معرفی
Sheng-I Yang is an Assistant Professor of Forest Biometrics at the University of Georgia. He specializes in quantitative methods for forest growth modeling, stand dynamics, and inventory systems. His work integrates applied statistics, remote sensing, and geospatial technologies to inform sustainable forest management. He currently coordinates IUFRO's 4.01.03 working party and serves as an Associate Editor for the Journal of Forestry and Forest Ecosystems.
- Education:
- B.S. Forestry, National Taiwan University (2013)
- M.S./Ph.D. Forest Biometrics & Statistics, Virginia Tech (2016-2019)
- Affiliations: Plantation Management Research Cooperative (PMRC)
His research focuses on forest biometrics, including stem taper modeling, stand carrying capacity estimation, and tree allometry. Recent projects involve predicting Caribbean tree growth via machine learning and optimizing pine plantation management in Turkey. He develops novel statistical frameworks for integrating Sentinel satellite data with ground-based inventories.
His 2023-2025 publications emphasize tropical forest modeling, bark volume quantification, and elk population dynamics collaborations. Major funders include USDA Forest Service and the NCASI Foundation.
- Awards:
- 2024 Early Career Achievements Award (Northeastern/Southern Mensurationists Conference)
- 2023 Early Career Investigator Award (Forests Journal)
Teaching responsibilities include Timber Management and Statistical Software for Natural Resources. His lab actively collaborates with IUFRO networks to advance global forest mensuration standards.
