People
Faculty, research assistants, and alumni.
RedAI Lab explores how artificial intelligence can interpret, model, and reason about the physical world through imagery and spatial data—building applied AI, reinforcement learning, and deep learning systems that visualize and fuse geospatial and 3D information for urban planning, remote sensing, and environmental monitoring.
Applied AI
Generative AI
Computer vision
Reinforcement learning
3D reconstruction
Remote sensing
Geospatial intelligence
Quick links
Projects
Panoramic capture, LiteLLM infrastructure, architectural analytics.
Data Sets
GoPro 360 field data, window typologies, imagery archives.
Resources
LiteLLM server, LabelMe instance, documentation.