Ph.D. Candidate
Civil Engineering · Iran · 2025-05-21
Proposed Endeavor
The petitioner proposes to develop data-driven transportation systems using machine learning and optimization modeling to enhance the efficiency and sustainability of travel networks. Her work focuses on designing predictive models for route optimization, departure scheduling, and integrating drone charging infrastructure into urban delivery networks to reduce congestion and emissions.
Framework Evaluation
3 of 3 criteria metThe endeavor addresses critical challenges in the $1.7 trillion U.S. transportation sector, specifically regarding congestion and CO2 emissions.
The petitioner's record of peer-reviewed publications, high citation percentile, and peer review experience demonstrates her capability to lead this research.
The urgency of infrastructure modernization and climate goals makes it beneficial to waive the labor certification requirement for this highly qualified researcher.
Why This Petition Was Approved
Evidence
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Case data sourced from publicly available petition decisions and case studies. Decision date: 2025-05-21.
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