CV

Education

• Ph.D in Version Control Theory, GitHub University, 2018 (expected)
• M.S. in Jekyll, GitHub University, 2014
• B.S. in GitHub, GitHub University, 2012

Work experience

• Spring 2024: Academic Pages Collaborator
  • Github University
  • Duties includes: Updates and improvements to template
  • Supervisor: The Users
• Fall 2015: Research Assistant
  • Github University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub
• Summer 2015: Research Assistant
  • Github University
  • Duties included: Tagging issues
  • Supervisor: Professor Git

Skills

• Skill 1
• Skill 2
  • Sub-skill 2.1
  • Sub-skill 2.2
  • Sub-skill 2.3
• Skill 3

Publications

Identifying active retrogressive thaw slumps from ArcticDEM

Huang, L., Willis, M.J., Li, G., Lantz, T.C., Schaefer, K., Wig, E., Cao, G., Tiampo, K.F., 2023. Identifying active retrogressive thaw slumps from ArcticDEM. ISPRS J. Photogramm. Remote Sens. 205, 301–316.

Detecting Changes of Retrogressive Thaw Slumps from Satellite Images Using Siamese Neural Network

Huang, L., Liu, L., 2020. Detecting Changes of Retrogressive Thaw Slumps from Satellite Images Using Siamese Neural Network. Igarss 2020 - 2020 Ieee Int Geoscience Remote Sens Symposium 00, 3090–3093.

An automated, generalized, deep-learning-based method for delineating the calving fronts of Greenland glaciers from multi-sensor remote sensing imagery

Zhang, E., Liu, L., Huang, L., Ng, K.S., 2021. An automated, generalized, deep-learning-based method for delineating the calving fronts of Greenland glaciers from multi-sensor remote sensing imagery. Remote Sens Environ 254, 112265.

Using deep learning to map retrogressive thaw slumps in the Beiluhe region (Tibetan Plateau) from CubeSat images

Huang, L., Luo, J., Lin, Z., Niu, F., Liu, L., 2020. Using deep learning to map retrogressive thaw slumps in the Beiluhe region (Tibetan Plateau) from CubeSat images. Remote Sens Environ 237, 111534.

Synchrotron X-ray imaging in 4D: Multiscale failure and compaction localization in triaxially compressed porous limestone

Huang, L., Baud, P., Cordonnier, B., Renard, F., Liu, L., Wong, T., 2019. Synchrotron X-ray imaging in 4D: Multiscale failure and compaction localization in triaxially compressed porous limestone. Earth Planet Sc Lett 528, 115831.

Talks

Mapping Abrupt Permafrost Thaw from Space Using Machine Learning

April 21, 2021

Talk at National Snow and Ice Data Center, University of Colorado Boulder, Boulder, Colorado

Teaching

Environmental Remote Sensing Technology (ESGS 5018)

Environmental Remote Sensing Technology (ESGS 5018)

Remote Sensing—Principles and Applications

Error Theory and Foundation of Surveying Adjustment

Surveying and Levelling

Error Theory and Foundation of Surveying Adjustment

Surveying and Levelling

Service and leadership

• Currently signed in to 43 different slack teams