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Houman Owhadi
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Email: [email protected]
Phone: 626-395-1768
Home  /  People  /  Houman Owhadi

Houman Owhadi

Professor of Applied and Computational Mathematics and Control and Dynamical Systems
B.S., Ecole Polytechnique (France), 1994; M.S., Ecole Nationale des Ponts et Chaussees, 1997; Ph.D., Ecole Polytechnique Federale de Lausanne (Switzerland), 2001. Assistant Professor, Caltech, 2004-11; Professor, 2011-.
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Statistical Numerical Approximation. Numerical homogenization. Operator adapted wavelets. Fast solvers. Gaussian process regression. Machine learning. Multi-scale and stochastic analysis. Stochastic mechanics and geometric integration. Uncertainty Quantification.

Overview

Professor Owhadi's research concerns the exploration of interplays between numerical approximation, statistical inference and learning  from a game theoretic perspective. Whereas the process of discovery is usually based on a combination of trial and error,  insight and plain guesswork, his research is motivated by the facilitation/automation possibilities  emerging from these interplays.

Related News

Professor Owhadi Elected SIAM Fellow
Professor Owhadi Receives 2019 Dahlquist Prize From SIAM
Ayya Alieva Receives 2018 Henry Ford II Scholar Award
Meet the 2017 Amazon Fellows
Read more news   >

Publications

View more publications on feeds.library.caltech.edu

Related Courses

2022-23
ACM 118 – Stochastic Processes and Regression
ACM/IDS 216 – Markov Chains, Discrete Stochastic Processes and Applications
2021-22
ACM 118 – Stochastic Processes and Regression
ACM/IDS 216 – Markov Chains, Discrete Stochastic Processes and Applications
2020-21
ACM 118 – Stochastic Processes and Regression
ACM/IDS 216 – Markov Chains, Discrete Stochastic Processes and Applications
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