Publications - iMak AI Lab

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 Engineering LLM Generative AI FSE

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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 Agents Multi-Agent Systems Software Engineering Research Automation FSE

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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 Engineering LLM Prompt Engineering FSE

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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

AutoML Edge AI LLM Agents SenSys

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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 Networks IoT Edge AI Representation Learning SenSys

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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 Agents Natural Disasters climate Multi-Agent Systems AAAI

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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

LLM Affective Computing Game Theory Alignment IEEE Access

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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

climate weather Natural Disasters

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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

LLM NLP Affective Computing Game Theory HCI ACM MM

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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

NLP Active Learning Generative AI Uncertainty Estimation ACL

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