Knowledge generation and processing​

Developing next-generation AI systems that combine symbolic reasoning, statistical learning, and simulation to formalize, connect, and evolve scientific knowledge across domains.

Overview

Formal modelling and composition of scientific knowledge aligned with cognition for next-gen AI. Combining symbolic reasoning, statistical learning, and simulation enables scientific inference. Graph-based and semantic knowledge representation structures that enable cross-domain inference and support the formalization of knowledge within the unified Constructor Knowledge Model. Generative models assist in writing, hypothesis generation, and education. Digital twins mediate human–AI knowledge co-production, supporting its evolution and refinement. Adaptive control, machine perception, and learning systems enabling autonomy in dynamic environments.

Our Projects

Explore our innovative research work

Discover a selection of our key projects that highlight our commitment to advancing education through research.

Digital Platform for Search, Analysis, and Management of Scientific and Technical Information

Platform for Collecting and Analyzing Web Texts for Social Science and Business Research

AI-Scientist (MIND-MATTER)

Semantic Flow AI

Knowledge Discovery

Emerging Demands and Innovative Practices in Use of AI ​in Higher Education and Science

AI Antibiotics (Gram-negative AMR)

Publications

Discover a selection of our key publications that highlight our commitment to advancing education through research.

  • Frumin, I., Vorochkov, A., Kiryushina, M., Platonova, D., & Terentiev, E. (2026). Mapping the Generative AI Research in Higher Education: 2022–2024 Insights. Higher Education Quarterly, 80(1), https://doi.org/10.1111/hequ.700752.Xiao, J., Bozkurt, A., Nichols, M., Pazurek, A., Stracke, C. M., Bai, J. Y., … & Themeli, C. (2025). Venturing into the unknown: Critical insights into grey areas and pioneering future directions in educational generative AI research. TechTrends, 1-16. https://doi.org/10.1007/s11528-025-01060-6

Research Team

Meet Our PIs

Discover our teams diverse expertise and how their qualifications drive innovative solutions in education and research.

Prof. Dr. Isak Frumin

Prof. Dr. Alexander Tormasov

Prof. Dr. Andrey Ustyuzhanin

Partner with us to innovate together