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iMak AI Lab

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© 2026 iMak AI Lab

Publications

A collection of key scientific and applied works of the laboratory. In the future, the list can be linked to an external database or Google Scholar.

2026

On-Device Spectral Learning for EV Battery Capacity Estimation from Charging Telemetry

Andrei Zakharov, Ilya Makarov

2026 ACM/IEEE International Conference on Embedded Artificial Intelligence and Sensing Systems - Posters and Demos (SenSys-Adjunct)•May 2026
Electric VehiclesEnergyEdge AINeural OperatorsSenSys
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2026

Transferable Electric Vehicle Battery Capacity Estimation From Real-World Charging Data Using Spectral Learning

Andrei Zakharov, Vasily Volovich, Ilya Makarov

IEEE Open Journal of the Industrial Electronics Society•April 2026
Electric VehiclesEnergyTime Series AnalysisNeural Operators
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2026

A dataset of real-world oscillograms from electrical power grids

Aleksey Evdakov, Galina Filatova, Andrey Yablokov, Aleksandr Kovalenko, Evgeny Skachkov, Ilya Makarov

Scientific Data•January 2026
DOI: https://doi.org/10.1038/s41597-026-06587-8
DatasetPower GridEnergyFault DiagnosisTime Series Analysis
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2025

Autonomous AI-Driven Grid Protection: Sub-Cycle Fault Response via NPU-Optimized Neural Networks

Aleksandr Kovalenko, Aleksey Evdakov, Galina Filatova, Andrey Yablokov, Aleksandr Bulashov, Ilya Makarov

Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems•May 2025
DOI: https://doi.org/10.1145/3715014.3724062
SoCRPAPower GridEnergyEdge AISenSys