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The Fengqi Research Group at Cornell University is an interdisciplinary research team focused on pushing the boundaries of Process-Energy-Environmental Systems Engineering (PEESE). They are engaged in developing innovative computational models, optimization algorithms, and statistical machine learning techniques, with a strong emphasis on real-world applications. The group's expertise spans several domains including materials informatics, smart manufacturing, digital agriculture, energy systems, and sustainability. Their work in artificial intelligence aims to create a foundation that enhances the integration of theoretical frameworks with practical applications, driving advances in sustainability and environmental challenges. The group has published impactful articles in prestigious journals such as Nature and Science, highlighting their contributions to quantifying global eco-footprints and addressing pervasive environmental health challenges posed by microplastics. With a commitment to research excellence, they explore forefront innovations in AI for sustainability and science, continually evolving the methodologies and technologies that shape their fields.
Department of Architecture