Law Office of Hong-min Jun · Chicago · Indianapolis
Mechanical Engineering Researcher
Thermal Management & Heat Transfer Systems · China
Y.F. holds a Ph.D. from Purdue University in Mechanical Engineering with specialization in thermal management for high-power density electronics. His research on two-phase immersion cooling systems achieved 60% energy reduction in data center cooling, critical for AI computing infrastructure. His work is directly cited in DoE's Grid Modernization Initiative for energy-efficient computing.
Thermal engineering NIW cases must distinguish between commercial product development (serving a tech company) and nationally important research. We needed to demonstrate federal government recognition of his energy efficiency work.
Y.F.'s two-phase immersion cooling technology solved the thermal management bottleneck for high-density GPU clusters — the primary barrier to scaling AI computing. His cooling systems enable 4x higher compute density compared to air-cooled alternatives, directly enabling next-generation AI infrastructure.
U.S. data center energy consumption is projected to triple by 2030, consuming 10% of national electricity generation. Y.F.'s technology is cited in DoE's data center efficiency programs and aligns with Executive Order 14057 on federal clean energy. DARPA has funded a follow-on phase of his research.
His ongoing DARPA-funded research on military-grade electronics thermal management involves ITAR-controlled data. Normal PERM certification would expose DARPA project documentation inappropriately and interrupt a defense-relevant research program with a defined national security application.
AI infrastructure cases have become a powerful category for NIW petitions as computing energy demands become a national policy issue. The DARPA funding was the strongest single element — government defense research funding is essentially a federal certification that the work has national security relevance. The commercial deployments provided independent validation that the technology worked at scale.
USCIS Approval Notice
Client identity redacted for confidentiality
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