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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

RuSignBot: Russian Sign Language Synthesis via Customized MimicMotion

Daria Bondarenko, Emilia Bojarskaja, Maxim Novopoltsev, Aleksandr Tulenkov, Ruslan Murtazin, Iuliia Zemtsova,

Second Workshop on Language Models for Underserved Communities (LM4UC)•2026
Generative AISign LanguageRussianLow-Resource LanguagesCV
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2026

Multi-armed bandits convergence acceleration using cluster normalizations

Victoria Strenadko, Dmitrii Kiselev, Ilya Makarov

IEEE Access•July 2026
Recommender SystemsRLIEEE Access
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2026

Degradation Trajectory Retrieval and Diffusion-Based Fault Generation

Dmitry Zhevnenko, Mikhail Zaytsev, Ilya Makarov

IEEE Access•July 2026
predictive maintenanceDiffusion ModelsGenerative AIFault DiagnosisIEEE Access
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2026

ScholForge: A Multi-Agent LLM System for Autonomous Software Engineering Research

Aleksei Stepin, Boris Tolstokulakov, Vladislav Kulikov, Artyom Kabanov, Vladimir Kubasov, Mikhail Mozikov,

Proceedings of the 34th ACM International Conference on the Foundations of Software Engineering (FSE Companion)•July 2026
DOI: https://doi.org/10.1145/3803437.3807394
LLM AgentsMulti-Agent SystemsSoftware EngineeringResearch AutomationFSE
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2026

Inspectable Control for Structure-Preserving Software Regeneration

Alexey Gavrilov, Alan-Barsag Gazzaev, Mikhail Mozikov, Ilya Makarov, Sergey Muravyov

Proceedings of the 34th ACM International Conference on the Foundations of Software Engineering (FSE Companion)•July 2026
DOI: https://doi.org/10.1145/3803437.3807386
Software EngineeringLLMGenerative AIFSE
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2026

RIDER: Evolutionary Prompt Optimization with Adaptive Operator Selection for Software Engineering

Daglar Dragomirov, Nikita Kulin, Sergey Muravyov, Ilya Makarov, Daniil Sukhorukov, Mikhail Mozikov

Proceedings of the 34th ACM International Conference on the Foundations of Software Engineering (FSE Companion)•July 2026
DOI: https://doi.org/10.1145/3803437.3807393
Software EngineeringLLMPrompt EngineeringFSE
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2026

MINDGAMES: A Live Arena for Evaluating Social and Strategic Reasoning in Multi-Agent LLMs

Kevin Wang, Anna Thoni, Benjamin Kempinski, Bobby Cheng, Jianzhu Yao, Benjamin Finch,

arXiv preprint arXiv:2605.29512•May 2026
LLM AgentsMulti-Agent SystemsBenchmarkGame TheoryarXiv
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2026

Semi-automatic Artificial Kurgans Detection with YOLO and Foundation Models

Ivan Zaichenko, Artem Sorokin, Liudmila Vasileva, Ilya Makarov, Oleg Artiugin, Ilshat Bakhshiev,

2026 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT)•May 2026
archaeologyCVObject DetectionRemote SensingFoundation Models
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2026

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
CVEdge AIMiningIndustrial AISenSys
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2026

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 SensingIoTEdge AISenSys
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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

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 AIIoTSensor NetworksEdge AISenSys
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2026

Drop-In Diffractive Hyperspectral Module for Face Anti-Spoofing

Alexey Pronin, Daniil Vladimirov, Andrei Korepanov, Artem Muzyka, Andrey Makarov, Sofya Podtikhova,

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

Prompt2Edge: Autonomous Machine Learning System for Edge Devices

Aleksei Stepin, Vladislav Kulikov, Boris Tolstokulakov, Mikhail Mozikov, Ilya Makarov

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

MemSARAD: Hybrid Spatial-Memory Modeling for Industrial Sensing Systems

Alina Kozhevnikova, Andrei Zakharov, Ilya Makarov

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

Sensor-Aware Multi-Region Adversarial UNet for Downscaling Weather Fields

Daniil Sukhorukov, Andrei Zakharov, Ilya Makarov

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

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 maintenanceRULRepresentation LearningBenchmarkSenSys
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2026

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 NetworksNatural DisastersRemote SensingIoTSenSys
2026

Snapshot Hyperspectral Camera Add-On for Real-Time Face Anti-Spoofing

Artem Muzyka, Andrey Makarov, Alexey Pronin, Daniil Vladimirov, Andrei Korepanov, Sofya Podtikhova,

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

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
GNNHuman Activity RecognitionIoTSenSys
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2026

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
GNNFault DiagnosisExplainable AIIndustrial AISenSys
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2026

