Welcome to my personal website!
I’m Hojjat Kaveh, a PhD candidate at California Institute of Technology. I conduct interdisciplinary research at the intersection of applied mathematics and geophysics. I am interested in forecasting, uncertainty quantification, and control of complex dynamical systems.
I am fortunate to be advised by Jean Philippe Avouac and Andrew Stuart.
Applied and Computational Mathematics
Dynamical Systems
Bayesian Inverse Problems and Data Assimilation
Uncertainty Quantification
Scientific Machine Learning
Geophysical Modeling
2026:
May: Preprint out on Amortized Energy-Based Bayesian Inference.
April: Preprint out on Bayesian Calibration of dynamic models of earthquake sequences using observations from past large earthquakes.
March: I gave a talk at SIAM UQ in Minneapolis on addressing some of the challenges in earthquake forecasting and uncertainty quantification.
Jan: Our paper on Data Assimilation in ROM of Chaotic Earthquake Cycles has been published in GJI.
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.
