EB1A Success Story: How We Helped a Research Assistant Get Approved with No RFE Issues
Client’s Testimonial:
“Thanks a lot for the help!! So happy that it gets approved!”
On July 2nd, 2025, we received another EB-1A (Alien of Extraordinary Ability) approval for a PhD Candidate & Research Assistant in the Field of Natural Language Processing and Speech Processing (Approval Notice).
General Field: Natural Language Processing and Speech Processing
Position at the Time of Case Filing: PhD Candidate & Research Assistant
State of Residence at the Time of Filing: Massachusetts
Approval Notice Date: July 2nd, 2025
Processing Time: 15 months, 14 days
Case Summary:
We are pleased to share the success story of a deep learning researcher whose I-140 EB1A (Extraordinary Ability) petition was approved after 15 months and 14 days. This approval highlights the national and global significance of his contributions to natural language processing and speech processing, particularly in advancing deep neural networks for language understanding and speech-based applications.
The client holds a master’s degree in electrical engineering and computer science and is currently conducting research in deep learning technologies. His work focuses on the design and analysis of self-supervised learning (SSL) algorithms to enhance performance in speech and natural language processing systems. These advancements support a wide range of critical applications, from improving human-computer interaction to strengthening defense-related voice recognition technologies.
Filed under the EB-1A category, the petition featured:
● 22 peer-reviewed conference papers (9 of them first- or co-first-authored, and 3 already accepted for publication),
● 1 accepted journal article and 3 preprints,
● A total of 1,248 citations according to Google Scholar,
● At least 51 completed peer reviews for leading journals and conferences.
The petition emphasized the originality and breadth of his work in areas such as multilingual modeling, SSL frameworks, and low-resource language development. We provided evidence that his publications have significantly influenced both academic studies and real-world applications, including speech recognition systems for underrepresented languages and secure voice-based technologies for national defense.
In addition, we highlighted that the client’s research has received funding from highly selective U.S. government institutions, including the Air Force Research Laboratory (AFRL), affirming its strategic value.
To further support the petition, we submitted four letters of recommendation from distinguished experts in the field. These letters validated the client’s exceptional standing and the transformative nature of his research.
“It is essential that he receives permission to continue his research in the United States.”
With a strong petition demonstrating the scientific merit, broad applicability, and national importance of his contributions, NAILG successfully secured a favorable EB1A outcome for this outstanding deep-learning expert. We are proud to have supported his immigration journey and look forward to the innovations he will continue to bring to natural language and speech technologies.