Physiology-Aware Foundation Models for Robust and Interpretable EEG Sensing

Zarina Maksudova, Denis Shestakov, Ilia Semenkov, Anastasia Bernovek, Ilya Makarov, Alex Ossadtchi

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

Kriging-Guided Fusion with Budget-Adaptive Learned Compression for Spatial Field Reconstruction in WSNs

Vladislav Kulikov, Boris Tolstokulakov, Aleksei Stepin, Mikhail Mozikov, Ilya Makarov

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

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 maintenanceRULIoTEdge AISenSys
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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

Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia

Chandler Smith, Marwa Abdulhai, Manfred Diaz, Marko Tesic, Rakshit Trivedi, Sasha Vezhnevets,

Advances in Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track•April 2026
LLM AgentsMulti-Agent SystemsGame TheoryBenchmarkNeurIPS
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2026

MindGames Arena Generalization Track: In2AI Solution with Delayed Per-Step Reward Attribution

Aliaksei Korshuk, Alexander Buyantuev, Ilya Makarov

arXiv preprint arXiv:2606.00017•April 2026
LLM AgentsRLMulti-Agent SystemsGame TheoryarXiv
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2026

Human-in-the-Loop Egyptology: A System for Ancient Egyptian Text Study

Innokentiy Humonen, Maksim Golyadkin, Valeria Rubanova, Ekaterina Alexandrova, Alexandre A. Loktionov, Ilya Makarov

Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems•April 2026
DOI: https://doi.org/10.1145/3772363.3798955
EgyptologyDigital HumanitiesHCIHuman-in-the-LoopCHIAncient Languages
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2026

Beyond Isolated Clients: Integrating Graph-Based Embeddings into Event Sequence Models

Harry Proshian, Nikita Severin, Sergey Nikolenko, Ivan Kireev, Andrey Savchenko, Ivan Sergeev,

Proceedings of the ACM Web Conference 2026 (WWW)•April 2026
DOI: https://doi.org/10.1145/3774904.3792886
GNNSSLRepresentation LearningRecommender SystemsWWW
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2026

ReDAct: Uncertainty-Aware Deferral for LLM Agents

Dzianis Piatrashyn, Nikita Kotelevskii, Kirill Grishchenkov, Nikita Glazkov, Ivan Nasonov, Ilya Makarov,

arXiv preprint arXiv:2604.07036•April 2026
LLM AgentsUncertainty EstimationTrustworthy AIarXiv
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2026

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
MemristorsMicroelectronicsTime Series AnalysisPhysicsChaos, Solitons & Fractals
2026

Bridging Global Climate Solutions and Local Realities: Evaluating Neural Networks for High-Resolution Downscaling

Daria Taniushkina, Aleksander Lukashevich, Valeriy Shevchenko, Daniil Sukhorukov, Yulia Melkozerova, Vladislav Pedashenko,

IEEE Access•March 2026
climateDownscalingweatherIEEE Access
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2026

Pre-trained LLMs Meet Sequential Recommenders: Efficient User-Centric Knowledge Distillation

Nikita Severin, Danil Kartushov, Vladislav Urzhumov, Vladislav Kulikov, Oksana Konovalova, Alexey Grishanov,

European Conference on Information Retrieval (ECIR)•March 2026
DOI: https://doi.org/10.1007/978-3-032-21300-6_42
LLMRecommender SystemsKnowledge DistillationECIR
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2026

Framework GNN-AID: Graph Neural Network Analysis, Interpretation and Defense

Kirill Lukianov, Mikhail Drobyshevskiy, Georgii Sazonov, Mikhail Soloviov, Ilya Makarov

Proceedings of the AAAI Conference on Artificial Intelligence•March 2026
GNNExplainable AITrustworthy AIAAAI
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2026

RESPOND: Realistic Environment Simulation of Population and Natural Disasters with LLM-Driven Agents

Roman Sultimov, Mikhail Mozikov, Dmitrii Abramov, Mariia Kovalchuk, Maksim Malykh, Ilya Makarov,

Proceedings of the AAAI Conference on Artificial Intelligence•March 2026
LLM AgentsNatural DisastersclimateMulti-Agent SystemsAAAI
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2026

B3Emo: Quantifying Affect as a Double-Edged Sword in Strategic LLM Interactions

Aleksei Stepin, Mikhail Mozikov, Artyom Kabanov, Vladimir Kubasov, Rustam Akimov, Ivan Nasonov,

IEEE Access•March 2026
LLMAffective ComputingGame TheoryAlignmentIEEE Access
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2026

Adversarial Training and Contrastive Loss: Addressing Biases in Non-Topical Classification and Text Regression Tasks

Mikhail Lepekhin, Serge Sharoff, Ilya Makarov

IEEE Access•March 2026
NLPText ClassificationContrastive LearningTrustworthy AIIEEE Access
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2026

