معرفی
Bogdan Strimbu is an Associate Professor in the Department of Forest Engineering, Resources & Management at Oregon State University's College of Forestry. He specializes in forest biometrics, remote sensing, and forest operations planning. His research integrates machine learning, LiDAR, and unmanned aerial systems (UAS) to advance forest inventory accuracy and sustainable management strategies.
Education includes a Ph.D. (2009) and M.Sc. (2003) in Forest Management from the University of British Columbia, an M.Sc. (2011) in Mathematics/Statistics from Louisiana Tech University, and a B.S. (1992) in Forest Operations from Transilvania University, Romania.
Research focuses on biometrics, LIDAR applications, forest planning algorithms, and UAS-based land monitoring. Notable contributions include developing parsimonious forest models and optimizing harvest strategies using heuristic methods. His work spans North American and European forests, addressing climate impacts, tree growth dynamics, and precision forestry.
Strimbu advises graduate students in forest operations and biometrics. He co-authored "Unmanned Aerial Systems for Land Monitoring" (2020) and collaborates on interdisciplinary projects involving machine learning and environmental reporting. His grants fund studies on canopy water estimation, steep-slope harvesting, and crop change detection in Oregon's Willamette Valley.
He leads a research team focused on integrating remote sensing technologies with classical forestry methods. Current projects include lidar-based defect detection and UAV applications in herbaceous vegetation mapping.
