Yunmei Huang

About

Welcome to my website. I am a PhD candidate in the Department of Forestry and Natural Resources at Purdue University, where I have been studying since 2020. As a first-generation college student, and to pursue a PhD, I am passionate about using science to protect our beautiful environment.

My doctoral research focuses on tree species identification using deep learning algorithms, analyzing both trunk and UAV RGB images.

I aim to contribute to environmental conservation and the sustainable management of our natural resources. I'm wrapping up my PhD in December 2025 and am looking for a new position.

Research interests: forest ecology, remote sensing, deep learning, AI, computer vision, and multi-modal tools application for science.

(Updated in Nov 2025)

This is personal website of Yunmei Huang, Link of CV on Overleaf.

A demo of tree species identiifcation with YOLOv8

TECHNICAL SKILLS

Programming: Python, Bash, R, HTML

Software & Tools: Linux, ArcGIS Pro, GitHub, Jupyter Notebook, Google Earth Engine, CloudCompare, QGIS

CNNs, CLIP model fine-tuning, and training, Multi-modal, RAG framework

Remote sensing data experience: UAV imagery, NAIP, 3DEP

PUBLICATIONS

Y. Huang, B. Yang, J. Carpenter, J. Jung, S. Fei, (2024). Tree Species Classification With Leaf-off Crown Images from Deciduous Trees, Remote Sensing Applications: Society and Environment,101422.

doi: https://doi.org/10.1016/j.rsase.2024.101422.

Y. Huang, B. Ou, K. Meng, B. Yang, J. Carpenter, J. Jung, S. Fei, (2024). Species Identification from UAV Canopy Images using Deep Learning Techniques. Remote Sensing,16(20), 3836.

doi: https://doi.org/10.3390/rs16203836

Y. Huang, S. Hou, H. Ling, and H. Xu. (2018). Trunk Volume Prediction of Individual Populus euphratica Trees Based on Point Clouds Analysis. Ecological Indicators, 95(1), 964-97.

doi: https://doi.org/10.1016/j.ecolind.2018.06.062

F Wu, Y Huang, B. Benes, C. Warner, R. Gazo, (2023).Data Collection and Deep Learning-Based Detection of Wood Growth Rings, Information Processing in Agriculture.11(4), 552-558

doi: https://doi.org/10.1016/j.inpa.2023.10.002

CONFERENCES (*talk)

AGU24 Fall Meeting, poster, American Geophysical Union (AGU) Fall Meeting, Deep learning-based method for tree trunk detection and species recognition, Dec 13, 2024, Washington, D.C

*Ecological Society of America 2024, Species identification with canopy images and deep learning techniques, August 7, 2024, Long Beach, California.

Purdue digital forestry mini-symposium, Feb 24, 2024, Poster.
*Society of American Foresters National Convention (SAF) 2023, Tree species identification from UAV RGB images
using deep learning techniques, Sacramento, Oct 25-29, 2023
2023 Purdue Plant Science Symposium Effective automatic AI model to identify tree species using phone imagery,
Oct 6th, 2023, Poster.
AGU22 Fall Meeting, Chicago, Dec 13, 2022. Deep learning-based method to identify tree species using UAVs images
in the temperate forest, Poster.
*Big Ten Academic Alliance GIS Conference, November 15th, 2022. Deep learning-based tree species identification
using UAV RGB images

HONOR

Esri Innovation Program (EIP) Student of the Year nominee, Purdue University, 500$, 2025

Purdue Forestry and Natural Resources Poster Competition, Honorable mention, 2024/2025.
AnitaB.org 2024 Advancing Inclusion Scholar, Grace Hopper Celebration 2024
Purdue Graduate Student Government Travel Grant, 2023,
IndianaView Scholarship 2022& 2023, $1500

RELATED COURSES
Machine Learning I, Neural Networks and Deep Learning, Aerial Images Segmentation with PyTorch

Laser scanning; Remote Sensing Analysis & Application, Spring 2022
8th Training Course on New Advances in Land Carbon Cycle Modeling, Cornell University, June 2025

Ecology related: Physical Science of Forests, Climate Regulation and Carbon Storage (Michigan State Univ.)

Analysis of Ecological Data; Advanced Ecology

GIS and Remote Sensing: Advance Spatial Ecology and GIS; Remote Sensing Analysis & Application; Laser Scanning

Programming: Geo Programming & Data Science; Advanced C Programming;

Artificial Intelligence: Machine Learning I, Neural Networks and Deep Learning, Aerial Images Segmentation with PyTorch (Coursera)

SERVICE AND REVIEW

Serve as reviewer for International Journal of Applied Earth Observation and Geoinformation; Journal of Forests, Trees,

and People; European Journal of Remote Sensing; Ecological Indicators.

Worked as SAF conference proposal reviewer for 11 conference proposals, 2024
Purdue GIS day, Nov 8, 2023, Served as judge for student presentation competition.
Purdue digital forestry mini-symposium, Feb 24, 2024, served as session chair.

Association member

SAF, ESA, and AGU

Keep in touch: huan1643@purdue.edu