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image of Dr. ZHANG Enze
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Room 308, 3/F, Mong Man Wai Building
Phone: 
(852) 3943 9324
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image of Dr. ZHANG Enze
Office: 
Room 308, 3/F, Mong Man Building
Phone: 
(852) 3943 9324

Dr. ZHANG Enze 张恩泽

Honorary Research Assistant
 
Education:
  • Ph.D., Earth and Atmospheric Sciences, The Chinese University of Hong Kong, 2020
  • B.Sc., The University of Science and Technology of China, 2016
 
Academic Employments:
  • 2020.11 – Present: Research Assistant, Earth System Science Programme, Faculty of Science, The Chinese University of Hong Kong
 
Research Fields and Current Research Interests:
  • Deep Learning
  • Remote Sensing applications in the cryosphere
  • Glacier front variations
 
Honours and Awards:
  • Global Scholarship Programme for Research Excellence, CUHK
 
Professional Activities:
Past
  • AGU Fall Meeting, 2019, Oral Presentation
    Automatically delineating calving fronts of Greenland glaciers from multi- sensor remote sensing imagery: a general method based on deep learning.
  • AGU Fall Meeting, 2018, Poster Presentation
    Automatically delineating terminus of Jakobshavn Isbræ from multi-sensor remote sensing imagery based on deep learning.
  • Workshop on Glacial Isostatic Adjustment and Elastic Deformation, 2017, Poster Presentation
    Transient variations in ice mass near Jakobshavn Isbræ (west Greenland) detected by the combined use of GPS and GRACE data.
 
Teaching:
Past
  • ESSC2010 Solid Earth Dynamics
  • ESSC4110 Engineering Geology and Applied Geophysics
  • ESSC4510 Statistical Methods and Data Analysis for Earth System Science
  • ESSC4540 Remote Sensing -- Principles and Applications
 
Selected Recent Publications:
  1. Zhang, E., Liu, L., Huang, L. and Ng, K. S. Automatically delineating calving fronts of Greenland glaciers from multi-sensor remote sensing imagery: a general method based on deep learning. Manuscript under review.
  2. Zhang, E., Liu, L., and Huang, L. (2019). Automatically delineating the calving front of Jakobshavn Isbræ from multitemporal TerraSAR-X images: a deep learning approach. The Cryosphere, 13(6), 1729-1741.
  3. Zhang, B., L. Liu, S. A. Khan, T. van Dam, A. A. Bjørk, Y. Peings, E. Zhang, M. Bevis, Y. Yao, and B. Noël (2019), Geodetic and model data reveal different spatio-temporal patterns of transient mass changes over Greenland from 2007 to 2017, Earth and Planetary Science Letters, 515, 154–163, doi:10.1016/j.epsl.2019.03.028.
  4. Zhang, B., E. Zhang, L. Liu, S. A. Khan, T. van Dam, Y. Yao, M. Bevis, V. Helm (2018), Geodetic measurements reveal short-term changes of glacial mass near Jakobshavn Isbræ (Greenland) from 2007 to 2017, Earth and Planetary Science Letters, 503, 216–226, doi:10.1016/j.epsl.2018.09.029.
  5. Zhang, B., Liu, L., Khan, S. A., Dam, T., Zhang, E., & Yao, Y. (2017). Transient variations in glacial mass near Upernavik Isstrøm (west Greenland) detected by the combined use of GPS and GRACE data. Journal of Geophysical Research: Solid Earth, 122(12)