Nader Shakibay Senobari

University of California, Riverside
Graduate Student

Expertise: Seismology, Programming
 
 
About Me Publications
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 Aug 24, 2018.