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Miao Zhang

Associate Professor

Dalhousie University

Canada

Research Interests

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About

Dr. Miao Zhang is an Assistant Professor at Dalhousie University, Canada. His research focuses on earthquake mechanics, utilizing advanced techniques such as deep learning for earthquake source characterization and location. Recent publications include works on the initiation and evolution of earthquake swarms, as well as applications of machine learning in seismology.

Articles (10)

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2022

Year:

2021

Collaborators (1)

Xinglin Lei

National Institute of Advanced Industrial Science and Technology (AIST)

JAPAN

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Miao Zhang

Research Interests

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Articles (10)

Complexity of initiation and evolution of the 2013 Yunlong earthquake swarm

DiTingMotion: A deep-learning first-motion-polarity classifier and its application to focal mechanism inversion

P/SV Amplitude Ratios of Shallow Isotropic Explosions and Earthquakes Could Be Indistinguishable at Local Distances: Insights from Single-Station Waveform Simulations

Spatiotemporal Graph Convolutional Networks for Earthquake Source Characterization

Using the match-and-locate method to characterize foreshocks of the July 2019 MW6.4 Ridgecrest, California earthquake

Multistage Nucleation of the 2021 Yangbi M <sub>S</sub> 6.4 Earthquake, Yunnan, China and Its Foreshocks

Multistage Nucleation of the 2021 Yangbi M<sub>S</sub> 6.4 Earthquake, Yunnan, China and Its Foreshocks

LOC-FLOW: An End-to-End Machine Learning-Based High-Precision Earthquake Location Workflow

Investigation of the 2013 Eryuan, Yunnan, China M<sub>S</sub> 5.5 Earthquake Sequence: Aftershock Migration, Seismogenic Structure and Hazard Implication

Machine-learning-based earthquake locations reveal the seismogenesis of the 2020 Mw 5.0 Qiaojia, Yunnan earthquake

Collaborators (1)

Xinglin Lei

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