Success Stories: South Korean Ph.D. in Electrical Engineering and Computer Science Achieves NIW Approval Through NAILG’s Lead
Client’s Testimonial:
“Thank you, and it has been an incredible experience with the firm. Thank you for the detailed response and appreciate all your help throughout this process! It has been an incredible experience with the firm. ”
On February 16th, 2023, we received another EB-2 NIW (National Interest Waiver) approval for a Postdoctoral Scholar in the Field of Artificial Intelligence (Approval Notice).
General Field: Artificial Intelligence
Position at the Time of Case Filing: Postdoctoral Scholar
Country of Origin: South Korea
State of Residence at the Time of Filing: California
Approval Notice Date: February 16th, 2023
Processing Time: 3 months, 27 days
Case Summary:
Our client from South Korea holds a Ph.D. in Electrical Engineering and Computer Science and has made remarkable strides in his field of expertise. With 7 peer-reviewed journal articles (5 of them first-authored), 4 conference papers (4 of them first-authored), and 3 technical reports his research has earned recognition in the top journals in his field. His work has been cited 140 times, underscoring the significant impact it has had within the scientific community.
In addition, due to his knowledge and expertise in computer science, he has been regularly invited to conduct peer reviews for authoritative journals and conferences in the field, completing at least 7 reviews to date. Given that only the most highly esteemed researchers in the field are invited to evaluate the work of their peers, it is clear that our client is seen as very knowledgeable in the field.
His research focuses on:
- Developing methods combining machine learning and optical imaging to enable quantitative imaging of transparent objects under unfavorable conditions to overcome the limitations of current imaging approaches.
- He determined an open-loop wavefront estimation to support closed-loop wavefront correction control systems and also demonstrated the superior ability of dynamic machine learning architecture over static U-net architecture when addressing multiple measurements and forecasting input aberrations for large dynamic ranges with multiple wavelengths.
- His expertise has garnered significant support, including funding from prestigious governmental institutions, further highlighting the national importance of his work. This support of our client’s research therefore serves as evidence that he pushes “the boundaries of science to develop solutions that empower the intelligence community to do its work better and more efficiently for national security.”
- With 4 letters of recommendation affirming his exceptional contributions, we were able to present a compelling case to the USCIS. Below is an excerpt from the letter:
Building on our track record of over 32,000 successful cases, we proudly secured his NIW approval in around 4 months without any RFE. We are glad to be a part of his success journey and look forward to his continued success.