Success Story: NIW Approved Without an RFE for a Graduate Researcher in Computer Science from Bangladesh
Client’s Testimonial:
"I truly appreciate the support and guidance your team has provided throughout the process.”
On March 9th, 2026, we received another EB-2 NIW (National Interest Waiver) approval for a Graduate Researcher in the Field of Computer Science (Approval Notice).
General Field: Computer Science
Position at the Time of Case Filing: Graduate Teaching Assistant
Country of Origin: Bangladesh
State of Residence at the Time of Filing: Idaho
Approval Notice Date: March 9th, 2026
Processing Time: 25 months, 1 day
Case Summary:
"This, along with [Client]’s role as a peer reviewer for scientific venues within [Client]’s field, clearly establishes [Client]’s standing as an invaluable asset to the computer science field."
The statement above is taken from one of the two recommendation letters submitted as part of the EB-2 NIW (National Interest Waiver) petition for a researcher holding an M.S. in computer science from Bangladesh. Drawing on our extensive experience and a proven track record of over 32,000 successful cases, our expert team meticulously crafted a compelling petition on the client's behalf.
Client Background and Proposed Endeavor
The client, a graduate teaching assistant in the field of computer science, proposes an endeavor to continue research on using machine learning algorithms for phishing email detection. With a strong foundation in hyperspectral image classification, machine learning-augmented healthcare diagnostics, and neural model development for early-stage disease detection, the researcher brings a uniquely interdisciplinary perspective to advancing cybersecurity and software quality research.
National Significance of the Research
We emphasized that this research carries significant importance and has far-reaching implications for the United States. Phishing attacks remain one of the most pervasive and costly cyberthreats facing American businesses, government agencies, and individuals, making the development of machine learning-based detection systems a direct national security priority.
To further strengthen the case, we highlighted exceptional credentials:
- Publications: 12 peer-reviewed conference papers (5 of them first-authored) and 4 accepted papers (1 of them first-authored).
- Citations: The work has been cited 105 times.
- Peer Review Service: completed at least 3 reviews to date.
Case Outcome
Considering the strength of the accomplishments and the national importance of the proposed endeavor, we are delighted to share that this NIW petition was approved in approximately 25 months without an RFE. We are honored to have supported the client throughout this journey and extend our sincere best wishes for continued success in both research and career pursuits.

