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Michael Olsen

Dr. Michael Olsen

School of Civil and Construction Engineering, Oregon State University, Corvallis...

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Michael Olsen is the CH2M Hill Professor of Geomatics in the School of Civil and Construction Engineering at Oregon State University. He serves as an Associate Editor of the ASCE Journal of Surveying Engineering, the Past-President of the Surveying and Geomatics Educators Society (SaGES), the Technical Director for the NSF NHERI RAPID Facility, and a co-founder and CEO of a tech transfer spinout company, EZDataMD, LLC. Throughout his career in surveying and mapping, he has worked with a variety of geospatial technologies such as lidar, geographic information systems (GIS), Building Information Modeling (BIM), GPS/GNSS, uncrewed aircraft systems (UAS), digital terrain modeling, structure from motion\multi-view stereopsis photogrammetry, and machine learning. His research focuses on the collaborative application of geospatial technologies to civil engineering problems as well as the development of advanced algorithms or workflows for efficient data processing and analysis.

Research Keywords & Expertise

Terrain Modeling
Terrestrial Laser Scan...
Structure-from-Motion ...
Geohazard mapping and ...

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Terrestrial Laser Scanning
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Terrain Modeling
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Point cloud processing algorithms

Short Biography

Michael Olsen is the CH2M Hill Professor of Geomatics in the School of Civil and Construction Engineering at Oregon State University. He serves as an Associate Editor of the ASCE Journal of Surveying Engineering, the Past-President of the Surveying and Geomatics Educators Society (SaGES), the Technical Director for the NSF NHERI RAPID Facility, and a co-founder and CEO of a tech transfer spinout company, EZDataMD, LLC. Throughout his career in surveying and mapping, he has worked with a variety of geospatial technologies such as lidar, geographic information systems (GIS), Building Information Modeling (BIM), GPS/GNSS, uncrewed aircraft systems (UAS), digital terrain modeling, structure from motion\multi-view stereopsis photogrammetry, and machine learning. His research focuses on the collaborative application of geospatial technologies to civil engineering problems as well as the development of advanced algorithms or workflows for efficient data processing and analysis.