Eli Buckner, Ph.D.

Lecturer of Engineering

Contact Information

  • ebuckner@unca.edu
  • 251-6744
  • 204D Rhoades/Robinson Hall

About Me

Eli Buckner, a native of Western North Carolina, received his B.S. in Engineering from the Joint NCSU/UNCA Mechatronics Program. He then went on to Raleigh, NC to earn his M.S. and Ph.D. in Electrical Engineering from North Carolina State University. While there, he conducted his research in the EnBiSys lab. This lab focuses on the use of computational approaches such as machine learning, computer vision, and statistical methods to evaluate and model biological systems. Buckner’s work involved developing software for analyzing microscopy images of Arabidopsis thaliana roots to quantify genetic activity for plants under stress.


  • Ph.D. Electrical Engineering, North Carolina State University
  • M.S. Electrical Engineering, North Carolina State University
  • B.S.E. Mechatronics Engineering, UNC Asheville/North Carolina State University


  • Graduate Assistance in Areas of National Need in Molecular Biotechnology Fellowship, US Department of Education

Select Courses

  • ECE 220 Analytical Foundations of Electrical and Computer Engineering
  • ECE 308 Elements of Control Systems

Professional Interests

Systems modeling, control systems, signal processing, machine learning, computer vision, and undergraduate research.

Select Publications

  • Buckner, E. D. (2020). A Computer Vision Approach for Assessing the Effects of Iron Deficiency on Cell Differentiation in Arabidopsis thaliana Roots.
  • Buckner, E., Madison, I., Melvin, C., Long, T., Sozzani, R., & Williams, C. (2020). BioVision Tracker: A semi-automated image analysis software for spatiotemporal gene expression tracking in Arabidopsis thaliana. Methods in Cell Biology, 160, 419-436.
  • Madison, I., Melvin, C., Buckner, E., Williams, C., Sozzani, R., & Long, T. (2020). MAGIC: Live imaging of cellular division in plant seedlings using lightsheet microscopy. Methods in Cell Biology, 160, 405-418.
  • Clark, N. M., Buckner, E., Fisher, A. P., Nelson, E. C., Nguyen, T. T., Simmons, A. R., ... & Sozzani, R. (2019). Stem-cell-ubiquitous genes spatiotemporally coordinate division through regulation of stem-cell-specific gene networks. Nature communications, 10(1), 1-11.
  • Buckner, E., Madison, I., Chou, H., Matthiadis, A., Melvin, C. E., Sozzani, R., ... & Long, T. A. (2019). Automated imaging, tracking, and analytics pipeline for differentiating environmental effects on root meristematic cell division. Frontiers in plant science, 10, 1487.
  • Buckner, E., Ottley, C., Williams, C., de Luis Balaguer, A., Melvin, C. E., & Sozzani, R. (2018, July). Tracking gene expression via light sheet microscopy and computer vision in living organisms. In 2018 40th annual international conference of the IEEE engineering in medicine and biology society (EMBC) (pp. 818-821). IEEE.