Case Summary:

As an expert in the field of electrical engineering, our NIW (National Interest Waiver) client’s proposed endeavor was to work on developing novel algorithms and methods in order to improve artificial intelligence tools with healthcare and bioinformatics applications. He wished to advance the capabilities of machine learning, deep learning, and active learning technologies. Among other applications, his research was relevant to improving biometric recognition technology and accurately predicting epileptic seizures before they occur. Due to its real-world applicability in areas such as seizure prediction, genome sequence modeling, and iris recognition, his work was evidently important.

So, as is customary with our firm, we did a thorough study of his work and proceeded to sign the retainer agreement with him. Once these formalities were over, we began putting together his petition packet to ensure the successful adjudication of his case:

• He has developed a novel framework that solves the cross-resolution and cross-spectral iris matching problem, resulting in more accurate iris recognition technology. This research is directly responsible for improving diagnostic tools to predict epileptic seizures, thereby resulting in a considerably enhanced quality of life for the millions of Americans living with epilepsy. Thus his work is also of great interest to the United States.
• Due to its evident national importance, his research has in fact been supported with funding from the National Science Foundation and the Center for Identification Technology Research.
• He has completed at least 10 reviews to date and his research has resulted in 5 peer-reviewed conference papers (all of them first-authored) and 1 co-authored peer-reviewed journal article.
• At the same time, these publications have been cited a total of 44 times according to Google Scholar, thereby demonstrating that these publications are widely recognized and relied upon in the field of electrical engineering.
• He has also pursued research directly related to his proposed endeavor of developing algorithms in order to improve artificial intelligence tools with healthcare and bioinformatics applications for approximately 7 years, giving him immense experience in the field.

On the other hand, his work has been supported with funding from multiple recommenders who wrote letters of support in his favor. One of them wrote:

“[Client’s] work in seizure prediction and genomic sequence modeling demonstrates the beneficial applications of research at the intersection of bioinformatics, artificial intelligence, and electrical engineering. The technology he provided is essential for alleviating the mental burden associated with the unpredictability of seizures and allows epileptic patients to be better prepared when their seizures occur. [The client’s] seizure prediction research therefore considerably enriches the overall well-being of the 50 million reported epilepsy sufferers worldwide. Overall, [the client’s] continued work contributes to the progression of artificial intelligence methods in the areas of bioinformatics and healthcare, aiding medical practitioners, researchers, and patients across the globe.”

Thus, his case approval was made easier by supportive letters from other experts and the academic achievements he had accumulated over the years. We are thus proud of having helped him in this process and we wish him all the best in his future endeavors.