The university's scientific research is aimed at solving the most complex scientific tasks and addressing scientific-technical problems designed to improve life and make it safer. The search for innovative solutions is carried out through a network of creative collaborations with leading global
universities, research institutes, groups, centers, and consortia conducting advanced research in information and computer technology, artificial intelligence, and intelligent analysis of various processes.
Members of the university's scientific community engage in creating and advancing new knowledge to solve real-world problems under conditions of innovation, creativity, invention, and entrepreneurship.
Scientific directions include:
1. High-performance intelligent computing:
- Key research areas: computing models, computer architecture, self-improvable computations and systems, energy-efficient parallel specialized processors (EPSPs).
- Collaboration opportunities: theoretical research, design, and implementation of EPSPs based on FPGA, tools for automatic EPSP design.
2. Cyber-physical systems, IoT, and quantum computing:
- Key research areas: cyber-physical systems (CPS), accelerators, IoT technologies, quantum computing, quantum mechanisms for ensuring confidentiality, integrity, and data availability in communication networks under cyber threats.
- Collaboration opportunities: implementation of processors and embedded systems for signal and image processing, data protection, AI, and more; synthesis of computing devices in reconfigurable hardware platforms for CPS and IoT intelligent sensor-actuator nodes; intelligent remote monitoring of human functional state; quantum computing; quantum data protection mechanisms in communication networks.
3. Artificial intelligence and computer vision:
- Key research areas: artificial intelligence (AI), natural language processing (NLP), and computer vision.
- Collaboration opportunities: development of AI models, implementation of NLP for language-based technologies, computer vision.
4. Full Stack development and AI:
- Key research areas: modern Full Stack development (JS/TS/React, Next.js), cloud computing, Generative AI.
- Collaboration opportunities: collaboration on Full Stack development, cloud architecture solutions, and generative AI research for various applications.
5. Data engineering and process automation:
- Key research areas: data engineering (SQL processes, ETL), AWS integration, programming (Python, JavaScript).
- Collaboration opportunities: automation of business processes, improving data pipelines efficiency, and cloud system integration using AWS technologies.
6. Software development and DevOps:
- Key research areas: software development, DevOps, data structures, and artificial intelligence.
- Collaboration opportunities: software architecture optimization, integration of hybrid cloud environments (AWS), and AI-based DevOps solutions.
7. 3D Motion Design & Media Art:
- Key research areas: 3D Motion Design, media art.
- Collaboration opportunities: artistic and digital media innovations, development of 3D visual content for marketing, branding, and educational purposes.
8. System programming and intelligent computing:
- Key research areas: system programming, intelligent computing.
- Collaboration opportunities: development of intelligent computing systems and optimization of software architecture.
9. Mathematical modeling and inverse problems:
- Key research areas: inverse problems for parabolic-type equations.
- Collaboration opportunities: development of new methods for solving complex differential equations, optimization problems, and applications of control theory.
10. Business analysis and product development:
- Key research areas: business analysis, product development, and project management.
- Collaboration opportunities: research in agile product management, strategic business solutions, and methodologies for managing diverse teams.
11. Project management and business planning:
- Key research areas: project management, business planning, and team leadership.
- Collaboration opportunities: implementation of modern project management infrastructures, business planning solutions for startups, and small and medium enterprises.
12. Finance, banking, and insurance:
- Key research areas: finance, banking, insurance, and stock market.
- Collaboration opportunities: financial modeling, market research, and strategy optimization for banking and insurance sectors.
13. Neuromarketing and consumer psychology:
- Key research areas: neuromarketing, human information perception, decision-making.
- Collaboration opportunities: studying consumer behavior, optimizing marketing strategies using psychological insights and human-centered design.
14. Communication technologies and social psychology:
- Key research areas: social psychology, emotional intelligence, negotiation psychology, and communication technologies.
- Collaboration opportunities: development of communication strategies, emotional intelligence training, and advanced negotiation methods for business.
15. Mathematical modeling of economic processes:
- Key research areas: economic modeling, econometrics, and banking.
- Collaboration opportunities: predictive modeling of economic trends, development of econometric models for banking and financial markets.
16. Finance and educational program development:
- Key research areas: finance, public finance.
- Collaboration opportunities: research in financial management for local communities.
17. Creative thinking and entrepreneurship:
- Key research areas: pedagogy, marketing, communication skills, adult education, and creative thinking.
- Collaboration opportunities: development of entrepreneurial programs, creative thinking workshops, and educational programs in marketing and business innovations.
