Success Stories: Our Team Assists an Emissions Validation Engineer Working in Mechanical Engineering Get NIW Approval Quickly, Thanks to PP Upgrade
Client’s Testimonial:
“Thank you for your support in preparing this application.”
On February 10th, 2023, we received another EB-2 NIW (National Interest Waiver) approval for an Emissions Validation Engineer in the Field of Mechanical Engineering (Approval Notice).
General Field: Mechanical Engineering
Position at the Time of Case Filing: Emissions Validation Engineer
Country of Origin: Saudi Arabia
State of Residence at the Time of Filing: Michigan
Approval Notice Date: February 10th, 2023
Processing Time: 1 month, 5 days (Premium Processing Requested)
Case Summary:
A mechanical engineering expert from Saudi Arabia hired our services for his National Interest Waiver (NIW) case. As is our custom, we began by checking if his qualifications on academic and professional fronts satisfied the prongs of a successful NIW petition set by the USCIS. Soon we discovered the following facts about his case which we went on to use in writing him the petition that won the approval in just 1 month and 5 days:
- His proposed endeavor is to work on applying computational methods and machine learning. This would help to solve problems related to various domains within mechanical engineering, including nondestructive testing of composite vessels using acoustic emission testing (AET), nuclear reactor design, jet engine combustion, wind energy, and materials science, all of which are closely related to sustainability and climate change.
- Additionally, his research endeavor is of great importance because it enables machine learning algorithms to adjust to new data independently and make decisions based on thousands of calculations and analyses, thus allowing them to handle decisions more efficiently.
- He has also been able to apply his expertise in such valuable techniques as nondestructive testing (NDT), computational fluid dynamics (CFD), and machine learning (ML) to such areas as gas and wind turbines and energy/power generation, which are used broadly in a wide range of commercial settings. It thus has broad implications for the United States too.
- Among many other applications, machine learning is invaluable to processes used in mechanical engineering, including tasks like additive manufacturing, nondestructive testing, and aerospace and mechanical design, eliminating the guesswork out of the process of making decisions by analyzing a vast amount of data simultaneously. This is why his research has in fact been supported with funding from the National Science Foundation.
- His research has also resulted in 3 peer-reviewed journal articles. And these publications have been cited a total of 219 times according to Google Scholar, thereby demonstrating that these publications are widely recognized and relied upon in the field of mechanical engineering.
- On the other hand, we asked him to add at least 2 letters of recommendation to support the facts of his case.
We are glad he chose our firm to represent him and wish him the best of luck in his future endeavors.