URBAN AI LAB | UF

Leading the transformation of future cities with artificial intelligence and computational science

Urban AI Lab is a pioneering research hub dedicated to integrating artificial intelligence with the interdisciplinary domains in urban planning, civil engineering, and the built environment.

Our mission is to advance the fundamental theory of urban science through AI-driven approaches. The lab’s research focuses on three key themes: Resilient Urban AI, Ethical Urban AI, and Generative Urban AI.

About Urban AI Lab

At Urban AI Lab, we push the boundaries of urban science, leveraging AI to create smarter and more equitable cities.

See our research

See our team

Featured News

Our team has published our latest research paper "Robust Transit Frequency Setting Problem With Demand Uncertainty" in IEEE Transactions on Intelligent Transportation Systems!
This study addresses a critical gap in transit schedule design b

Lately, our team has published our latest research paper "Uncertainty Quantification of Spatiotemporal Travel Demand with Probabilistic Graph Neural Networks" in IEEE Transactions on Intelligent Transportation Systems!

This study addresse

🎉 Congratulations to @ryan_lester Ryan Lester, a second-year master's student in urban and regional planning at the University of Florida and a Research Associate at Urban AI Lab, for winning 2nd place in the APA Transportation Planning Division 202

Exciting news! We got another paper published in Nature Cities, immediately following the publishment of our first paper!

This paper tackles a timely topic: the impacts of remote work on vehicle miles traveled and transit ridership in the United St

Nature Publication: Impacts of remote work on vehicle miles traveled and transit ridership in the United States

🎉 We're thrilled to announce another paper accepted by Nature Cities, immediately following the acceptance of our first paper! This pape

🎓 Last Call for Application to Master of Science in Urban Analytics @ UFL

The Master of Science in Urban Analytics (MSUA) program at the University of Florida is designed to equip graduates with a strong foundation in computing, urban science, data

We are thrilled to announce the publication of our latest research paper in Transportation Research Part B: " Deep hybrid model with satellite imagery: How to combine demand modeling and computer vision for travel behavior analysis?".

Thi

🌟 Exciting Opportunity: Postdoc Positions at University of Florida!

The Urban AI Lab at the University of Florida (UFL) is hiring two Postdoctoral Researchers to contribute to our cutting-edge research in the field of Adaptive Mobility Services fo

🎉 Exciting news! Our paper got accepted by Nature Cities! It's the first-of-its-kind breakthrough in the field of urban planning and computing. Titled as "Infrequent Activities Predict Economic Outcomes in Major American Cities," the paper

🎓Last Call for Applying for Fall 2024 Fully-Funded Ph.D. Positions at the University of Florida’s Urban AI Lab (Dr. Shenhao Wang)🎓

The research conducted at the Urban AI Lab is dedicated to utilizing cutting-edge artificial intelligence meth

📣 We are thrilled to announce the publication of our latest research paper in the IEEE Open Journal of Intelligent Transportation Systems: ”Fairness-Enhancing Deep Learning for Ride-Hailing Demand Prediction“. 🗺️🚌

🚖 This paper tackle

🎉Urban AI Lab Winning UFL Research Opportunity Seed Fund!🌱

We are excited to announce that our team has been honored to receive funding from the 2023 UF Research Opportunity Seed Fund (ROSF) for our project: Developing Graph Neural Networks to Qua

Our team has published our latest research paper "Robust Transit Frequency Setting Problem With Demand Uncertainty" in IEEE Transactions on Intelligent Transportation Systems!
This study addresses a critical gap in transit schedule design b

Lately, our team has published our latest research paper "Uncertainty Quantification of Spatiotemporal Travel Demand with Probabilistic Graph Neural Networks" in IEEE Transactions on Intelligent Transportation Systems!

This study addresse

🎉 Congratulations to @ryan_lester Ryan Lester, a second-year master's student in urban and regional planning at the University of Florida and a Research Associate at Urban AI Lab, for winning 2nd place in the APA Transportation Planning Division 202

Exciting news! We got another paper published in Nature Cities, immediately following the publishment of our first paper!

This paper tackles a timely topic: the impacts of remote work on vehicle miles traveled and transit ridership in the United St

Nature Publication: Impacts of remote work on vehicle miles traveled and transit ridership in the United States

🎉 We're thrilled to announce another paper accepted by Nature Cities, immediately following the acceptance of our first paper! This pape

We are thrilled to announce the publication of our latest research paper in Transportation Research Part B: " Deep hybrid model with satellite imagery: How to combine demand modeling and computer vision for travel behavior analysis?".

Thi

🌟 Exciting Opportunity: Postdoc Positions at University of Florida!

The Urban AI Lab at the University of Florida (UFL) is hiring two Postdoctoral Researchers to contribute to our cutting-edge research in the field of Adaptive Mobility Services fo

🎉 Exciting news! Our paper got accepted by Nature Cities! It's the first-of-its-kind breakthrough in the field of urban planning and computing. Titled as "Infrequent Activities Predict Economic Outcomes in Major American Cities," the paper

🎓Last Call for Applying for Fall 2024 Fully-Funded Ph.D. Positions at the University of Florida’s Urban AI Lab (Dr. Shenhao Wang)🎓

The research conducted at the Urban AI Lab is dedicated to utilizing cutting-edge artificial intelligence meth

📣 We are thrilled to announce the publication of our latest research paper in the IEEE Open Journal of Intelligent Transportation Systems: ”Fairness-Enhancing Deep Learning for Ride-Hailing Demand Prediction“. 🗺️🚌

🚖 This paper tackle

🎉Urban AI Lab Winning UFL Research Opportunity Seed Fund!🌱

We are excited to announce that our team has been honored to receive funding from the 2023 UF Research Opportunity Seed Fund (ROSF) for our project: Developing Graph Neural Networks to Qua

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