
Newark Heat Vulnerability & Resilience
Newark Cool Roofs Pilot Program
Designing a comprehensive cool roof pilot program for Newark's municipal buildings, integrating energy benchmarking, workforce development, and policy recommendations to combat urban heat island effects...

Symmons Water Management AI Platform
AI-Powered Water Conservation & Predictive Maintenance
Developed AI-driven water management system for smart buildings, integrating IoT sensors with machine learning to enable proactive water conservation and infrastructure management across urban properties...

Municipal EV Fleet Transition Framework
An Analytical Framework for Municipal EV Fleet Transition and Energy Infrastructure Planning in Newark, NJ
Developing a comprehensive analytical framework to guide Newark's transition to zero-emission municipal fleet, integrating GIS analysis, infrastructure planning, and policy recommendations for equitable transportation electrification...

Maine DOT Pedestrian Volume Estimation
Developing a pedestrian volume model to support infrastructure and safety planning
This project addresses the lack of pedestrian volume data in Maine by developing a comprehensive model to estimate pedestrian activity, enabling better decision-making around non-motorized street user needs...

Sidewalk Ballet
Computer Vision Analysis of Pedestrian Behavior
Using computer vision to analyze pedestrian behavior patterns from street-level video footage, identifying the relationship between built environment features and social interactions...

Automating Topology Corrections for Fragmented Networks
An LLM-based interpretable model for pedestrian and cycling infrastructure
This thesis research develops an automated system for correcting fragmented network structures in pedestrian and cycling infrastructure using graph-based diffusion models and LLM reasoning...

Boston Walker
Analyzing Pedestrian Behavior and Infrastructure
The Boston Walker project examines pedestrian movement patterns and infrastructure quality throughout Boston to identify areas for improvement and enhance walkability...

Neighborhood Archetypes
Using Data Science to Understand Urban Patterns at the Census Tract Level
This project uses multi-dimensional clustering techniques to identify latent patterns in census tract-level data, creating a comprehensive typology of neighborhood archetypes across US metropolitan areas...