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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

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

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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