Our laboratory consists of researchers, engineers and students from MIPT University, BMSTU University and MSU University.
Our main research area of interest is the analysis of big models, consists of telemetry/time-series data linked to semantic graphs.
With such an integration of telemetry data streams and semantic graph models we strive to improve the quality of decision making and the degree of automation in organizations.
We are doing R&D in methods and instruments for the whole data lifecycle: from data collecting, ingesting, curating and integrating to analysis, anomaly detecting and labeling of time-series and graph data and to producing recommendations for users.
Partners and Collaborations
Our Value Propositions
- We have experience in developing and operating enterprise-class information systems, and we understand the main problems and needs of companies.
We use powerful methods and tools to create and use big information models that take into account the detailed aspects of your business
We understand how big data storage and analysis tools are built and used
We know how to automate routine data analysis tasks using machine learning
We understand that big data is useless without meta data about its data schema, origin, and binding to the organization model, semantics
Industrial automation and automated control systems (SCADA), Internet of things systems (IoT), smart energy systems (Smart Grid), Digital TwinsLearn more
Systems engineering tools for requirement management and a large technical systems modeling (CAD, PLM, Multi-D modeling)Learn more