# Rima Alaifari

I am an Assistant Professor for Applied Mathematics at ETH Zürich. I mainly work in the fields of applied analysis and inverse problems. My research interests include stability analysis and regularization of inverse problems, tomographic reconstruction, applied harmonic analysis and signal processing.

### News

I will be giving a plenary talk at the Fields Institute during the Focus Program on Data Science, Approximation Theory, and Harmonic Analysis in May 2022.

I am organising a mini-symposium on “Advances in phase retrieval” at Curves and Surfaces 2022.

Dr. Jesse Railo, a postdoctoral researcher in my group, has won the Finnish Inverse Prize for his dissertation. Congratulations!

My talk in the One World Mathematics of INformation, Data, and Signals (1W-MINDS) Seminar is now available here.

Student thesis projects available, especially for CSE students on MSc level. Send me an email if you are interested!

I have one more open position for a PhD! If you are interested, you can apply directly via email. Prospective candidates are expected to have a strong background in applied harmonic analysis, inverse problems, deep learning or a related field.

I’m thrilled to be a plenary speaker at the upcoming 8th International Conference on Computational Harmonic Analysis in September 2020 (postponed to 2022).

My SNF funded project on “Mathematical analysis of the phase retrieval problem” has launched in October 2019.

### Short CV

**Since 10/2016** – Assistant Professor for Applied Mathematics at ETH Zürich

**01/2016-09/2016** – ETH Postdoctoral Fellow (cofunded through FP7 Marie Curie Actions)

**2014-2016** – D-MATH Postdoctoral Fellow at ETH Zürich

**2012–2014** – Ph.D. fellow of the Research Foundation Flanders (FWO)

**2010–2014** – Ph.D. in Mathematics under the supervision of Prof. Ingrid Daubechies and Prof. Michel Defrise, Vrije Universiteit Brussel

Ph.D. thesis on “Analysis of the truncated Hilbert transform arising in limited data computerized tomography”

**2005–2010** – Bachelor and Master of Science in Applied and Industrial Mathematics, Johannes Kepler University, Linz

### Teaching

**2021 Spring** – Time-frequency analysis

**2020 Fall** – Seminar on Robustness of Deep Neural Networks

**2018 Fall** – Numerical Methods for Computational Science and Engineering

**2017 Fall** – Numerical Methods for Computational Science and Engineering

**2016 Fall** – Seminar in Applied Harmonic Analysis: Frame Theory and Phase Retrieval

**2016 Spring** – Inverse Problems, Lecture Notes

**2015 Fall** – Mathematics of Computerized Tomography

**2013 Fall** – Calculus II

**2012 Spring** – Mathematical Methods of Physics

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