ellinoc

Water Resource Modeling

Developing predictive models and optimization systems for sustainable water management, drought mitigation, and aquifer conservation.

Creating 3D hydraulic models to predict groundwater recharge rates, contamination spread, and aquifer sustainability metrics.

Machine learning models predicting regional water scarcity with 96.7% accuracy up to 6 months in advance.

Optimizing municipal water distribution networks using reinforcement learning algorithms for maximum efficiency.

Interact with our open-source water dynamics simulator to understand watershed management and conservation strategies.

Partner with hydrologists and computer scientists to develop water management solutions for cities, agriculture, and conservation.