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Welcome to my personal website. I'm Hojjat Kaveh, a PhD candidate at the Caltech Seismolab, where I explore the frontiers of geophysics, seismology, inverse problems, and machine learning. My work is dedicated to understanding and forecasting seismic events—bridging physical models with data-driven insights to mitigate seismic risks. I am guided by the expert mentorship of Jean Philippe Avouac and Andrew Stuart.
Research Interest
Applied and Computational Mathematics
Machine Learning
Dynamical system
High-dimensional chaos
Inverse Problem and Data Assimilation
Rare Events
Earthquake and Slow Slip Event Prediction
Seismology
DAS
News
2024:
Dec: I am convening the T018 session at AGU24, focusing on physics-based earthquake forecasting, bringing together experts in dynamical models, laboratory experiments, induced seismicity, and geophysical observations.
Dec: I presented my poster at AGU24 on a method to find the ROM of the earthquake cycle using machine learning.
Nov: Our paper is published in GJI. Predicting large events in a chaotic sequence of slow slip events using concepts in the dynamical system theory.
July: I participated in the DAS workshop held at Caltech at the GMG center.
June: Submit your abstract to our AGU24 session on physics-based earthquake forecasting. Click here to see details.
March: New Preprint out on spatiotemporal forecasting of extreme events in chaotic earthquake cycles.
2023:
Dec: Our Paper is published in SRL. Induced seismicity forecasting with uncertainty quantification: Application to the Groningen gas field.
Dec: I am presenting my work on the spatiotemporal forecast of
large events in a chaotic sequence of earthquake cycles at AGU 2023.
Oct: Our Paper is published in GRL. Earthquake nucleation unraveled by the seasonality of seismicity.
Sep: I am presenting my poster on the Predictability of Extreme events in a dynamical model of earthquake cycles.
June: Another preprint is out. I am a co-author of a research led by Mateo Acosta.
June: My first preprint of my PhD project is out! Uncertainty Quantification in induced seismicity forecasting.
2022:
Sep, Dec: I presented my work at AGU 2022 on induced seismicity forecasting with uncertainty quantification.
Sep: I am participating in SCEC 2022.
2021:
Sep: I joined Caltech as a graduate student.
