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Jnaneshwar Das

Arizona State University
Assistant Research Professor

Expertise: robotics, machine learning, autonomous systems, environmental monitoring, precision agriculture
 
 
About Me Publications
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 Dec 14, 2022.