Success Stories: NAILG Secures 17-Day EB1A Approval for Chinese Assistant Scientist
Client’s Testimonial:
“Thank you so much for your help and support along the way. My sincerest gratitude.”
On September 4th, 2025, we received another EB-1A (Alien of Extraordinary Ability) approval for an Assistant Scientist in the field of Civil Engineering (Approval Notice).
General Field: Civil Engineering
Position at the Time of Filing: Assistant Scientist
Country of Origin: China
State of Residence at the Time of Filing: New York
Approval Notice Date: September 4th, 2025
Processing Time: 17 days (Premium Processing Requested)
Case Summary:
NAILG recently secured the approval of an EB1A (Alien of Extraordinary Ability) petition for a civil engineering researcher specializing in artificial intelligence (AI)-based probabilistic modeling of advanced engineering systems, computational modeling of dynamical systems, and interdisciplinary AI approaches for modeling multiphysics phenomena. This case was approved in only 17 days, reflecting the strength of the petition and the importance of the client’s work.
Advancing Civil Engineering with AI
The researcher has built a distinguished career at the intersection of civil engineering and artificial intelligence. Their work involves developing machine learning techniques for scientific simulations and design, creating representation learning algorithms for structured and unstructured data, and designing multi-modal fusion and data compression models. These projects address pressing global challenges, such as improving structural safety under uncertain environmental hazards, enhancing predictive accuracy for complex systems, and advancing scientific discovery through improved data representation.
Original Contributions of Major Significance
Among their notable contributions are:
- Developing deep neural networks for civil engineering applications.
- Innovating Bayesian deep learning techniques for modeling complex physical systems.
- Creating implicit neural representation methods for scientific data compression.
These advances have not only addressed critical gaps in the field but have also inspired further research and applications in engineering safety and modeling.
Recognition and Research Record
The researcher’s influence is demonstrated through their strong academic and professional record:
- Authored 11 peer-reviewed journal articles (7 as first author) and 19 peer-reviewed conference papers (7 as first author).
- Works cited more than 200 times, placing them among the top 4% of authors publishing in civil engineering.
- Conducted at least 30 peer reviews for journals and conferences, reflecting recognition of their expertise by peers.
- Research supported by competitive funding from the National Science Foundation, and the Department of Energy.
- Colleagues in the field have highlighted the broad utility and impact of this research:
“The implications of his work offer engineering professionals tools to model complex phenomena, optimize design, and ensure structural safety under dynamic environmental conditions.”
EB1A Approval and Outlook
This EB1A petition was approved in only 17 days, a reflection of both the strong record presented and the careful preparation by NAILG. With this approval, the researcher is now positioned to continue contributing to civil engineering through further work in structural safety, system modeling, and scientific data representation. NAILG is pleased to have secured this swift approval and remains committed to supporting the client’s future endeavors.

