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Smart Integration of Process Systems Engineering & Machine Learning for Improved Process Safety in Process Industries

CORDIS · observation · Publication date unknown

Smart Integration of Process Systems Engineering & Machine Learning for Improved Process Safety in Process Industries PROSAFE proposes a novel doctoral training program in the multidisciplinary field combining machine learning, artificial intelligence, and process systems engineering with domain knowledge of process industry and process safety. PROSAFE will pioneer new foundations by integrating Quantitative Risk Assessment, Process Systems Engineering (PSE) with interpretable machine learning (ML) and artificial intelligence (AI) disciplines as targeted breakthroughs to achieve the objectives. To this end, PROSAFE will develop new synergistic tools and train skilled professionals to address this very important societal, economic, and environmental challenge of safe and sustainable process industries. PROSAFE research objectives are: 1: Harmonize robust QRA methods and implementation strategies for effective and improved risk assessment

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recordType

award

status

SIGNED

region

EU

value

2773692

unit

EUR