Shankho Niyogi
University of California Riverside/National Energy Technology Laboratory Pittsburgh
Postdoctoral Researcher
About Me
Publications
Niyogi, S., & Ghosh, A. (2025, 09). Temporal evolution of local seismicity along the Sagaing fault with reference to the March 2025 M7.7 Myanmar earthquake sequence. Poster Presentation at 2025 SCEC Annual Meeting. SCEC Contribution 14956
Parida, B., Ghosh, A., Niyogi, S., Ford, H. A., Bravo, G., Stroup, A., Margolis, A., Periollat, A. J., Nakaya, S., & Leung, R. (2025, 09). Aftershock imaging with a rapid response array for the April 14, 2025 magnitude 5.2 Julian, California earthquake. Poster Presentation at 2025 SCEC Annual Meeting. SCEC Contribution 14923
Ghosh, A., Niyogi, S., Marschall, E. O., Douilly, R., & Oglesby, D. D. (2024, 09). Studying the San Andreas-Garlock branch fault system by applying a machine learning approach driven by an earthquake simulator. Poster Presentation at 2024 SCEC Annual Meeting. SCEC Contribution 13952
Niyogi, S., Ghosh, A., Kumar, A., & Hammack, R. (2023, 09). Evidences of long-period long-duration (tremor) signals occurring in fluid injection sites are generated due to aseismic fault slip.. Poster Presentation at 2023 SCEC Annual Meeting. SCEC Contribution 13282
Ghosh, A., Niyogi, S., Marschall, E. O., Douilly, R., & Oglesby, D. D. (2023, 09). Which way rupture will propagate at the junction of the San Andreas and Garlock fault? – insights from the intersection of earthquake simulation and machine learning. Poster Presentation at 2023 SCEC Annual Meeting. SCEC Contribution 13270
Niyogi, S., Ghosh, A., Yates, A., & Oglesby, D. D. (2022, 09). Implications from the study of ambient noise velocity drop on the footwall and hanging wall of the M5.7 Magna earthquake on the Wasatch fault. Poster Presentation at 2022 SCEC Annual Meeting. SCEC Contribution 12325
Ghosh, A., Zhou, Y., Niyogi, S., Mendoza, M. M., Chaudhuri, K., Wu, B., Yue, H., Fang, L., Zhou, S., & Birkey, A. (2021, 08). 2019 Ridgecrest earthquake sequence: RAPID seismic deployment and a new aftershock catalog based on machine learning. Poster Presentation at 2021 SCEC Annual Meeting. SCEC Contribution 11585
Last updated Aug 25, 2025.