16 citations · 29 across the 7 of their papers we have counts for
8 papers
From Community Values to AI Design Constraints: A Mixed-Methods Study of a Proposed AI-Driven Wildfire Risk Assessment Tool in Los Angeles County
Sanaz Sadat Hosseini, Mona Azarbayjani, Mohammad Pourhomayoun +1
AI-driven hazard tools are increasingly proposed for resident-facing risk communication. However, residents are often asked for feedback only after decisions about data use, privac…
Community-Led AI Integration for Wildfire Risk Assessment: A Participatory AI Literacy and Explainability Integration (PALEI) Framework in Los Angeles, CA
Sanaz Sadat Hosseini, Mona Azarbayjani, Mohammad Pourhomayoun +1
Climate-driven wildfires are intensifying, particularly in urban regions such as Southern California. Yet, traditional fire risk communication tools often fail to gain public trust…
Real-Time Bus Departure Prediction Using Neural Networks for Smart IoT Public Bus Transit
Narges Rashvand, Sanaz Sadat Hosseini, Mona Azarbayjani +1
Bus transit plays a vital role in urban public transportation but often struggles to provide accurate and reliable departure times. This leads to delays, passenger dissatisfaction,…
Understanding the Transit Gap: A Comparative Study of On-Demand Bus Services and Urban Climate Resilience in South End, Charlotte, NC and Avondale, Chattanooga, TN
Sanaz Sadat Hosseini, Babak Rahimi Ardabili, Mona Azarbayjani +2
Urban design significantly impacts sustainability, particularly in the context of public transit efficiency and carbon emissions reduction. This study explores two neighborhoods wi…
Towards Understanding the Benefits and Challenges of Demand Responsive Public Transit- A Case Study in the City of Charlotte, NC
Sanaz Sadat Hosseini, Mona Azarbayjani, Jason Lawrence +1
Access to reliable public transportation is essential for addressing socio-economic disparities, particularly in low-income communities that rely heavily on transit for accessing j…
Real-Time Bus Arrival Prediction: A Deep Learning Approach for Enhanced Urban Mobility
Narges Rashvand, Sanaz Sadat Hosseini, Mona Azarbayjani +1
In urban settings, bus transit stands as a significant mode of public transportation, yet faces hurdles in delivering accurate and reliable arrival times. This discrepancy often cu…
A Novel Fully Annotated Thermal Infrared Face Dataset: Recorded in Various Environment Conditions and Distances From The Camera
Roshanak Ashrafi, Mona Azarbayjania, Hamed Tabkhi
Facial thermography is one of the most popular research areas in infrared thermal imaging, with diverse applications in medical, surveillance, and environmental monitoring. However…
Machine Learning-Based Automated Thermal Comfort Prediction: Integration of Low-Cost Thermal and Visual Cameras for Higher Accuracy
Roshanak Ashrafi, Mona Azarbayjani, Hamed Tabkhi
Recent research is trying to leverage occupants' demand in the building's control loop to consider individuals' well-being and the buildings' energy savings. To that end, a real-ti…