Geophysicist | Geodesist | Seismologist | Open-source Developer
I am a geophysicist with a background in computational geophysics, currently working as a postdoctoral researcher at UC Berkeley. My research focuses on seismic data analysis, structural health monitoring, and understanding deep Earth structures. I have had the opportunity to work on diverse projects, from investigating building characteristics using smartphone data to developing 3D models of the Earth’s mantle beneath the Yellowstone hotspot.
In addition to my research, I have experience in cloud computing, high-performance computing, and single-board computers, which I have applied in various projects. This includes working with platforms like AWS, GCP, Linode, DigitalOcean, as well as supercomputing environments such as STAMPEDE2, ANVIL, Savio and PERLMUTTER (and CORI). My work involves developing innovative solutions for structural health monitoring and advancing real-time seismic response analysis. I am committed to applying these skills to further research in computational seismology and structural health monitoring.
Publications
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Janapati, J., Seela, B. K., Lin, P.-L., Lan, C.-H., Tu, C.-C., Kumar, U., & Huang, M.-Q. (2023). An assessment of rainfall kinetic energy functional relationships with GPM DPR. Journal of Hydrology, 617, 128754. https://doi.org/10.1016/j.jhydrol.2022.128754 Cite Download
Patel, S. C., Günay, S., Marcou, S., Gou, Y., Kumar, U., & Allen, R. M. (2023). Toward Structural Health Monitoring with the MyShake Smartphone Network. Sensors, 23(21), 8668. https://doi.org/10.3390/s23218668 Cite Download
Legendre, C. P., & Kumar, U. (2023). Seismological Data Quality Controls—A Synthesis. In Sandeep, P. Kumar, H. Mittal, & R. Kumar (Eds.), Geohazards: Analysis, Modelling and Forecasting (pp. 51–71). Springer Nature. https://doi.org/10.1007/978-981-99-3955-8_4 Cite Download
Kumar, U., Legendre, C. P., Lee, J.-C., Zhao, L., & Chao, B. F. (2022). On analyzing GNSS displacement field variability of Taiwan: Hierarchical Agglomerative Clustering based on Dynamic Time Warping technique. Computers & Geosciences, 169, 105243. https://doi.org/10.1016/j.cageo.2022.105243 Cite Download
Kumar, U., & Legendre, C. P. (2022). Crust-mantle decoupling beneath Afar revealed by Rayleigh-wave tomography. Scientific Reports, 12(1), 17036. https://doi.org/10.1038/s41598-022-20890-5 Cite Download
Kumar, U., Legendre, C. P., Zhao, L., & Chao, B. F. (2022). Dynamic Time Warping as an Alternative to Windowed Cross Correlation in Seismological Applications. Seismological Research Letters. https://doi.org/10.1785/0220210288 Cite Download
Kumar, U., Legendre, C. P., & Huang, B. S. (2021). Crustal structure and upper mantle anisotropy of the Afar triple junction. Earth, Planets and Space, 73(1), 166. https://doi.org/10.1186/s40623-021-01495-0 Cite Download
Seela, B. K., Janapati, J., Kalath Unnikrishnan, C., Lin, P.-L., Le Loh, J., Chang, W.-Y., Kumar, U., Reddy, K. K., Lee, D.-I., & Venkatrami Reddy, M. (2021). Raindrop Size Distributions of North Indian Ocean Tropical Cyclones Observed at the Coastal and Inland Stations in South India. Remote Sensing, 13(16), 3178. https://doi.org/10.3390/rs13163178 Cite
Kumar, U., Chao, B. F., & Chang, E. T.-Y. Y. (2020). What Causes the Common‐Mode Error in Array GPS Displacement Fields: Case Study for Taiwan in Relation to Atmospheric Mass Loading. Earth and Space Science, 0–2. https://doi.org/10.1029/2020ea001159 Cite Download
Kumar, U., & Chao, B. F. (2019). Crustal Motion of Active Plate Convergence in Eastern Taiwan, 2007-2018: Agglomerative Clustering based on Dynamic Time Warping. Earth and Space Science Open Archive, 1. https://doi.org/https://doi.org/10.1002/essoar.10501536.1 Cite
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