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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). Earth Surface Processes and Landforms. A deep-learning approach to quantify and analyze rock trait distributions for the geomorphic study of rocky fault scarps, (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 Sep 07, 2022.