Case Summary: 

We are proud to celebrate the successful EB2-NIW (National Interest Waiver) approval of a computer engineer from China whose work is helping redefine how artificial intelligence is delivered, optimized, and trusted at the edge. Through his development of scalable and efficient edge AI systems, he is paving the way for next-generation smart technologies, including personalized home assistants and resource-conscious AI deployment.

Powering AI Beyond the Cloud

This client’s research focuses on the design of distributed edge artificial intelligence systems capable of running large language models (LLMs) on resource-limited devices. His work addresses the dual challenges of computational efficiency and system trustworthiness—critical hurdles in making AI accessible, secure, and scalable for widespread use in smart homes, industry, and defense systems.

Currently conducting research at a leading U.S. university, the client is advancing methods that allow edge devices, such as personal assistants and autonomous sensors, to share computation loads and perform AI tasks without constant reliance on cloud infrastructure.

Real Contributions with Measurable Impact

The client has authored 7 peer-reviewed conference papers (5 of them first-authored) and 1 preprint, accumulating 87 citations. At least three of his papers rank among the top 10–20% most cited in computer science for their publication years. He has also completed over 35 peer reviews for premier venues, including IEEE ICASSP, BMVC, AAAI, and ICLR workshops.

His work has introduced real-world advancements, including:

● Quantized BERT models that preserve performance while cutting resource consumption on edge devices.
● Distributed frameworks for sharing AI workloads across devices in unstable networks.
● 3D CNN optimization methods improving real-time video and medical imaging analysis.
● A distributed edge AI system for smart environments.

Recognized by Experts and Institutions

Letters from experts in the field affirm the national significance of his work. One recommender wrote:

“[Client’s] development of scalable, secure, and power-efficient edge AI systems is integral to the future of U.S. infrastructure. His work has enabled real-time decision-making for AI models on personal devices without sacrificing accuracy or reliability.”

His ongoing research is supported by funding from the National Key Research Administration.

National Relevance Across Sectors

As the U.S. smart home market expands toward $87 billion by 2032, his innovations in AI performance and security enable broader adoption of home automation. Beyond that, his work directly supports U.S. competitiveness in fields like cybersecurity, defense computing, and energy-efficient infrastructure.

By eliminating the need for constant cloud connectivity, his methods protect sensitive data, reduce operational costs, and extend AI capabilities into mission-critical applications—even in power-constrained settings.

A Swift, Well-Deserved Approval

The petition was filed on May 12, 2025, and approved just nine days later on May 21, 2025. The fast-track decision affirms both the merit of his research and his strong qualifications as an expert leading advancements in edge AI.

We’re committed to supporting researchers who don’t just imagine the future—they build it. This client’s story showcases how strategic innovation in edge computing can bridge high-level AI with real-world efficiency, driving progress across technology, healthcare, and security.