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Urban Artificial Intelligence Lab

The TAMIDS Urban AI Lab will dynamically analyze built environments and test scenarios for sustainable growth and climate action.

Overview

Big data and computational algorithms have gradually become integrated with the built environment and within human’s daily lives, leading to a significant rise in Urban Artificial Intelligence (AI) research and applications. As such, the Urban AI Lab will develop digital twins and virtual/augmented reality (VR/AR) for multi-scaled simulations and scenarios for cities and regions. Further, such a platform will facilitate a collective understanding of existing urban infrastructure conditions and demonstrate innovative capabilities for how to increase urban resilience and efficacy beyond the technology integration. The Urban AI Lab will develop and support free and open-source software tools for reproducible urban problem solving. We will provide contextualized modeling of cities to dynamically analyze real-time built environments and test existing and future scenarios for sustainable growth and climate action, involving eight founding members and 48 other members across nine colleges at TAMU, including Galveston campus, TEES, AgriLife Research, and TTI. We also aim to make the urban data FAIR (Findable, Accessible, Interoperable, and Reusable) through an AI-based data sharing platform.

Research

Coastal Community Digital Twin

Smart Information Services

Urban Data Science

GeoSAT@TAMU

Contact

A Google group (mailing list) was created to facilitate the exchange of ideas and resources. It is open to everyone.

Please visit the Lab Member page and contact individual researchers if you are looking for collaborators with certain expertise. All the questions about lab-level collaborations should be addressed to the Director Dr. Xinyue Ye at [email protected]

All the lab jobs and opportunities are listed on the TAMIDS Jobs page. Please follow the instructions on the TAMIDS website for more information.