Neural Network-Based Approach to Evaluate Convective Hazards Frequency Shift under Climate Change

Mikhail Mozikov, Daria Taniushkina, Aleksandr Bulkin, Yuanchao Liu, Nazar Sotiriadi, Andrey Osiptsov,

Frontiers in Climate•March 2026
DOI: https://doi.org/10.3389/fclim.2026.1779183
climateweatherNatural Disasters
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2026

Shughni Machine Translation Enhanced by Donor Languages

Dmitry Novokshanov, Innokentiy S. Humonen, Ilya Makarov

Proceedings of the First Workshop on NLP and LLMs for the Iranian Language Family (SilkRoadNLP)•March 2026
NLPMachine TranslationLow-Resource Languages
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2026

QuantFit-VTON: A Measurement-Conditioned Diffusion Model for Predictable Garment Fit

Mikhail Nikolaev, Roman Lisov, Ilya Makarov

IEEE Access•February 2026
Diffusion ModelsGenerative AICVVirtual Try-OnIEEE Access
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2026

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 DetectionTime Series AnalysisIoTBenchmarkarXiv
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2026

From Images to Decisions: Assistive Computer Vision for Non-Metallic Content Estimation in Scrap Metal

Daniil Storonkin, Ilia Dziub, Maksim Golyadkin, Ilya Makarov

arXiv preprint arXiv:2602.07062•February 2026
CVImage SegmentationMetallurgyIndustrial AIarXiv
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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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2026

Offensive Yet Efficient: Semantic Summarization via Obscene Lexicon

Anton Perekhodov, Ilya Makarov

AAAI 2026 Workshop on AI Governance (AIGOV)•January 2026
NLPText SummarizationRussianAI EthicsAAAI
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2026

Hierarchical AI-Meteorologist: LLM-Agent System for Multi-Scale and Explainable Weather Forecast Reporting

Daniil Sukhorukov, Andrei Zakharov, Nikita Glazkov, Katsiaryna Yanchanka, Vladimir Kirilin, Maxim Dubovitsky,

arXiv preprint arXiv:2511.23387•November 2025
LLM AgentsweatherExplainable AIMulti-Agent SystemsarXiv
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Related project: Foundation models for Satellite Imaging and Climate
2025

A Modular LLM-Agent System for Transparent Multi-Parameter Weather Interpretation

Daniil Sukhorukov, Andrei Zakharov, Nikita Glazkov, Katsiaryna Yanchanka, Vladimir Kirilin, Maxim Dubovitsky,

arXiv preprint arXiv:2512.11819•November 2025
LLM AgentsweatherExplainable AIMulti-Agent SystemsarXiv
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2025

First-principles data-driven approach for assessment of stability of Tc-C systems

Radion A Zaripov, Roman A Eremin, Innokentiy Humonen, Aliaksei V Krautsou, Vitaly V Kuznetsov, Konstantin E German,

Acta Materialia•November 2025
DOI: https://doi.org/10.1016/j.actamat.2025.121704
Materials ScienceChemistryAI for Science
2025

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
V2XSSLContrastive LearningRepresentation LearningMobiCom
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2025

HL-EAI: A Multimodal Framework Enabling Emotional Reciprocity in Human-AI Strategic Decision-Making

Mikhail Mozikov, Daniil Orekhov, Ivan Nasonov, Konstantin Baltsat, Vladislav Pedashenko, Dmitrii Abramov,

Proceedings of the 33rd ACM International Conference on Multimedia•October 2025
DOI: https://doi.org/10.1145/3746027.3754468
LLMNLPAffective ComputingGame TheoryHCIACM MM
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Related project: Emotions for Human-Computer Interaction (HCI): recognizing, generating, interacting
2025

Evaluation of Egyptian Hieroglyph Classification Across Diverse Writing Styles

Maksim Golyadkin, Valeria Rubanova, Aleksandr Utkov, Dmitry Nikolotov, Ilya Makarov

Proceedings of the 33rd ACM International Conference on Multimedia•October 2025
DOI: https://doi.org/10.1145/3746027.3754797
archaeologyEgyptologyCVAncient LanguagesACM MMACM
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Related project: Ancient languages, AI in Archeology and Digital Humanities
2025

Real-Time SSL Sperm Whale Click Detector: Interactive Web Demo

Anvar Iskhakov, Viktor Kovalev, Vladislav Naumov, Ilya Makarov

Proceedings of the 33rd ACM International Conference on Multimedia•October 2025
DOI: https://doi.org/10.1145/3746027.3754475
animals communicationBioacousticsSSLACM MMACM
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Related project: Animals communication
2025

