Research Assistant
University of Washington
Seattle, WA, United States
Mehrdad Nasri is a Ph.D. student in Transportation Engineering at the University of Washington's Department of Civil and Environmental Engineering. He works as a research assistant at the STAR Lab under Professor Yinhai Wang, focusing on applying artificial intelligence and machine learning to transportation safety analysis. Mehrdad has published papers utilizing statistical models for safety analysis and has a strong background in transportation safety. With over seven years of experience as a consultant transportation engineer, he has participated in projects involving transportation planning, highway design, traffic impact assessment, blackspot management, safety audits, logistics planning, and intelligent transportation systems.
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AI & ML for Safety: Analyzing Connected Vehicle Data for Turning Movement Counts at Intersections
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT
Analyzing Multi-Modal Road User Behavior with Big Data: Insights for Intersection Safety
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT
Cooperative Perception-Based Vehicle Trajectory Prediction and Conflict Estimation
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT
Improving Nighttime Driving Safety: Machine Learning for Street Luminaire Detection and Localization
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT
Zero-shot Learning based Cyclists Detection through Surveillance Systems
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT