Publications - iMak AI Lab

Degradation Trajectory Retrieval and Diffusion-Based Fault Generation

Dmitry Zhevnenko, Mikhail Zaytsev, Ilya Makarov

IEEE Access•July 2026

predictive maintenance Diffusion Models Generative AI Fault Diagnosis IEEE Access

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

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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

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HiSim: Sensor-Stream Cosine Health Index for Early-Stage Monitoring

Dmitry Zhevnenko, Ilya Makarov, Petr Michailov

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

predictive maintenance RUL IoT Edge AI SenSys

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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

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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

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Learning memristor switching degradation dynamics with neural models

Dmitry Zhevnenko, Fedor Meshchaninov, Maria Koryazhkina, Alexey Belov, Vladimir Shmakov, Evgeny Gornev,

Chaos, Solitons & Fractals•April 2026

DOI: https://doi.org/10.1016/j.chaos.2025.117803

Memristors Microelectronics Time Series Analysis Physics Chaos, Solitons & Fractals

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

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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

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Automation of input control of transistors using deep learning models and analysis of their latent space

AS Chernova, Fedor Pavlovich Meshchaninov, Dmitry Zhevnenko, Evgenii Sergeevich Gornev

Doklady Rossijskoj Akademii Nauk. Mathematika, Informatika, Processy Upravlenia•September 2025

DOI: https://doi.org/10.7868/S2686954325070239

Microelectronics Anomaly Detection Industrial AI Representation Learning

Modeling memristor switching behavior through phase-delay cluster analysis

Dmitry Zhevnenko, Fedor Meshchaninov, Alexey Belov, Evgeny Gornev, Alexey Mikhaylov

Chaos, Solitons & Fractals•August 2025

DOI: https://doi.org/10.1016/j.chaos.2025.116447

Memristors Microelectronics Physics Chaos, Solitons & Fractals

Optimizing state monitoring with domain degradation knowledge

Dmitry Zhevnenko, Ilya Makarov

IEEE Access•May 2025

DOI: https://doi.org/10.1109/ACCESS.2025.3573683

predictive maintenance RUL Industrial AI IEEE Access

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Introducing a neural network approach to memristor dynamics: A comparative study with traditional compact models

Dmitry Zhevnenko, F Meshchaninov, V Shmakov, E Kharchenko, V Kozhevnikov, A Chernova,

Chaos, Solitons & Fractals•March 2025

DOI: https://doi.org/10.1016/j.chaos.2024.115960

Memristors Microelectronics Physics Chaos, Solitons & Fractals