Flooding: how machine learning can help save lives
• In the course of a Ph.D. under Jamie Ellen Padgett at Rice University, Pranavesh Panakkal, who now works as a researcher for the American non-profit Water Institute, developed an AI tool to predict flooding on road networks.
• Christened OpenSafe Fusion, the tool is an automated data fusion framework that combines information from multiple public sources for enhanced sensing of road conditions. This study was supported by the National Science Foundation and the National Academies of Science, Engineering and Medicine’s Gulf Research Program.
• The goal of this research is to leverage enhanced knowledge of conditions on road networks and speed up intervention by municipal authorities and emergency services to protect populations in danger.
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• Christened OpenSafe Fusion, the tool is an automated data fusion framework that combines information from multiple public sources for enhanced sensing of road conditions. This study was supported by the National Science Foundation and the National Academies of Science, Engineering and Medicine’s Gulf Research Program.
• The goal of this research is to leverage enhanced knowledge of conditions on road networks and speed up intervention by municipal authorities and emergency services to protect populations in danger.
AI provides a wide range of new tools for historical research
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