Publications - iMak AI Lab

Benchmarking 2D Latent Degradation Spaces for Monitoring-Ready PdM

Dmitry Zhevnenko, Ilya Makarov, Aleksandr Kovalenko

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

predictive maintenance RUL Representation Learning Benchmark SenSys

Download PDF

AI-Driven Calibration for FMCW-Interferometry Clamp-on Ultrasonic Sensors

Ivan Korelin, Ilya Bolkisev, Aleksandr Kovalenko, Ilya Makarov, Alexey Kalmykov, Mikhail Ronkin

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

Industrial AI IoT Sensor Networks Edge AI SenSys

Download PDF

Interactive Framework for Interpretable Fault Diagnosis with Graph Neural Networks

Alexander Kozhevnikov, Maria Shtark, Petr Ivanov, Aleksandr Kovalenko, Dmitry Zhevnenko, Viacheslav Vasilev,

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

GNN Fault Diagnosis Explainable AI Industrial AI SenSys

Download PDF

Q-Count: Single-Link WiFi CSI People Counting in Quasi-Static Offices

Dmitry Zhevnenko, Ilya Makarov, Aleksandr Kovalenko, Evgenii Chernyshov, Alexandr Khrushchev, Artem Mkhitarian,

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

Wireless Sensing IoT Edge AI SenSys

Download PDF

Hierarchical Hexagonal Spatial Data Representation in Sparse Sensor Networks: Case Study in Regional Forest Fire Prediction

Anton Dolganov, Alexander Kaliberda, Aleksandr Kovalenko, Ilya Makarov, Egor Sekerin, Ilya Sekerin,

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

Sensor Networks Natural Disasters Remote Sensing IoT SenSys

On-Device Real-Time Computer Vision System for Rock Fragmentation Estimation in Open-Pit Mining

Artem Sorokin, Kirill Reshetnikov, Aleksandr Kovalenko, Ilya Makarov, Mikhail Ronkin

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

CV Edge AI Mining Industrial AI SenSys

Download PDF

Parallel Graph Neural Network Ensemble with Learnable Adjacency Matrices for Efficient Human Activity Recognition

Aleksandr Kovalenko, Miron Makhlin, Dmitry Zhevnenko, Artem Nikonorov, Ilya Makarov

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

GNN Human Activity Recognition IoT SenSys

Download PDF

Benchmarking IoT Time-Series Anomaly Detection with Event-Level Augmentations

Dmitry Zhevnenko, Ilya Makarov, Aleksandr Kovalenko, Fedor Meshchaninov, Anton Kozhukhov, Vladislav Travnikov,

arXiv preprint arXiv:2602.15457•February 2026

Anomaly Detection Time Series Analysis IoT Benchmark arXiv

Download PDF

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

Dataset Power Grid Energy Fault Diagnosis Time Series Analysis

Download PDF

Poster: Car2Vec: Task-Agnostic Latent Embeddings from CAN Bus for Efficient V2X Communication

Aleksandr Kovalenko, Ahmad Ahmad, Alexander Karandeev, Alexey Maslov, Dmitry Zhevnenko, Ilya Makarov

Proceedings of the 31st Annual International Conference on Mobile Computing and Networking•November 2025

DOI: https://doi.org/10.1145/3680207.3765701

V2X SSL Contrastive Learning Representation Learning MobiCom

Download PDF

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

SoC RPA Power Grid Energy Edge AI SenSys