Success Story: From Electrical Engineering Expert to NIW Approval under Premium Processing in Only 1 Month
Client’s Testimonial:
"Thank you so much for all your support."
On April 11th, 2026, we received another EB-2 NIW (National Interest Waiver) approval for an Expert in the Field of Electrical Engineering (Approval Notice).
General Field: Electrical Engineering
Country of Origin: Bangladesh
State of Residence at the Time of Filing: Texas
Approval Notice Date: April 11th, 2026
Processing Time: 1 month, 9 days (Premium Processing Requested)
Case Summary:
As AI systems become increasingly embedded in critical infrastructure, the question of how to make that hardware energy-efficient, reliable, and resistant to exploitation has grown into a pressing national priority. In this NIW case, North America Immigration Law Group (Chen Immigration Law Associates) represented an expert in the field of electrical engineering.
Holding an M.S. in electrical engineering, our client built a strong case around research focused on developing and characterizing analog circuit-based neural network hardware architectures, designing hardware-friendly AI algorithms, and evaluating their performance under harsh environmental conditions and security threats, to enable low-power, accurate, and resilient AI hardware for deployment in extreme and security-critical environments.
Research That Connects Circuit Design and National Security
Through the application of analog circuit engineering and hardware-aware machine learning techniques, our client's research advances AI hardware that can operate reliably under conditions where conventional digital systems fall short. In preparing the petition, we emphasized that this research addresses two simultaneous national needs: reducing the enormous energy footprint of AI infrastructure and strengthening the security of embedded systems against exploitation. We further highlighted how the client's work aligns with key federal priorities in semiconductor innovation, trustworthy AI development, and the protection of critical digital infrastructure across the United States.
A Record of Scholarship, Trust, and Growing Impact
The client's research has resulted in 3 peer-reviewed conference papers (1 of them first-authored), 1 peer-reviewed journal article, 1 first-authored abstract, and 1 technical report. In preparing the petition, we took care to contextualize this record within the well-established conventions of electrical engineering and computer science, where peer-reviewed conference publications carry equal and often greater prestige than journal articles and are widely recognized as the primary medium for scholarly contribution in the field.
The client's standing in the research community was further supported by citation impact. With 21 citations to the published body of work, independent researchers had already built directly upon the client's findings, including in the areas of active inductor design and automated irrigation system management, providing concrete evidence of real-world research influence.
Support for Work with Broader Scientific Value
A key feature of the case was research funding. The client's work had received support from the National Science Foundation (NSF) and NSF's Center for Hardware and Embedded Systems Security and Trust (CHEST), organizations whose missions are explicitly tied to advancing scientific progress, national security, and hardware trust. This funding served as an important objective indicator that the client's research had been recognized as valuable and worthy of investment. When combined with the publication record and citation history, the funding helped reinforce that the client was well-positioned to continue making meaningful contributions in analog AI hardware development and security evaluation.
The Result
This NIW approval reflected a clear and well-supported case for the national importance of energy-efficient, secure AI hardware in an era of rapidly expanding digital infrastructure. Notably, the petition was approved in just over 1 month under premium processing without RFE. We are delighted by this approval and look forward to the client's continued contributions to analog circuit design, hardware-aware AI, and the advancement of trustworthy, resilient systems that strengthen U.S. technological leadership.

