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Computer Vision- Core Artificial Intelligence Research
Vision-CAIR
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quantitative flow analysis​

Peter Schmid

Professor, Mechanical Engineering

quantitative flow analysis​ applied mathematics Earth systems aerospace design energy efficiency​

​Professor Schmid's research interests are in theoretical and computational fluid dynamics, with emphasis on hydrodynamic stability theory, flow control, model reduction and system identification. He is also interested in computational techniques for flow optimization and quantitative flow analysis.

Computer Vision- Core Artificial Intelligence Research (Vision-CAIR)

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