Assistant Professor of Forest Biometrics 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. Particularly, he is interested in (1) estimating stand carrying capacity, (2) modeling stem taper and bark thickness, (3) characterizing tree allometry relationships, (4) assessing forest carbon, and (5) improving forest inventory and model projections. In addition to research, he has been devoted to forest biometrics, applied statistics and geospatial education. Sheng-I 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) - 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 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 Area of Specialty: Biometrics Spatial Information Technology Geographic Information Systems Remote Sensing Research Interests: Forest Biometrics; Applied Statistics; Forest Measurement