I am a Research Fellow at the Institute of Engineering Innovation, The University of Tokyo (Japan).
My research explores the integration of AI and Large Language Models (LLMs) into civil, geotechnical, and environmental engineering — bridging physical experiments, numerical simulations, and data-driven modeling for natural hazard prediction and monitoring.

I’m also working on my own initiative, TajGEM (Tajikistan Glacier Evolution Model), to build an open AI-powered monitoring system for glacier evolution and natural hazard assessment across Central Asia.

• 🏔️ TajGEM (Tajikistan Glacier Evolution Model) — Central Asia glacier evolution model integrating ERA5 climate data, RGI inventories, and ensemble ML/deep learning models.
• 🌋 Landslide Ensemble Project — Modeling landslide using ensemble ML and SHAP interpretability.
• 💧 Hydro-Climate AI — Hybrid AI–physics modeling of glacier–hydrology systems.
• 🧠 LLM Framework — Multi-agent LLM system.

• Integration of AI/LLMs with laboratory and numerical models for landslide, liquefaction, and glacier evolution processes.
• Physics-informed and symbolic AI discovering governing equations of geotechnical systems.
• Development of multi-agent AI ecosystems for slope stability and regional hazard monitoring in Central Asia.
• Fusion of remote sensing, DEM analysis, and ML for real-time geohazard detection.

🧩 “Bridging AI and Earth systems — from glaciers to ground failure.”
🌏 TajGEM Initiative • Central Asia Monitoring Network