senobari | Statewide California Earthquake Center

Nader Shakibay Senobari

University of California, Riverside

Project Scientist

Expertise: Seismology, Programming

About Me Publications

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SCEC Participation

SCEC Mentor (2015)

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Contreras, N. A., Funning, G. J., Taira, T., & Shakibay Senobari, N. (2023, 09). How robust are repeating earthquake detections? A comparison of different detection strategies. Poster Presentation at 2023 SCEC Annual Meeting. SCEC Contribution 13193

Shakibay Senobari, N., Zimmerman, Z., Funning, G., Shearer, P. M., Brisk, P., & Keogh, E. (2019, 08). Using the Matrix Profile to detect seismic events – from the lab experiment scale to local and global scales. Poster Presentation at 2019 SCEC Annual Meeting. SCEC Contribution 9835

Shakibay Senobari, N., Funning, G., Zimmerman, Z., Zhu, Y., & Keogh, E. (2018, 08). The Similarity Matrix Profile, an efficient method for detecting both low and high signal to noise ratio seismic events in very long time series. Poster Presentation at 2018 SCEC Annual Meeting. SCEC Contribution 8705

Shakibay Senobari, N., & Funning, G. J. (2017, 08). Repeating earthquakes detected by a new fast method reveal complex creep behavior in the northern San Francisco Bay Area. Poster Presentation at 2017 SCEC Annual Meeting. SCEC Contribution 7837

Shakibay Senobari, N., & Funning, G. J. (2016, 08). Using a fast similarity search algorithm to identify repeating earthquake sequences . Poster Presentation at 2016 SCEC Annual Meeting. SCEC Contribution 6941

Last updated Sep 19, 2024.

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Nader Shakibay Senobari

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