Success Stories: EB1B Approval for a Staff Engineer in the field of Computer Science and Engineering in 10 weeks
Client’s Testimonial:
I can't thank Chen Immigration team enough. I applied EB-1B and got the approval today. In the beginning ,I thought I was a borderline case for EB1 category but [Chen Immigration Law Associates] reviewed and said yes for representing me. They meticulously drafted the petition highlighting strong points. Their guidance package helps in every aspect of the application. I highly recommend Chen Immigration team to anyone thinking of EB1 category.
On September 18th, 2013, we received another EB1B Approval for a Staff Engineer in the field of Computer Science and Engineering (Approval Notice)
General Field: Computer Science and Engineering Position at the Time of Case Filing: Staff Engineer Petitioner: A Private Company National Origin: India Service Center: Nebraska Service Center (NSC) State Residing at the Time of Filing: California Approval Notice Date: September 18, 2013 Processing Time: 10 weeks
Case Summary:
The average processing time for I-140 cases is 4-6 months. But on many occasions, we have cases approved far faster than the average processing time.
At North America Immigration Law Group – WeGreened.com, we recently received an EB1B approval for a Staff Engineer in the field of computer science and engineering. The beneficiary’s outstanding ability, highly skilled background, and impressive record of achievement provided a strong case for his EB1B petition. His specialized research had focused on the study computer processor design (CPU design), speech recognition in hardware and simulation strategies for processor design and verification. His research work had resulted in at least 7 publications and/or conference proceedings. Furthermore, the beneficiary had a total of 791 citations by researchers around the world for his publications before filing the petition. The petitioner in this case was a private company. The beneficiary’s outstanding expertise is summarized in a quote by an independent recommender, “[Client’s] work is one of the first attempts in both academia and industry to model the L2 misses for the co-scheduled threads on a shared L2 cache in chip multiprocessor architecture. His proposed three models estimated the L2 cache misses for the co-scheduled threads on a CMP. The first two models were extremely simple, generative, and effective. [Client’s] third model was extraordinarily accurate and can predict L2 cache misses with margin of error below 3.9%.” It was our goal to prove that this beneficiary qualifies for classification as an outstanding professor or researcher given the international recognition for his outstanding achievements. His petition was approved in just 10 weeks.

