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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

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

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

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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