural WWS and sanitation management systems in Atyrau region to achieve joint SDG Targets 6.1.- 6.3.

Project Tasks: 

1. To conduct the review on the risk assessment tools used in assessing centralized water and wastewater supply systems, decentralized water supply and sanitation systems and by developing criteria to identify the most suitable tools for the assessment WWS of Atyrau city and rural areas. 2. To assess the current condition of WWS treatment and delivery systems including technical, environmental, chemical engineering, health and other prospectives based on the chosen tool from Task 1.

3. To define and assess the demand for possible increased water and wastewater and the need for the extension of the current WWS system within urban and rural context.

4. AI and machine learning based framework for development of extended sustainable WWS system models for Atyrau city and rural areas. It will be based on the principles of circular economy in treating wastewater and consider the safely managed drinking water and safely managed sanitation principles.

5. Developing integral AI and machine learning tool and decision support system for assessment and monitoring of the sustainability of water and wastewater systems and sanitation management systems in Atyrau region and with the possibility to up-scale results for the entire Kazakhstan . This study uses the concept of sustainable development and the latest research innovations within artificial intelligence (AI) and machine learning processes to assess the environmental, economic, and social potential of the extension of centralized water supply and wastewater systems in urban context using risk assessment tools. The systems approach is used for a comprehensive analysis of access to safely managed drinking water and sanitation services of cities through the sustainable extension of the WWS system.

AP25795485 The linguocognitive nature of hydronyms in the West Kazakhstan onomastic space

Project implementation period: 2025–2027

Project Leader: Dautkulova A.K.

Project Objective - Determination of the location of indigenous hydronyms in the onomastic space of western Kazakhstan on the basis of folk names, restoration, modernization, disclosure of linguistic and cognitive character. Defining their role in the ethnological, national and cultural space.

To achieve the goal of the project, the following main tasks were set:

• Decoding of national, cultural, and ethnolinguistic codes in macro and micro-hydronyms of Western Kazakhstan;

• Promotion of the general public by uploading information on the linguocognitive nature of hydronyms of Western Kazakhstan to the open Wikipedia encyclopedia;

• Determination of the frequency of hydronyms of Western Kazakhstan within the framework of a research project;

• To conduct a comparative study of local hydronyms and new hydronyms on a geographical map;

• Departure to regional expeditions to create an information and reference base on hydronyms;

• Provide information about the hydronyms of Western Kazakhstan in a QR code and an electronic version to the regional office of Onomastics;

• The study of national and cultural features of cognitive, ethnolinguistic, linguocultural, semiotic, perceptual, psychopathological, precedent properties of hydronyms in the West Kazakhstan onomastic space;

• Collection of information related to the early course of the hydronyms of Western Kazakhstan for the prevention of the consequences of natural disasters, floods using methods of statistical linguistics and cognitive analysis.

AP25796073 Development of a methodology for creating a distance learning platform based on the principles of artificial intelligence

Project implementation period: 2025–2027

Project Leader: Rakhmetov M.E.

Project Objective - The main goal of the project is to substantiate the methodology for creating a distance learning platform for automating the educational process based on the principles of artificial intelligence (AI) in order to improve the quality of education and adapt curricula to modern technological requirements.

Project Tasks:

1. To conduct a theoretical analysis of existing distance learning platforms in order to identify their features, advantages and disadvantages.

2. Creation of a conceptual and technical architecture of a distance learning platform based on the principles of artificial intelligence.

3. Development of a model for training future specialists to create a distance learning platform based on the principles of artificial intelligence.

4. Implementation of the developed methodology and platform into the educational process with adaptation to the specific requirements and needs of educational programs.

5. Conducting and summarizing experimental work in order to evaluate the effectiveness of the methodology for creating a distance learning platform based on the principles of artificial intelligence.

AP26101249 Development of a concept for effective and safe gamification of school education

Project implementation period: 2025–2027

Project Leader: Idrissov S.N.

There is a pressing need for a framework that adapts game mechanics into educational gamification, ensuring both effectiveness and safety. This project aims to develop a concept for safe and effective gamification in school education, tailored to the cultural and educational context of Kazakhstan. The initiative seeks to establish a comprehensive theoretical foundation, classify game mechanics, and adapt them for educational use while ensuring psychological safety, cybersecurity, and instructional effectiveness.

Project Tasks:

1) To conduct in-depth analysis of existing research on gamification in education and develop detailed model of effective and safe gamification.

2) To study how multimedia consumption affects schoolchildren’ attention and engagement to understand what elements can be used in gamification.

3) To study popular mobile games and identify game mechanics that can be adapted for educational purposes.

4) To develop clear principles for the safe use of gamification in education.

5) To create the first version of an educational platform based on developed gamification model.

6) To test the platform in real conditions and make necessary changes based on obtained results.

7) To assess long-term effects of using gamification on learning and student motivation.

8) To scale project results for pedagogical community. Preparation of a collective monograph. Publication of a chapter of the monograph with indexing in the Scopus database.

AP26100713 Fundamentals of creating sustainable asphalt concrete pavements using secondary polymers and lignin to solve environmental and infrastructure problems

Project implementation period: 2025–2027

Project Leader: Shambilova G.Kh.

The objective of the project is to develop fundamental principles for the creation of new asphalt concrete pavements that are resistant to climatic and mechanical impacts using recycled polymers (PP, PE) and lignin, aimed at solving environmental problems of plastic recycling and increasing the durability of road surfaces. The implementation of the project will improve the road infrastructure of Kazakhstan, reduce the environmental burden through the recycling of plastic waste, and stimulate the use of biomaterials in construction.

Project Tasks:

1. Development of modified bitumen compositions. The project involves the creation of stable and durable asphalt pavements by including three-component systems in the formulations, including primary and secondary polymers (PP and PE) and lignin. This will improve the performance characteristics of the pavements. It is planned to study the effect of polymers and lignin on the mechanical properties of asphalt compositions, which will be assessed through rheological tests using rotational viscometry and dynamic mechanical analysis, as well as adhesion and cohesion studies.

2. Study of rheological and thermomechanical properties of compositions. To analyze the effect of additives on the rheological behavior and resistance of compositions to temperature changes (from -40 to +230 °C), experimental studies will be conducted, including TGA, DSC, DTMA, DMA, morphological studies using optical and electron microscopy, IR spectroscopy and analysis of volatile components of mixtures. These methods will allow a detailed study of the rheological, thermomechanical and operational characteristics, including the coefficients of thermal expansion of materials.

3. Development of laboratory regulations for optimal compositions. This stage includes the development of detailed regulations describing the methods of preparation and modification of asphalt concrete using recycled plastics and lignin. The regulations will cover the stages of preparation and testing of materials, and will also determine the process parameters necessary to achieve optimal characteristics in various climatic conditions.

4. Conducting climatic tests of modified asphalt concrete pavements. Tests will be organized to assess the durability of materials under conditions of sharp temperature fluctuations, high temperatures, high humidity and UV radiation. These tests will determine the resistance of pavements to aging and the effect of additives on their climatic resistance.

5. Development of recommendations for the preparation of asphalt concrete for various climatic zones. The task is to develop recommendations for the selection of the fractional composition of fillers, as well as determining the optimal components for various types of loads. This will ensure the adaptation of asphalt concrete to the operating conditions of Kazakhstan and their use in different climatic zones of the country.

6. Creation of a database of properties of modified bitumen compositions. The data on the physical, chemical and rheological properties of materials obtained during the research will be systematized in a database, which will facilitate their further use in scientific research and in practice in the road industry. The database will become a valuable resource for engineers and scientists involved in the development and testing of new road surfaces.