Since completing his PhD at the University of Helsinki, Jori Uusitalo has held positions as a postdoctoral researcher at the University of Illinois, professor at the University of Joensuu, research unit and regional director at Metla, and group leader at Luke. He has coordinated numerous national and international research projects, secured over 30 research grants, and published around 180 articles, including some 65 in international peer-reviewed journals. His expertise spans value chain optimization, tree bucking, terramechanics, forest visualization, precision harvesting, and GeoAI.
Post-doc Omid Abdi obtained his doctoral degree in Geoinformatics (Dr. Ing.) from TU Dresden, Germany, in 2020. He holds both B.S. and MSc in Forestry. Since 2021, he has been contributing as a post-doc in the Forest Technology group, at the University of Helsinki. His expertise lies in Geo-spatial Artificial Intelligence (GeoAI), Spatial Data Science, precision forestry, and 3D remote sensing.
I am a forester with a PhD in Forest Sciences, and I have been working at the University of Helsinki since 1993. I served as a research assistant and researcher until 2008, when I was appointed as a University Lecturer in Forest Operations and Logistics. My research has primarily focused on wood value chain optimization, particularly tree bucking optimization. Other areas of interest include harvester measurement accuracy, pre-harvest inventory systems, forest visualization, and productivity and time studies in timber harvesting. In recent years, my work has increasingly centered on teaching, although I remain actively involved in research projects developing innovative tools for precision harvesting and long-distance timber transport optimization.
I am a postdoctoral researcher with a background in photogrammetry and remote sensing. My current work focuses on multi-source forest data analysis using remote sensing imagery, LiDAR, and soil data. Our goal is to develop intelligent tools and systems to advance forest management and enable precision harvesting. My research interests include precision forest harvesting, deep learning in forestry, 3D modeling, and photogrammetry and remote sensing.
I am a doctoral researcher specializing in remote-sensing–based forest stand delineation, ranging from conventional to micro-stand scales. My work employs spatial clustering based on individual tree detection (ITD) maps to analyze stand structure. The research focuses on assessing structural diversity to support “Closer-to-Nature” silvicultural approaches and adaptive management, contributing to precision forestry from planning to logging operations