Projects
Research Engineering
Adaptive-control-of-heterogeneous-distributed-computing-systems
A reproducible research stand for adaptive control of heterogeneous distributed computing systems. It includes a multi-agent model, load and failure scenarios, scheduling algorithms, ML forecasting, a ZNN balancing block, an LLM-agent policy loop, CLI, web UI, reproducibility protocols, and quality gates.
Portfolio signal: a direct connection between the scientific topic, software engineering, and experimental infrastructure.
migration
A local research stand for migration text analysis and urban perception studies. It includes Telegram/YouTube CSV corpora, toponym and urban-space analysis, migration narratives, reproducible samples for manual coding, retrieval/summarization over scholarly articles, and publication discovery through open APIs.
Portfolio signal: an evidence-first research workflow where data, papers, experiments, and code live in one project environment.
interactive-audit
A backend prototype for expert analysis of interactive publications. The system analyzes a page by URL, extracts features, applies an assessment rubric, produces deterministic reports without API keys, and optionally generates AI-assisted reports through OpenAI, Gemini, or Ollama.
Portfolio signal: an applied bridge between evaluation methodology, backend API design, and interchangeable AI providers.
optinet
A simulation of distributed computing system control with carbon-footprint reduction in mind. It includes synthetic data, large-network modeling, comparison of ZNN, LNN, and hybrid ZNN-LNN workflows, energy and emissions calculations, and result visualization.
Portfolio signal: optimization, time-varying matrix problems, distributed dynamic computing systems, and sustainability-oriented computing.
Applied R&D
AirScope
AirScope is a project to create a platform for monitoring construction, infrastructure, and industrial objects using unmanned aerial system data, photogrammetry, 3D models, point clouds, and computer vision methods.
Within the project, AirScope is developed as a universal platform where AirBIM is treated as a construction module for tracking work progress, comparing the actual state of an object with the design model, recording deviations, and generating analytical reports.
- AirBIM construction module website: airbim.org.
Role in the project: direction lead / scientific and technical project lead.
Key tasks:
- Shaping AirScope as a monitoring platform rather than a single construction service.
- Defining the module architecture: UAS data acquisition, image processing, photogrammetry, 3D reconstruction, analytics, and user interface.
- Setting development tasks with a focus on practical system use.
- Developing use cases for construction, infrastructure, energy, and monitoring of extended linear objects.
- Organizing collaboration with industrial partners, including the use of UAVs and field data.
- Preparing the project for commercialization: describing functionality, forming intellectual property outputs, registering software components, and packaging solutions for customers.
Technology focus:
- UAS and remote sensing data.
- Photogrammetry and 3D model generation.
- Point clouds and orthophoto maps.
- Computer vision and intelligent image analysis.
- Monitoring object change dynamics.
- Web interface for engineering and management control.
- Preparation of reports and analytical materials for customers.
Result: the AirScope concept has been formed as a remote spatial monitoring platform; AirBIM has been positioned as a specialized construction module; and product development directions have been prepared for practical use in construction, infrastructure monitoring, and industrial control tasks.
Related results within the AirScope track:
- Tree Species Detection from UAV Data — a UAS data processing module for automatic tree species identification; software registration certificate No. 2024615231, published 05 Mar 2024.
- Optimal Flight Mission Module — a software module for planning UAS flight missions; software registration certificate No. 2025680895, published 08 Aug 2025.
Siberiana
A digital platform for the historical and cultural heritage of Yenisei Siberia, focused on storage, management, analysis, and visualization of heterogeneous cultural-historical data.
- Website: siberiana.online.
- Period: 01 Mar 2022-31 Dec 2023.
- Role: project lead.
- Result: a fully operational platform with storage, management, intelligent processing, visualization, GIS, and 3D model viewing modules; registered Siberiana software, certificate No. 2023615453 dated 07 Apr 2023.
Additional Project Tracks
UAS, Computer Vision, and Spatial Data
- R&D on computer vision for UAS (2023-2024) — preparation of proposals and technical specifications for autonomous navigation, multispectral optoelectronic systems, autonomous detection, and monitoring.
- On-board CV (2025) — an experimental track for computer vision on UAVs: comparison of Jetson Nano and Radxa CM5, preparation of datasets and test logs, pre-flight preparation, and flight mission generation.
- Geoinformation and coordinate-time support for the transport sector (2025) — a concept for a unified digital platform for spatial data, navigation, and intelligent transport infrastructure management.
- Russian Railways: station scheme recognition and 3D modeling (2025) — design work for an information system with modules for recognizing railway station schemes and building 3D models of infrastructure objects.
Urban Environment, Roads, and Natural Risks
- Automated GIS for residential complexes in Krasnoyarsk (2021) — a geoinformation system for assessing residential-complex comfort, urban environment quality, transport accessibility, infrastructure, and building parameters.
- Intelligent Traffic Management System (2024-2025) — a software platform for supporting traffic management and data exchange between system modules; software registration certificates No. 2024610926 dated 16 Jan 2024 and No. 2025610587 dated 13 Jan 2025; demo.
- Automated information and measurement system for road water-thermal regimes (2024) — a road-condition monitoring system using meteorological and soil data to forecast reductions in the bearing capacity of road structures.
- Intelligent flood monitoring and forecasting system (2025) — technical specification and MVP estimation for a system that collects and analyzes open hydrological data using hybrid artificial intelligence models.
AI, Data, and Industrial Analytics
- Video stream analytics system (2024) — software for classifying human actions in images and assessing potentially abnormal situations.
- IntelliMDM (2025) — a concept for an intelligent master data management platform based on predictive analytics, LLM technologies, and centralized enterprise data storage.
- Center for Digital Industrial Solutions (2025) — development of a shared-use center concept and infrastructure for industrial digital solutions, computing tasks, and GPU-based workflows.
- AI-driven adaptive heating for sodium-ion batteries (2026) — an international R&D track with Tianjin University of Technology on intelligent management of sodium-ion batteries for truck starting power supplies in cold regions.
Cultural Heritage, AR/VR, and Humanities Projects
- AR/VR for tourism and natural heritage (2021) — concepts for information systems that preserve and represent natural and cultural-religious heritage, including augmented reality scenarios.
- Spiritual Ring of the Yenisei North (2026) — a concept for a documentary travel film about Orthodox heritage in the Yenisei North.
- International collaboration with Thammasat University (2026) — preparation of formats for research and education cooperation, project exchange, and joint humanities research.