About Me
Publications
Zhiang Chen is a Ph.D. student at the School of Earth and Space Exploration, Arizona State University. He is working on robotic exploration systems, machine learning, remote sensing, and their applications to geologic studies.
All
Journal Article
Book Chapter or Report Chapter
Book or Non-Periodical, One-Time Publication
Conference Paper/Presentation
Thesis or Dissertation
Chen, Z. ,
Arrowsmith, R. ,
Das, J. ,
Wittich, C. ,
Madugo, C. , &
Kottke, A. (2023). Virtual Shake Robot: Simulating Dynamics of Precariously Balanced Rocks for Overturning and Large-displacement Processes.
Seismica , (in preparation).
SCEC Contribution 12703
Chen, Z. ,
Keating, D. , Shethwala, Y., Pandian Saravanakumaran, A.,
Das, J. ,
Arrowsmith, R. ,
Madugo, C. , &
Kottke, A. (2022, 09). Shakebot: a low-cost, open-source shake table for structural seismology research. Poster Presentation at 2022 SCEC Annual Meeting.
SCEC Contribution 12310
Chen, Z. ,
Scott, C. P. ,
Keating, D. , Clarke, A.,
Das, J. , &
Arrowsmith, R. (2022). A deep-learning approach to quantify and analyze rock trait distributions for the geomorphic study of rocky fault scarps.
Earth Surface Processes and Landforms , (submitted).
SCEC Contribution 11844
Chen, Z. ,
Keating, D. ,
Das, J. ,
Wittich, C. , &
Arrowsmith, R. (2021, 08). Virtual Shake Robot: Dynamics Simulation of Precariously Balanced Rocks for Hazard Analysis . Poster Presentation at 2021 SCEC Annual Meeting.
SCEC Contribution 11255
Chen, Z. ,
Scott, T. R. , Bearman, S., Anand, H.,
Keating, D. ,
Scott, C. P. ,
Arrowsmith, R. , &
Das, J. (2020, 08). Geomorphological Analysis Using Unpiloted Aircraft Systems, Structure from Motion, and Deep Learning. Poster Presentation at IEEE/RSJ International Conference on Intelligent Robots and Systems.
SCEC Contribution 10775
Das, J. ,
Arrowsmith, R. ,
Chen, Z. ,
Scott, T. R. ,
Scott, C. P. , &
Keating, D. (2020, 08). Advancing earthquake science with robotics and AI. Oral Presentation at 2020 SCEC Annual Meeting.
SCEC Contribution 10253
Scott, T. R. ,
Chen, Z. ,
Scott, C. P. ,
Das, J. , &
Arrowsmith, R. (2019, 08). Rock Traits from Machine Learning: applications to precariously balanced rocks and fault scarps in Southern California. Poster Presentation at 2019 SCEC Annual Meeting.
SCEC Contribution 9712
Last updated Apr 03, 2023.
