Success Story: NIW Victory Under Premium Processing For An Information Science Researcher Advancing Privacy-Preserving Generative AI

 

Client’s Testimonial:

“Wow! This is surreal! I was honestly expecting an RFE seeing all the posts from Reddit. Glad that it didn't turn out that way! Thanks a lot for handling my case so professionally!”

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On February 13^th, 2026, we received another EB-2 NIW (National Interest Waiver) approval for a Student and Teaching Assistant in the Field of Information Science (Approval Notice).

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General Field: Information Science

Position at the Time of Case Filing: Student and Teaching Assistant

Country of Origin: Bangladesh

State of Residence at the Time of Filing: New Jersey

Approval Notice Date: February 13^th, 2026

Processing Time: 1 month, 15 days (Premium Processing Requested)

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Case Summary:  

An I-140 EB-2 NIW petition, filed with Premium Processing from the outset, was approved for the client, an information science researcher whose work supports safer and more trustworthy generative AI. The client is currently conducting research at a U.S.-based research university, focusing on technical and sociotechnical approaches that reduce hallucinations while protecting user data and enabling responsible adoption in high-impact settings.

Research Leadership and Global Recognition

The client’s proposed endeavor is to continue developing privacy-preserving frameworks for generative AI that reduce hallucinations in order to protect user data, build public trust, and enable the safe and equitable deployment of AI in education, healthcare, and public services. In the petition, we framed this endeavor as an area of clear, substantial merit and national importance because reliable, privacy-aware AI systems are increasingly embedded in real-world workflows where errors and information leakage can cause concrete harm.

Rather than presenting the endeavor as a broad ambition, we emphasized how the client’s work targets specific barriers to safe deployment, including evaluating and mitigating hallucination behaviors and building auditing methods that help developers and decision-makers assess privacy risks more transparently.

Impressive Credentials and Achievements

To demonstrate the client’s significance and show that they are well-positioned to advance the endeavor, we documented an objective record of peer-reviewed output, independent reliance, and peer trust:

• A bachelor’s degree in electrical and electronic engineering
• Publications: 7 peer-reviewed conference articles (3 first-authored) and 5 preprints
• Citations: 847 citations to the client’s published body of work
• Peer review service: at least 8 completed reviews

Rather than presenting these metrics as merely self-evident, we translated them into a clear narrative of impact. We presented the citation record as evidence of independent reliance, meaning other researchers have used the client’s methods and findings to inform and validate their own work. We also contextualized impact using field-and year benchmarks, highlighting that the client authored work that ranked among the top-cited articles for its publication year in computer science, including one in a top 10% tier and two in top 20% tiers. Peer review service was presented as a separate trust signal, since reputable venues generally invite reviewers who have demonstrated expertise and sound judgment in the area.

NIW Approval and Outlook

USCIS approved the client’s NIW petition in just over 1 month without an RFE. This approval reflects a cohesive presentation of national importance and strong positioning, supported by a substantial publication record, clear independent reliance through citations, and demonstrated peer trust through review service. The client is now well-positioned to continue advancing privacy-preserving generative AI frameworks that reduce hallucinations and support safer deployment across U.S. education, healthcare, and public-facing services.