Zhiang Chen
California Institute of Technology
Postdoctoral Researcher
About Me
Publications
Zuckerman, M. G., Rodriguez Padilla, A. M., Arrowsmith, R., Schwarz, M. F., & Chen, Z. (2024, 09). Quantifying the erasure of earthquake surface ruptures from desert landscapes: Implications for rupture hazard assessment. Poster Presentation at 2024 SCEC Annual Meeting. SCEC Contribution 14031
Brigham, C., Scott, C. P., Johnstone, S., Chen, Z., Crosby, C. J., & Arrowsmith, R. (2024, 09). Using the Segment Anything Model to expedite surficial geologic mapping. Poster Presentation at 2024 SCEC Annual Meeting. SCEC Contribution 13908
Tucker, L. A., Chen, Z., McPhillips, D., Scharer, K. M., Hu, M., Rodriguez Padilla, A. M., & Ross, Z. E. (2024, 09). Developing a machine learning dataset to facilitate fine-detail post-earthquake fault rupture mapping . Poster Presentation at 2024 SCEC Annual Meeting. SCEC Contribution 13741
Hu, M., Chen, Z., McPhillips, D., Scharer, K. M., Tucker, L. A., Rodriguez Padilla, A. M., & Ross, Z. E. (2024, 09). Advancing deep learning approaches to facilitate rapid post-earthquake fault mapping. Poster Presentation at 2024 SCEC Annual Meeting. SCEC Contribution 13738
Chen, Z. (2024, 09). Robotics for earthquake science: more data, new analyses. Oral Presentation at 2024 SCEC Annual Meeting. SCEC Contribution 13534
Chen, Z., Arrowsmith, R., Das, J., Wittich, C., Madugo, C. M., & Kottke, A. R. (2023, 09). Studying overturning and large displacement processes of precariously balanced rocks for ground motion estimation. Poster Presentation at 2023 SCEC Annual Meeting. SCEC Contribution 12952
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., 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
Chen, Z., Arrowsmith, R., Das, J., Wittich, C., Madugo, C., & Kottke, A. (2024). Virtual Shake Robot: Simulating Dynamics of Precariously Balanced Rocks for Overturning and Large-displacement Processes. Seismica,. doi: 10.26443/seismica.v3i1.692. SCEC Contribution 12703
Chen, Z., Scott, C. P., Keating, D., Clarke, A., Das, J., & Arrowsmith, R. (2023). Quantifying and analysing rock trait distributions of rocky fault scarps using deep learning. Earth Surface Processes and Landforms, 48(6), 1234-1250. doi: 10.1002/esp.5545. SCEC Contribution 11844
Last updated Sep 07, 2024.
