Jnaneshwar Das
Arizona State University
Assistant Research Professor
Expertise: robotics, machine learning, autonomous systems, environmental monitoring, precision agriculture
About Me
Publications
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
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., 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., 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
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
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 19, 2024.