MuMMy: Multimodal Dataset supporting VLM-based Egyptology Research Assistant

Maksim Golyadkin, Innokentiy Humonen, Valeria Rubanova, Danil Kalin, Ianis Plevokas, Dmitry Nikolotov,

MM '25: Proceedings of the 33rd ACM International Conference on Multimedia•October 2025
DOI: https://doi.org/10.1145/3746027.3758231
ACMCVarchaeologyEgyptologyDatasetVLMACM MM
Related project: Ancient languages, AI in Archeology and Digital Humanities
2025

MEH: A Multi-Style Dataset and Toolkit for Advancing Egyptian Hieroglyph Recognition

Maksim Golyadkin, Valeria Rubanova, Aleksandr Utkov, Dmitry Nikolotov, Ilya Makarov

Proceedings of the IEEE/CVF International Conference on Computer Vision•October 2025
archaeologyEgyptologyDatasetCVAncient LanguagesICCV
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Related project: Ancient languages, AI in Archeology and Digital Humanities
2025

LCRM: A Linear-Camera Dataset for Road Marking Segmentation and Damage Evaluation

Ilya Makarov, Nikita Sidelnikov, Daniil Storonkin, Eugene Kapustin, Alexander Karandeev, Alexey Maslov,

IEEE Access•September 2025
DOI: https://doi.org/10.1109/ACCESS.2025.3612491
DatasetCVImage SegmentationRoad InfrastructureIEEE Access
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2025

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
MicroelectronicsAnomaly DetectionIndustrial AIRepresentation Learning
2025

Automatic Interpretation of Ancient Egyptian Texts for Education and Research

Maksim Golyadkin, Innokentiy Humonen, Yanis Plevokas, Ekaterina Bureeva, Ekaterina Alexandrova, Ilya Makarov

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Posters•August 2025
DOI: https://doi.org/10.1145/3721250.3743025
archaeologyCVEgyptologyAncient LanguagesDigital HumanitiesMachine Translation
Related project: Ancient languages, AI in Archeology and Digital Humanities
2025

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
MemristorsMicroelectronicsPhysicsChaos, Solitons & Fractals
2025

ATGen: A Framework for Active Text Generation

Akim Tsvigun, Daniil Vasilev, Ivan Tsvigun, Ivan Lysenko, Talgat Bektleuov, Aleksandr Medvedev,

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics•July 2025
NLPActive LearningGenerative AIUncertainty EstimationACL
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2025

Discovery of chemically modified higher tungsten boride by means of hybrid GNN/DFT approach

Nikita Matsokin, Roman Eremin, Anastasia Kuznetsova, Innokentiy Humonen, Aliaksei Krautsou, Vladimir Lazarev,

npj Computational Materials•June 2025
Materials ScienceGNNChemistryAI for Sciencenpj Computational Materials
2025

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 maintenanceRULIndustrial AIIEEE Access
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2025

Benchmarking machine learning models for predicting lithium ion migration

Artem Dembitskiy, Innokentiy Humonen, Roman Eremin, Dmitry Aksyonov, Stanislav Fedotov, Semen Budennyy

npj Computational Materials•May 2025
Materials ScienceChemistryAI for ScienceBenchmarknpj Computational Materials
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
2025

Impact of crystal structure symmetry in training datasets on GNN-based energy assessments for chemically disordered CsPbI3

Aliaksei Krautsou, Innokentiy Humonen, Vladimir Lazarev, Roman Eremin, Semen Budennyy

Scientific Reports•March 2025
Materials ScienceGNNChemistry
2025

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
MemristorsMicroelectronicsPhysicsChaos, Solitons & Fractals
2025

Closing the Domain Gap in Manga Colorization via Aligned Paired Dataset

Maksim Golyadkin, Ianis Plevokas, Ilya Makarov

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)•February 2025
DOI: https://doi.org/10.1109/WACV61041.2025.00545
Manga & AnimeGenerative AICVDatasetWACV
Related project: Manga colorization and anime generation
2025

SensorDBSCAN: Semi-Supervised Active Learning Powered Method for Anomaly Detection and Diagnosis

Petr Ivanov, Maria Shtark, Alexander Kozhevnikov, Maksim Golyadkin, Dmitry Botov, Ilya Makarov

IEEE Access•February 2025
DOI: https://doi.org/10.1109/ACCESS.2025.3537649
Anomaly DetectionFault DiagnosisActive LearningIndustrial AIIEEE Access
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2025

Advancing Sequential Manga Colorization for AR through Data Synthesis

Maksim Golyadkin, Sergey Saraev, Ilya Makarov

IEEE Access•January 2025
DOI: https://doi.org/10.1109/ACCESS.2025.3526882
Manga & AnimeGenerative AICVIEEE Access
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Related project: Manga colorization and anime generation