Visalytics
Visalytics
approved EB-2 (NIW)

Software Engineer

Data Science · China · 2025-05-07

Processing Time
38 days
Decision Date
2025-05-07
Location
California
This case is from a publicly available case study. Case studies tend to feature successful outcomes and may not reflect the full range of petition results.

Proposed Endeavor

The petitioner proposes to design machine learning models that detect rare and unexpected signals in autonomous driving, smart manufacturing, and critical infrastructure. This work focuses on rare-event modeling to simulate processes with minimal data, aiming to prevent system failures and enhance the reliability of AI-powered technologies. The intended impact includes improving autonomous vehicle navigation safety and ensuring consistency in manufacturing production lines.

Framework Evaluation

3 of 3 criteria met
1 Substantial Merit and National Importance Met

The endeavor addresses critical safety and innovation needs in U.S. autonomous driving and industrial infrastructure.

2 Well-positioned to Advance the Endeavor Met

The petitioner's publication record, citation count, and funding from major federal agencies demonstrate a strong position to succeed.

3 Balance of Interests Met

The urgency of the petitioner's contributions to U.S. safety and innovation outweighs the need for a labor certification.

Why This Petition Was Approved

The petition was approved based on the petitioner's record of 10 peer-reviewed journal articles and 70 citations, demonstrating significant influence in the machine learning community. Evidence included 20 verified peer reviews and session chair roles at two annual meetings, satisfying the Dhanasar prongs. The work's national importance was further validated by funding from the Department of Energy, the Office of Naval Research, and the Department of Defense.

Evidence

Evidence Types
Peer Reviewed Publications
Citations
Grants
Conference Presentations
Original Contributions
Government Alignment

Similar Cases

Research Scientist

Artificial Intelligence · China

WeGreened EB-2 (NIW) approved
Washington 78 days 2025-01-30
The petitioner proposes to develop efficient online machine-learning models to improve decision-making accuracy and scalability in large-scale data applications. This research specifically aims to enhance the safety and reliability of autonomous vehicles, which is a key priority for U.S. technological advancement.
View Case

Data Scientist

Artificial Intelligence · India

WeGreened EB-2 (NIW) approved
California 606 days 2025-09-22
The petitioner proposes to employ machine learning and advanced data-driven models to enhance the safety, decision-making, and reliability of autonomous systems. Her work focuses on addressing challenges in autonomous navigation and trajectory prediction for self-driving cars, autonomous surface vessels, and intelligent water treatment systems.
View Case

Data Analyst

Engineering · Iran

WeGreened EB-2 (NIW) approved
212 days 2025-04-07
The petitioner proposes to advance research at the intersection of artificial intelligence, machine learning, and advanced statistical methods for industrial data analysis. His work focuses on developing mathematical and probabilistic models and simulation tools to enhance the reliability, availability, and safety of sustainable and autonomous transportation systems.
View Case

Data Scientist

Artificial Intelligence · Pakistan

WeGreened EB-2 (NIW) approved
Nevada 5 days 2024-03-19
The petitioner proposes to design, improve, and implement domain-specific Generative AI models, Large Language Models (LLMs), and predictive models for critical sectors including transportation, manufacturing, and insurance. His work focuses on addressing challenges in predictive maintenance, quality control, traffic management, and pedestrian behavior prediction to enhance autonomous systems. The endeavor aims to automate routine tasks and provide personalized product recommendations in consumer retail while maintaining the U.S. lead in AI technology.
View Case

Frequently Asked Questions

A approved EB-2 NIW (I-140) petition means USCIS determined the petitioner met the eligibility requirements. For appealed cases, "sustained" means the appeal reversed a prior denial. The petitioner can proceed to the next step in the immigration process.

Browse More Cases

More approved cases More Artificial Intelligence cases More cases from China

Case data sourced from publicly available petition decisions and case studies. Decision date: 2025-05-07.

Browse all cases
View Original

At a Glance

Outcome approved
Processing 38 days
Criteria Met 3 / 3
Evidence Types 6

EB-2 (NIW) Case Data

Scraped Case Data

Total Cases 3,895
Success Rate 54.2%
Sustained 2,112
Dismissed 1,687

Related Pages

EB-2 (NIW) Overview EB-2 (NIW) in China All EB-2 (NIW) Cases EB-2 (NIW) Dashboard Endeavor Search

Get Case Insights

Compare your profile against thousands of real petition outcomes. Join the waitlist for personalized analysis.

Join Waitlist