Assistant Professor of Forest Biometrics Dr. Sheng-I Yang's research focuses on modeling forest growth, diversity, structure, and function for planted and natural forests in order to advance forest science and inform sustainable forest management decisions. He develops and improves quantitative methods at the individual tree, stand, and system levels. He has worked on multiple research projects for a variety of forest types, including southern pine monocultures as well as mixed-species forests in temperate and pantropical regions (e.g., Caribbean). Particularly, he is interested in (1) estimating stand carrying capacity, (2) modeling stem taper and bark thickness, (3) characterizing tree allometric relationships and growth, (4) assessing forest carbon, and (5) improving forest inventory and model projections. In addition to research, he is devoted to forest biometrics, applied statistics, and geospatial education. Dr. Yang is a faculty member in the UGA Plantation Management Research Cooperative (PMRC) and a faculty fellow at the UGA Institute of Artificial Intelligence (IAI). Dr. Yang currently serves as a Coordinator of 4.01.03 Instruments and Methods in Forest Mensuration in the International Union of Forest Research Organizations (IUFRO) and as an Associate Editor for the Journal of Forestry and Forest Ecosystems. Current Research Projects: - Developing quantitative methodology for predicting tree growth and stand carrying capacity for pantropical island forests. Funded by USDA Forest Service, Forest Inventory and Analysis (FIA) - Evaluating and proposing a site productivity estimation methodology for Caribbean forests. Funded by USDA Forest Service, Forest Inventory and Analysis (FIA) - Integrating SAE methods with stand-level forest inventory and growth projection for southern pine plantations. Funded by NCASI Foundation, USDA Forest Service and Center for Advanced Forestry Systems - Evaluating the differences of growth and yield projections between the Forest Vegetation Simulator (FVS) and commonly-used models for pine plantations in the southeastern U.S. Funded by NCASI Foundation Awards, Honors and Recognitions: 2024 Early Career Achievements Award, 2024 Northeastern and Southern Mensurationists conference in Stowe, VT 2023 Early Career Investigator Award, Forests Education Education: B.S. Forestry. National Taiwan University. Taipei, Taiwan. 2013 M.S. Forest Biometrics. Virginia Tech. Blacksburg, VA. 2016 M.S. Statistics. Virginia Tech. Blacksburg, VA. 2019 Ph.D. Forest Biometrics. Virginia Tech. Blacksburg, VA. 2019 Research Labs/Centers/Committee: Plantation Management Research Cooperative (PMRC) Area of Specialty: Ecology Forest Business Forest Management Biometrics Inventory International Education Spatial Information Technology Geographic Information Systems Remote Sensing Research Areas: Forestry Forest Business Geospatial Information Science (GIS) Forest Biology Research Interests: Forest Biometrics; Applied Statistics; Forest Measurement Teaching: FORS 4620/6620 Timber Management FANR 5630/7630 Statistical Software for Natural Resource Management