Description
Learning Objectives
Upon completion of this presentation, attendees should be able to:
- Explain how the combination of data harvesting and machine learning can identify hazards at flood control structures faster than traditional predictive modeling methods.
- Discuss the future of this technology and how it will be applied to the AEC industry moving forward.
About the Presenter
Curtis Smith is a Professional Engineer who serves as a team lead and technical expert for several clients in the flood risk industry, including FEMA. His projects are focused on leveraging data and statistics to identify flood-prone areas throughout the US and promote efficient solutions in floodplain management. Curtis’s expertise is in levee data analysis and watershed modeling, and his goal is to maximize value to the client by applying the latest approaches in cloud computing, statistics, computer science, and watershed modeling.
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