Case Summary:

The following data was selected by our team of experts at North America Immigration Law Group for the NIW (National Interest Waiver) petition written for a research associate in computer engineering from Vietnam:

• As an expert in the field of computer engineering, his proposed endeavor was to work on developing efficient machine learning models to improve image classification, object detection, and facial recognition for advanced healthcare diagnostics, increased public safety, and enhanced national security.
• His research advancing his proposed endeavor was evidently of great importance because it aimed to advance scientific knowledge on machine learning methods for developing image classification, object detection, and facial recognition models.
• His work in the field has also resulted in 4 peer-reviewed conference papers (3 of them first-authored) and 1 book chapter.
• These publications have been cited a total of 43 times according to Google Scholar, thereby demonstrating that these publications are widely recognized and relied upon in the field of computer engineering.
• In further evidence of his acknowledged expertise in the field, he is also active in the scientific community as a peer reviewer for highly acclaimed journals and conferences and has already conducted 2 reviews, including reviews for international journals in the field.
• At the same time, the value of his work has been supported by 5 letters of recommendation from other experts in the field. Some of these recommenders made the following statement about his work:

“The global market value for deep learning technology is estimated to grow to more than $10 billion by 2025. Applications of the machine and deep learning in key American industries such as healthcare and autonomous vehicle research have contributed enormously to this growth. [The client] has developed new guidelines for the design of efficient deep-learning neural networks that greatly improve the capabilities of this technology. Since he has already introduced improvements to a technology of growing economic importance for the country, [the client] is clearly well-positioned to advance the interests of the United States.”

“[Client’s] work decreases the training time required for machine learning models for complicated visual tasks like facial recognition. His improved image classification methods are enormously useful in the types of facial recognition and biometric initiatives proposed by the DHS. Since [the client’s] work directly improves technology into which the U.S. government has invested substantially, his research is clearly of benefit to the interests of the United States.”

Thus, when his approval came through we were happy to have been of service to him. Our firm wishes him all the best in his future endeavors and looks forward to further collaboration with him.