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the Built Environment (SSEBE) , one of the eight Fulton Schools, houses a vibrant infrastructural material, mechanics, manufacturing, and multi-physics modeling, simulation, and optimization research
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distribution systems; grid, facility, and residential energy optimization; demand forecasting and response; integration of distributed and clean energy resources; device-level modeling of generation, storage
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techniques. Digital Twin and advanced simulation modeling of semiconductor process and packaging flows, linking virtual manufacturing models with real-time data for process optimization, yield
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and educational efforts in quantum computing and information sciences. Particular areas of interest include, but are not limited to: Quantum algorithms, simulation, optimization, and quantum machine
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Manufacturing: Advanced CAD/CAM, digital twins/threads, multi-physics simulation, generative design, and intelligent optimization. Hybrid Machine & Manufacturing Systems: Novel machine architectures and
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are not limited to: Machine learning and optimization for planning, control, and decision-making under uncertainty Graph and network learning, causal inference, data fusion, simulation, and digital