TAMIDS Urban Artificial Intelligence LAB


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


Urban AI Lab

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.

  • Human Dynamics Research Special Section Set in Springer

    We set a permanent special section in Springer through the Journal of Computational Urban Science to encourage the submissions of Human Dynamics Research. The rapid evolution of technology has transformed the world into a hybrid realm where physical and virtual environments converge, reshaping how we understand human needs, behaviors, and interactions. This special issue (without deadline) invites…

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  • Four Postdocs (Sulong Zhou, Xinyu Li, Suphanut Jamonnak, and Cuiling Liu) received grants

    Kudos to our three Postdocs Xinyu Li, Suphanut Jamonnak, and Cuiling Liu for receiving the grants from the inaugural Two-Year Seed Program for AI, Computing, and Data Science from Texas A&M Institute of Data Science! The grants follow: 1) Xinyu Li and Suphanut Jamonnak: Optimizing Urban Vehicle Fleet Through Multi-Agent Reinforcement Learning: Integrating Built Environment…

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  • Call for Paper/Panel Sessions and Presentations

    2025 AAG Annual Meeting, Detroit, Michigan The 11th Symposium on Human Dynamics Research March 24 – March 28, 2025 We are delighted to announce that our Symposium on Human Dynamics Research is entering its 11th year of making significant contributions to the field. As we stand at this pivotal moment, where the world has evolved…

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  • The Urban AI Lab received the most awards

    The Texas A&M Institute of Data Science (TAMIDS) just announced Early Career Collaboration Grant Programs. The Urban AI Lab received the most awards. The news is here. Thanks to the support and all reviewers! This award recognizes the effectiveness of Urban AI approach in training Early Career researchers and expanding the urban research team in the AI…

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  • Interdisciplinary AI Research—Is There a Recipe for Success?

    Milan Sonka, Professor, Department of Electrical and Computer Engineering, University of Iowa April 1, Monday, 2:00pm-3:00pm CDT This event will be held in person in Blocker 220 Online via Zoom: Meeting ID: 974 9688 4861, Password: 923446. Hosted by: Xinyue Ye, TAMIDS-Urban AI Lab and LAUP

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  • Models for online behavioral research

    Hosted by GeoSAT and TAMIDS’s Urban AI Lab Time: 230-330pm on Feb 21 (Wednesday) Location: Join Zoom Meeting Meeting ID: 914 7838 0129 Passcode: 751480 Abstract: The study of the social dimensions of the internet is at an acute crisis point. There has been a general rolling back of data access to studying what happens online, most dramatically recently with…

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  • Get Paid to Tell Better Stories in GIS

    Speaker: Dr. Fahui Wang (Cyril & Tutta Vetter Alumni Professor and Associate Dean of the Pinkie Gordon Lane Graduate School, Louisiana State University). Time: February 23 (Friday) from 330pm-430pm Location: Langford Adam’s Presentation Room (A212) Abstract: This presentation uses 5 themes to demonstrate how GIS helps tell better stories across humanities and social sciences, and…

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  • Data science in local government planning

    Host: Jiaxin Du, Dept. of Landscape Architecture and Urban Planning, TAMU Time: 2:00-3:00 p.m. US Central Time (Wednesday, February 28th, 2024)Location: John R. Blocker Building 220, TAMU, College Station, TX 77843-3156RSVP: https://forms.gle/U7NQp5GLQz8EMAmp7 Summary We will commence with introductions, setting the stage for a deep dive into how GeographicInformation System (GIS) and Data Science tools and…

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  • Fall 2023 Data Science Seminar Series

    Budhendra Bhaduri–Geography, Mapping, and the Nation’s Energy Mission: An Oak Ridge Experience October 2, Monday, @ 2:00 pm – 3:00 pm CDT Location: Blocker 220 October 2, Monday, 2-3pm CDT, “Geography, Mapping, and the Nation’s Energy Mission: An Oak Ridge Experience”. The seminar is in person in Blocker 220. Drinks and snacks will be served. The seminar will also be…

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  • Blt Enviro Talk Series-Zhuangyuan Fan(August-24)

    Urban Visual Intelligence: Revealing Hidden City Profiles from Image Records of City

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