Success Story: NIW Approved for Electrical & Computer Engineering Researcher Advancing Computational Electromagnetics following RFE
On July 31st, 2025, we received another EB-2 NIW (National Interest Waiver) approval for a Research Assistant in the field of Electrical and Computer Engineering (Approval Notice).
General Field: Electrical and Computer Engineering
Position at Time of Filing: Research Assistant
Country of Origin: China
State of Residence at the Time of Filing: North Carolina
Approval Notice Date: July 31st, 2025
Processing Time: 6 months, 21 days (Premium Processing Requested)
Case Summary:
We are pleased to share the success story of an EB-2 NIW approval granted to a researcher whose expertise in computational electromagnetics drives advancements in remote sensing, antenna design, energy exploration, and communication systems. By combining machine-learning frameworks with inverse-scattering algorithms, his work addresses critical needs in reliable wireless connectivity and industrial monitoring, which are key to U.S. technological leadership and economic resilience.
Research Focus and Contributions
The petition detailed his proposed endeavor of enhancing computational electromagnetic algorithms to solve inverse-scattering and design challenges, enabling high-performance remote sensing, optimized antenna architectures, and scalable energy-exploration systems. This program leverages advanced machine-learning strategies to improve imaging fidelity in complex environments and to streamline antenna-optimization workflows for faster, more accurate system design.
Research Impact and Metrics
To demonstrate his influence, the petition highlighted his strong academic record, including:
- Documented in 5 peer-reviewed journal articles (2 first-authored), 3 peer-reviewed conference articles, and 1 technical report
- 131 citations across leading engineering journals, including one article in the top 10 percent most-cited for its publication year
- Completed at least 2 invited manuscript reviews for a leading journal in neural networks and computational methods
Demonstrating Substantial Merit & National Importance
We showed that these algorithms directly enhance U.S. strategic priorities by improving remote surveillance, optimizing network reliability, and supporting energy-efficient industrial applications, thereby reducing downtime risks and bolstering infrastructure performance for critical sectors.
Well Positioned to Advance the Proposed Endeavor
His rigorous academic training in computational electromagnetics and machine learning, coupled with his research appointment at a major U.S. institute, established a strong foundation for continued innovation. Independent advisory letters confirmed his capacity to translate complex simulations into practical solutions that will drive future breakthroughs in telecommunication and sensing technologies.
Approval and Outcome
The petition was filed on January 10, 2025, with direct premium processing. Following a targeted RFE response submitted on March 13, 2025, the petition was approved on July 31, 2025. The total processing time was 6 months and 21 days, underscoring the national interest in retaining his exceptional talents in computational electromagnetics. NAILG is proud to have guided this client through a smooth NIW process and looks forward to his continued contributions to U.S. science and technology.

