Success Story: NIW Approved for a Civil Engineering Researcher Advancing AI and Deep Learning for Infrastructure and Built Environments
Client’s Testimonial:
"Working with WeGreened was a fantastic experience. They are professional in providing suggestions and answering my questions promptly every time."
On February 5th, 2026, we received another EB-2 NIW (National Interest Waiver) approval for a Data Scientist in the Field of Civil Engineering (Approval Notice).
General Field: Civil Engineering
Position at the Time of Case Filing: Data Scientist
Country of Origin: Taiwan
State of Residence at the Time of Filing: California
Approval Notice Date: February 5th, 2026
Processing Time: 10 months, 8 days (Premium Processing Upgrade Requested)
Case Summary:
We are pleased to share the success of an I-140 National Interest Waiver (NIW) petition filed on behalf of a civil engineering researcher whose work is strengthening how the built environment is analyzed, maintained, and improved through artificial intelligence. The client, currently employed as a data scientist in the United States, leverages expertise in AI-powered automation, construction engineering, and remote sensing to develop practical deep learning approaches that support transportation and infrastructure analysis, facility maintenance and management, and construction applications.
Pioneering Research in AI-Enabled Infrastructure Analysis The client’s proposed endeavor is to develop state-of-the-art artificial intelligence and deep learning approaches to assist in key feature extraction in built environments, along with sustainable applications in transportation and infrastructure analysis, facility maintenance and management, and construction. In the petition, we framed this work in outcome-driven terms: better automated extraction of critical features from engineering and infrastructure data can reduce manual bottlenecks, improve consistency in assessment, and help stakeholders act earlier on safety, reliability, and sustainability needs.
We also emphasized that the client’s contributions extend across multiple use cases that matter for modern infrastructure workflows, including automated interpretation of complex engineering drawings, scalable conversion of built-environment information into digital models, and data-driven methods for transportation and mobility planning. This helped demonstrate substantial merit and national importance by connecting advanced AI methods to real-world infrastructure efficiency, safety, and environmental performance.
Scholarly Recognition and Global Impact To support that the client is well-positioned to advance the endeavor, we documented a record of peer-reviewed output and independent research uptake: ● 3 peer-reviewed journal articles (2 first-authored), 3 peer-reviewed conference articles (2 first-authored), and 2 accepted first-authored articles ● 29 citations to the client’s published work ● At least 9 completed peer reviews for leading conferences in aligned subject areas
To provide context for these metrics, we demonstrated that citations serve as evidence of independent reliance when other researchers repeatedly reference the client’s methods to inform or validate their own work. The petition further contextualized influence by noting that multiple publications achieved strong field and year-normalized performance, including one paper in a top citation percentile tier. We also framed peer review activity as a trust indicator, confirming that reputable venues invite the client because their expertise and judgment are respected by the community.
International Acclaim and Advisory Endorsements To further strengthen the record, the petition included 4 letters of recommendation from experts familiar with the client’s work, including independent advisory opinions. These letters helped translate specialized AI and remote sensing contributions into clear, field-facing significance and corroborated the objective evidence of influence and continued potential.
“As [Client] has produced highly valuable research in this regard, there is an ongoing demand for her particular expertise.”
A Strongly Documented Case of Sustained Excellence This NIW approval reflects a cohesive presentation of the client’s research direction and its broad value to U.S. infrastructure and construction innovation. By organizing the evidence around national importance, demonstrated progress through peer-reviewed publications, independent reliance reflected in citations, and sustained peer trust through review invitations and external support, the petition showed that the client is well-positioned to continue advancing AI-enabled infrastructure analysis and that, on balance, waiving the job offer and labor certification requirements benefits the United States.