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of the future will increasingly rely on integrated digital systems that combine practical expertise with real-time feedback and predictive insights. At BFFI, we aim to improve CEA system design and crop
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of the future will increasingly rely on integrated digital systems that combine practical expertise with real-time feedback and predictive insights. At BFFI, we aim to improve CEA system design and crop
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Lehigh University Plasma Control Group (LU-PCG) and contribute to advanced control synthesis, neural observer development, scenario optimization, and AI-enabled digital twins for magnetically confined
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-particle physics, predictive modeling, and AI-enabled digital twins for magnetically confined fusion plasmas in tokamaks. The research will combine high-fidelity simulations, reduced transport modeling