Finite-fault earthquake source inversion is a challenging topic in earthquake source studies, because it is an ill-posed inverse problem with many possible solutions for the same earthquake. I am interested in inferring kinematic earthquake source properties, and related uncertainties, from geophysical data. Such earthquake source models then help to understand better rupture dynamics and to devise efficient physics-based methods for ground-motion prediction.
Therefore, my current research focuses on earthquake source imaging techniques to describe the rupture process during the earthquake. The techniques involve Bayesian finite-fault inversion, back-projection, and includes uncertainty quantification. Furthermore, I am also interested to study the effects of 3-D subsurface models (obtained through seismic velocity tomography) and local site conditions in the context of seismic hazard assessment.
KAUST Fellowship (2020-present)
JICA (Japan International Cooperation Agency) Fellowship (2016)
Excellent Program Fellowship of The Ministry of Research, Technology and Higher Education of The Republic of Indonesia (2014-2016)