Case Summary:            

We are pleased to share the success story of an EB-2 NIW (National Interest Waiver) approval granted to a computer science researcher from Iran whose work is helping advance artificial intelligence solutions for smart infrastructure and safety technologies. At the time of filing, the client was engaged in academic research and had already produced impactful work in AI model architecture design, mobility prediction, and autonomous systems.

Background and Proposed Endeavor:
 The client holds a Master’s degree in computer science and has developed a focused research agenda centered on the design of advanced AI model architectures. His proposed endeavor aims to enhance public safety, healthcare efficiency, and transportation outcomes by addressing critical challenges such as indoor human/asset occupancy, traffic flow prediction, and autonomous driving. These efforts are essential for preventing transportation-related accidents, improving mobility infrastructure, and facilitating resource allocation in health and urban systems.

Well Positioned to Advance the Proposed Endeavor:
 The client has demonstrated a clear capacity to advance this endeavor. At the time of filing, he had authored 13 peer-reviewed conference articles – an impressive volume of scholarly work, especially in computer science, where conference publications hold significant academic prestige. His publications have collectively received 21 citations according to Google Scholar, and one paper ranked among the top 10% most-cited articles in the field of computer science for its publication year. His research has already influenced other studies in areas such as indoor mobility prediction, federated learning for rider interaction, and behavioral modeling for micro-mobility systems.

In addition to authorship, the client has made professional contributions as a peer reviewer, having completed at least 9 reviews for respected journals and conferences. His inclusion in the peer review process reflects the trust the academic community places in his subject-matter expertise.

Moreover, the client’s work has earned support from prominent funding agencies, including the National Science Foundation and NVIDIA. These funding sources are well known for backing research initiatives that align with national interests and emerging technological priorities. His ongoing and future research, ranging from data-driven safety systems to scalable AI for city-wide infrastructure, continues to align with the national focus on reducing traffic-related fatalities and optimizing smart system design.

Testimonial Support:
 The petition was strengthened by four letters of recommendation from leading experts in computer science and related domains. These letters confirmed the client’s technical skillset, the originality of his contributions, and the practical significance of his work in real-world applications.

“These requirements are why scholars well-versed in statistical analysis, probability theory, and anomaly detection are pivotal. Unfortunately, these computer scientists are in rare supply, which therefore underscores the significance of [Client’s] work to the U.S.”

Final Result:
 Thanks to the strategic presentation of the client’s academic achievements, citation impact, funding support, and national relevance of the proposed endeavor, NAILG successfully secured EB-2 NIW approval from USCIS. The petition was approved in February 2025. We are proud to have played a role in helping this promising researcher continue his innovative work in the United States and contribute to critical national priorities in artificial intelligence and transportation safety.