A Novel Approach to Conceptual Gaming

Machine perception and spatial intelligence system for extracting actionable insights from incomplete, complex spatial data. Directly applicable to mining exploration, agricultural monitoring, and supply chain optimization using satellite imagery, geological surveys, and sensor networks.

Project Video

Methodology & Approach

Developed machine perception methodologies for analyzing fragmented 3D reconstructions, directly applicable to processing incomplete geological survey data, LIDAR scans, and subsurface imaging for mining operations.
Created AI-assisted analysis frameworks for identifying opportunities and hazards in spatial data that traditional human analysis might miss—essential for mining exploration and agricultural risk assessment.
Implemented approaches for extracting comprehensive intelligence from partial satellite imagery, drone data, and sensor readings for agricultural crop health assessment and precision farming optimization.
Designed systems for modeling complex supply chain scenarios and commodity flow optimization based on incomplete geographic, climatic, and economic data.
Explored virtual spatial analysis as methodology for understanding potential disruptions and optimization opportunities in commodity logistics and supply chain management.

Resource Industry Applications