Organization, decision and operations research​

Developing adaptive governance and operational frameworks that leverage digital twins and communication analytics to maximize organizational efficiency.

Overview

Developing alternative approaches for maintaining and managing of research projects, as well as scientific and research organizations, including governance structures. Efficiency is addressed through direct knowledge of personal and team communication patterns, informed by analysis of digital twins. Methods emphasize adaptability to the current state of projects, research activities, organizational structures, and operational processes. Empirical studies assess AI’s impact on research, teams, and methods.

Our Projects

Explore our innovative research work

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

Digital 4D Model of the Region

Predictive Data Analytics Service for Industrial Enterprises

Predictive Analytics Platform for Demand Forecasting Using Artificial Intelligence Technologies

Publications

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

  • Agasisti, T., Akuneeva, T., Egorov, A., Platonova, D., & Serebrennikov, P. (2025). Non-academic staff and technical efficiency of Russian universities 2012–2021. Applied Economics, 1-18. https://doi.org/10.1080/00036846.2025.2547114
  • Mazzara, Manuel, Giancarlo Succi, and Alexander Tormasov. Innopolis university-from zero to hero: Ten years of challenges and victories. Springer Nature, 2022.
  • Security (lab of Ivan): Тормасов А. Г., Обернихин В. А. Схема контроля доступа для распределённой одноранговой файловой системы (TorFS). // Безопасность информационных технологий — 2005. — № 3. — с. 68-74.

Research Team

Meet Our PIs

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Prof. Dr. Giancarlo Succi

Prof. Dr. Alexander Tormasov

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