National Top 5 · Season 2026

National Recognitions

Beyond our two international finalists, three more teams were recognised in the Kyrgyzstan national selection round for their outstanding solutions.

International Finalists

Two teams represented Kyrgyzstan at the global final of IMMC 2026 and both received Honorable Mention.

National Top 5

National Top 5

Neophytes

"Epsilon" School · Bishkek

Team: Begaim Sazbakova, Sultan Zikirov, Adilet Belekov, Jasur Dikambaev

Advisor: Azamat Dikambaev

Project: Integrated Wildfire and Poaching Risk Model for Etosha National Park

The team developed an integrated risk model combining wildfire and poaching threats into a single spatial framework. Using multi-criteria analysis across park sectors, they identified priority zones where high threat, high vulnerability, and weak response capacity intersect.

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National Top 5

Delta

Kelechek MIT · Bishkek

Team: Bermet Ryspekova, Aidana Soodonbekova, Sezim Murzakimova, Safiya Parpieva

Advisor: Cholponai Inaiatova

Project: Digital Shield — A Three-Stage Protection Framework for Etosha National Park

The team designed a three-stage "Digital Shield" framework integrating 40 VTOL drones and 300 AI sensors with ranger patrols. Using AHP for threat prioritisation, a Genetic Algorithm for resource optimisation, and Model Predictive Control for seasonal scheduling, they built an adaptive protection system that emphasises strategic density over raw numbers.

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National Top 5

Formula of Victory

Educational Complex "Maarif" · Bishkek

Team: Adelia Baitikova, Begimai Nuralieva, Ademi Muratova

Advisor: Aizhamal Izabekova

Project: Strategic Resource Allocation for Large-Scale Wildlife Protection

The team developed a strategic resource allocation model that prioritises zones by threat level and conservation value rather than uniform coverage. Their framework integrates human patrols with monitoring technology and response speed, and uses a quantitative protection index to determine the most rational distribution of assets and minimum personnel.

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