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Welcome to my personal website!
I’m Hojjat Kaveh, a PhD candidate in the Mechanical and Civil Engineering Department at Caltech.
My research lies at the intersection of applied mathematics, dynamical systems, scientific machine learning, inverse problems, and data assimilation. During my PhD, I focus on developing methodologies for time-dependent, spatiotemporal earthquake forecasting, with an emphasis on integrating physics-based earthquake models with diverse observational datasets, including seismic catalogs, geodetic measurements, and paleoseismic records. I am fortunate to be advised by Jean Philippe Avouac and Andrew Stuart.
Research Interest
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
News
News
2025:
July: Preprint out on Data Assimilation in ROM of Chaotic Earthquake Cycles.
July: I will be organizing a GMG Deep Dive on “AI, Optimization, and Control with Applications to Subsurface Geophysics,” bringing together researchers to explore cutting-edge methods in data-driven modeling, inverse problems, and computational techniques for geophysical systems.
June: I will be attending the IMSI workshop “Statistical and Computational Challenges in Probabilistic Scientific Machine Learning” in Chicago, 2025
May: I will present my research on reduced-order modeling (ROM) of multiscale earthquake sequences at the 2025 SIAM Conference on Applications of Dynamical Systems in Denver
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.
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