Predictive maintenance
Predictive maintenance is an advanced approach in industrial data analytics that uses sensor data to forecast equipment conditions.
AI Laboratory
iMak AI LabResearch and Productsat the Intersection of Science and Industry
We develop intelligent systems that enhance human capabilities: from data analytics and generative models to applied AI solutions for business, medicine, and education.
Latest Projects
Latest research initiatives
Foundation models for Satellite Imaging and Climate
This project focuses on pretraining and finetuning general-purpose image VLMs to remote-sensing applications that require spatial reasoning and interpretability.
Bio-inspired Multi-Agent RL (MARL)
Solving practical Solving practical problems for: Coordinated cargo transport, traffic flow optimization, decentralized obstacle avoidance and navigation
Recent Publications
Peer-reviewed work from the lab
- RuSignBot: Russian Sign Language Synthesis via Customized MimicMotionIlya Makarov, Andrey SavchenkoSecond Workshop on Language Models for Underserved Communities (LM4UC) · 2026
- Multi-armed bandits convergence acceleration using cluster normalizationsIlya MakarovIEEE Access · July 2026
- Degradation Trajectory Retrieval and Diffusion-Based Fault GenerationDmitry Zhevnenko, Ilya MakarovIEEE Access · July 2026
- Inspectable Control for Structure-Preserving Software RegenerationMikhail Mozikov, Ilya MakarovProceedings of the 34th ACM International Conference on the Foundations of Software Engineering (FSE Companion) · July 2026
Research Areas
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