Stephen Medeiros

Stephen Medeiros



Dr. Medeiros is a researcher, educator and practicing civil engineer in the field of water resources. His research focuses on the application of geospatial data fusion, the integration of satellite remote sensing, laser scanning, photogrammetry, and field measurements, in the context of water resources, especially natural hazards including hurricane storm surge and flooding. To get all of this done, he relies heavily on high performance and high throughput computing, another active area of research. He teaches a variety of engineering courses at UCF including engineering mechanics, land surveying and numerical methods. In addition, he is also a consultant to engineering companies seeking his expertise in hydrologic data analysis, GIS, stormwater modeling and design, and coastal hydrodynamic modeling. In his spare time he enjoys playing with his wife and kids, working around the house, and playing ice hockey.

Talk: Geospatial Data Fusion – Beyond Bare Earth

Point clouds make for compelling 3D imagery, but there’s real engineering information in there too! See what we are mining out of airborne laser scanning data to enhance the resilience of coastal communities. Dr. Stephen Medeiros, a lecturer in Civil Engineering at the University of Central Florida, describes his team’s work in Geospatial Data Fusion for coastal resilience. Dr. Medeiros uses airborne laser scanning data (aka lidar) to characterize surface roughness for use in computer models for hurricane storm surge. All of his students are required to learn and apply Python to their data science tasks such as ETL, machine learning, and statistical analysis of a variety of environmental data such as wind speeds, water levels, and 3D laser scanning point clouds. By describing the coastal floodplain in intricate detail, Dr. Medeiros and his students study how the roughness of the landscape influence hurricane winds and storm surge behavior. This work is carried out on the STOKES HPC at the Advanced Research Computing Center in UCF’s Institute for Simulation and Training.

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