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Neural Refrigeration Cycle Network enabled Optimal Control of Closed-loop Fluid Infrastructure System
Goal: Physics-informed, learning-based controllers for next-generation energy-efficient control of HVAC system.
Funded by: Samsung Global Research Outreach Award ($150K)
HVAC system
Bottom-up physics-informed modeling strategy + global optimal control
Bottom-up physics-informed modeling strategy + global optimal control
Big VISION Initiative
Goal: Develop the large-scale vision-based industrial inspection dataset, alongside methodology for (1) large-scale manufacturing data sourcing, screening, and quality control, (2) automated fine-grained manufacturing annotation with human feedback, and (3) downstream task-aware dataset design.
Funded by:
UMN Data Science Initiative (see DSI news coverage, $200K)
NVIDIA Academic Grant Program Award
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