Success Story: NIW Victory Secured! Helping a Bangladesh IT Engineer Succeed Despite RFE Challenges

On July 15^th, 2025, we received another EB-2 NIW (National Interest Waiver) approval for a Management IT Engineer in the Field of Computer Science (Approval Notice).

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General Field: Computer Science

Position at the Time of Case Filing: Management IT Engineer

Country of Origin: Bangladesh

State of Residence at the Time of Filing: California

Approval Notice Date: July 15^th, 2025

Processing Time: 6 months, 29 days (Premium Processing Requested)

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Case Summary:    

We are pleased to share the success story of an EB-2 NIW (National Interest Waiver) approval granted to a computer science expert whose research is helping advance the application of cost-effective artificial intelligence (AI) solutions for health and cybersecurity. At the time of filing, the client held an M.S. in computer science and had already produced impactful work in AI-driven disease detection and cyber threat prevention.

Research with Substantial Merit and National Importance:  The client’s proposed endeavor focuses on designing intelligent algorithms that enable early disease detection, facilitate automated diagnostics, and strengthen proactive cyber threat management. His work directly contributes to two critical national priorities: advancing healthcare through AI-enhanced clinical tools and fortifying the nation’s cybersecurity infrastructure. These AI applications not only improve diagnostic accuracy and efficiency but also help healthcare systems and cybersecurity operations become more resilient and accessible. Given the growing reliance on machine learning models for critical decision-making in both sectors, the client’s continued research has clear implications for public well-being, digital safety, and economic stability.

Demonstrated Record of Success and Research Impact:  To support the petition, we documented the client’s proven track record of research contributions and scholarly impact:

• 10 peer-reviewed journal articles
• 96 citations, according to Google Scholar
• 1 completed peer review for scholarly publications

This publication and citation record illustrate the client’s influence in advancing practical AI methodologies. His models for disease classification and threat detection have been cited by other researchers and applied across diverse systems, demonstrating both their technical rigor and practical relevance.

Support from the Scientific Community:  The petition was further strengthened by two letters of recommendation from established experts in the fields of computer science and artificial intelligence. These letters emphasized the originality, innovation, and public benefit of the client’s work.

“Thus, [Client] has clearly established himself as a leading researcher and an irreplaceable asset in the field of computer science, and his research is of immense value to the United States.”

These testimonials helped validate that the client’s research has earned significant recognition and has the potential to generate continued national benefits.

NIW Approval and Outlook:  Despite receiving a Request for Evidence (RFE), the client’s petition was approved shortly after the RFE response submission, within less than seven months of the original filing. This positive result affirms both the national significance of his work and his qualifications to carry it forward. NAILG is proud to have supported this talented researcher and looks forward to the continued impact of his contributions to healthcare innovation and cybersecurity enhancement.