Research

My research interests can be broadly categorized into three main areas: 

1. Urban Data Science and Analytics

   • Developing data-driven tools and platforms to support urban planning and design decision-making

   • Applying machine learning and AI techniques for urban systems optimization and prediction

   • Leveraging big data analytics and urban informatics to uncover insights and patterns in urban environments

2. Sustainable Urban Development

   • Investigating the potential of smart city technologies and infrastructure to promote sustainability and resilience

   • Exploring green mobility solutions and alternative transportation options in urban contexts

   • Assessing neighborhood-level energy efficiency and environmental impact using data-driven approaches

3. Interdisciplinary Approaches to Urban Problem-Solving

   • Utilizing computer vision applications for urban infrastructure assessment in developing regions

   • Employing game theory and simulation to model stakeholder decisions in sustainable infill development

   • Integrating knowledge representation techniques and comprehensive data integration for holistic urban development strategies