Research leader in intelligent human–machine systems, artificial intelligence, robotics and navigation, simulator-based operator training, Human–AI interaction and model-based decision support.
The programme connects operator performance, simulator-based training, intelligent navigation, autonomous and robotic systems, digital twins, decision support and Human–AI evaluation. The common focus is how people, AI models and technical systems jointly perceive, decide and act under uncertainty.
RSF No. 23-19-00568-П. Human–machine operator performance, psychophysiological predictors, simulator training and intelligent support for ergatic systems.
Hybrid mapping, local geometric constraints and navigation-oriented environmental models for mobile and robotic systems operating with unreliable positioning.
Methods for evaluating LLM-assisted reasoning and decision support, including Minimum Sufficient Prompting, human validation and planned neurophysiological studies.
Engineering and kinematic models used as an intelligent layer for prediction, motion coordination and operator support in complex technical systems.
The research programme combines real-world field work with controlled human–machine experiments and physiological measurement.
CoHMI is designed as a team-based research programme rather than a personal publication portfolio. Current work connects senior researchers, doctoral researchers, early-career researchers and undergraduate research.
View CoHMI Research Team →These cases are included as evidence of the ability to build research and education systems around a scientific or technological agenda.
Initiated and developed an inter-university ecosystem around digital transformation of the forest sector, with Volgatech as coordinating organization and a network that grew to 27 participants.
A sequence of competitive federal initiatives linking AI education, scientific supervision, industry participation and the launch of a dedicated TOP IT center.
Led the transition of 127 educational programmes to remote delivery, supporting approximately 7,500 full-time HE/VET students and around 650 teachers, alongside development of the university information environment and electronic document workflows.
Selected initiatives include TOP AI projects, the Military Training Center for the Aerospace Forces, University Lyceum, Professionalitet, student design bureau, shared research facilities and industry-linked base departments.
Author ID: 23052012800 · h-index 8
765 citations · h-index 14 · i10-index 23 (Oct 2026)
A-9472-2014