Research Lab

Spatial Intelligence Lab (SpinLab)

Where Space Meets Intelligence

SIL is a forward-thinking research lab exploring how AI transforms the spatial disciplines—architecture, cities, interiors, and communities.

10+

Research Projects

25+

Team Members

15+

Publications

8+

Partnerships

About Us

What We Do

Our interdisciplinary team explores the intersection of spatial design and artificial intelligence, developing innovative approaches to architecture, urban planning, and spatial computing.

AI-assisted Design

Exploring how artificial intelligence can enhance and transform design processes in architecture and urban planning, creating more efficient and innovative spatial solutions.

Spatial Data Analysis

Leveraging advanced algorithms to analyze spatial data and develop smart environments that respond intelligently to human needs and environmental factors.

Human-Centered Approaches

Developing intelligent cities and interiors with a focus on human experience, ensuring technology enhances rather than complicates our interaction with spaces.

Interdisciplinary Studies

Bridging the gap between communities, space, and technology through collaborative research that draws from multiple disciplines and perspectives.

Our Focus

Research Focus

Our research spans multiple domains, combining spatial intelligence with cutting-edge AI technologies.

Generative Design

AI-powered design exploration and optimization

Urban Intelligence

Smart city planning and analysis

Human-AI Collaboration

Interfaces for human-AI design partnerships

Community-Centered Tech

Technology that serves community needs

GIS + Machine Learning

Spatial data analysis with AI

Spatial Computing

AR/VR and embodied intelligence

Featured Project

AI-Enhanced Urban Planning

Exploring how machine learning can help create more sustainable, equitable, and efficient urban environments.

AI-Enhanced Urban Planning

Reimagining Cities with AI

Our flagship project combines machine learning with traditional urban planning methodologies to create more responsive, adaptive city designs that prioritize human wellbeing, sustainability, and community needs.

1

Predictive modeling for traffic flow optimization

2

Green space allocation based on community health metrics

3

Climate-responsive architecture recommendations

4

Equity-focused resource distribution algorithms

Partners

Supported By

Our research is made possible through collaboration with these organizations.

Open Access Foundation

oafn.org

Solearth Architecture

solearth.com

Join Our Research Community

Stay updated on our latest research, publications, and events. Connect with researchers and practitioners in spatial intelligence.