Strimbu, Bogdan

Position Type: 
Faculty
Job Title: 
Associate Professor
Department: 
Forest Engineering, Resources & Management
Office Location: 

360 Peavy Forest Science Center (PFSC)

Phone Number: 
(541) 737-1604
Education: 
Ph.D., 2009, Forest Management, University of British Columbia
M.S.c, 2003, Forest Management, University of British Columbia
M.S.c, 2011, Mathematics/Statistics, Louisiana Tech University
B.S., 1992, Forest Operations, Transilvania University, Romania
Research Areas: 
  • Forest Biometrics and Geomatics
  • Forest Operations Planning and Management
Research Interests: 
  • Biometrics
  • Machine Learning
  • Lidar (TLS - ALS)
  • Unmanned aerial systems
  • Forest Planning

Advising

Graduate Major Advisor
Graduate Students: 
External (non-CoF) Graduate Students: 
  • Jay Patarvali (EECS), co-supervised with Fuxin Li
Selected Publications: 
  1. Garms , C.G. and Strimbu, B.M.Impact of stem lean on estimation of Douglas-fir (Pseudotsuga menziesii) diameter and volume using mobile lidar scans. Canadian Journal of Forest Research. https://doi.org/10.1139/cjfr-2020-0484
  2. West, T.; Sessions, J.; Strimbu, B.M. Heuristic Optimization of Thinning Individual Douglas-Fir. Forests 2021, 12, 280. https://doi.org/10.3390/f12030280
  3. Strimbu, B.M., Amarioarei, A. & Paun, M. Nonlinear parsimonious forest modeling assuming normal distribution of residuals. Eur J Forest Res 140(3). https://doi.org/10.1007/s10342-021-01355-2
  4. Riddell, A.P., Fitzgerald. F.A.,Qi, C., and Strimbu, B.M. Classification Strategies for Unbalanced Binary Maps: Finding Ponderosa Pine (Pinus ponderosa) in the Willamette Valley. Remote Sensing 2020, 12(20), 3325
  5. Amarioarei, A., Paun, M., and Strimbu BM. Development of Nonlinear Parsimonious Forest Models Using Efficient Expansion of the Taylor Series: Applications to Site Productivity and Taper. Forests 11(4): 458-484
  6. Strimbu BM. Unmanned aerial systems for land monitoring. 81 p. Oregon State University. ISBN 9781732664401