Design, Construction and Planning
Urban AI Laboratory
Led by Shenhao Wang · Urban and Regional Planning
Auto-generated from UF undergraduate research symposium abstracts
What we study
The Urban AI Laboratory studies how cities work using computer models and data. It focuses on making urban decisions fairer and more efficient by analyzing how people move and live in cities.
What working here is like
- Computational
- Coding required
- Papers
- 5
Recent papers, explained
- Graph neural networks for residential location choice: Connection to classical logit models
2026 · Transportation Research Part B Methodological
- Decarbonizing emissions from last-mile deliveries in Chinese cities
2026 · Nature Cities
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- A scalable framework with explicit mechanism-guided modeling via relation equation for urban origin-destination estimation
2026 · Transportation Research Part C Emerging Technologies
- Digital Distortions: Auditing Bias in Large Language Model-Based Career Recommendations
2026 · IEEE Intelligent Systems
Shows how large language models may unfairly recommend careers based on social biases.
- A vision-enhanced multimodal framework for accurate building energy load forecasting
2026 · Building and Environment
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Shenhao Wang hasn't set up this page yet. Their UF Scholars profile lists their publications.
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Open positions
No positions posted right now. Many labs still take undergrads who reach out to them, so see how to get in touch.