Nader Shakibay Senobari
University of California, Riverside
Project Scientist
Expertise: Seismology, Programming
About Me
Publications
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.
