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Leila Taghizadeh

Projektass.in(FWF) Dr.in techn. Leila Taghizadeh MSc

Gruppenleiterin für Uncertainty Quantification

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Welcome to my homepage!

I am Group Leader and FWF Elise Richter Fellow at the Institute of Analysis and Scientific Computing at TU Wien (Research Group Uncertainty Quantification) and currently the PI of the FWF Elise Richter Project V1000. I am also a member of the Vienna Center for PDEs and of the Society for Industrial and Applied Mathematics (SIAM), opens an external URL in a new window. My research focuses on developing mathematical and computational methods of uncertainty quantification (UQ) and statistical inverse problems for complex systems in computational science and engineering. To this end, I leverage theory and methods from mathematics and statistics including numerical methods for PDEs, probability and statistics, inverse problems, and optimization.

News!

October 2023: If you are interested to write a Master's or Bachelor's thesis in Uncertainty Quantification, please see my projects for possible topics. I am also happy to discuss other related and possible topics of your interest.

[Translate to English:] photo of Leila

[Translate to English:] [Zum Verschieben anwählen und ziehen] Ting Chung

June 2023: My interview at TU Wien about my research in the context of Woman in Science, opens an external URL in a new window.

Photo by ©TU Wien/Ting Chung

[Translate to English:] FWF fellowship

November 2022: My research proposal with the title Computational Uncertainty Quantification in Nanotechnology has been approved for funding by the Austrian Science Fund (FWF).

Photo by ©FWF/Elena Azzalini

Research Interests:

Numerical Methods for Uncertainty Quantification (UQ)
PDE-based Bayesian Inverse Problems
Optimal Experimental Design
Multilevel Monte-Carlo Methods
UQ in Computational Science and Engineering
Applications in nanoelectronics, tomographic imaging, biology and medicine

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TU Wien
Institute of Analysis and Scientific Computing
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1040 Vienna, Austria

Office: DA 03 L12

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Address

TU Wien
Institute of Analysis and Scientific Computing
Wiedner Hauptstraße 8-10/E101/3
1040 Vienna, Austria

Office: DA 03 L12

Campus Freihaus 3.rd floor, green section
Map, opens an external URL in a new window

My Business Card, opens an external URL in a new window

Links

Google Scholar, opens an external URL in a new window

ResearchGate, opens an external URL in a new window

LinkedIn, opens an external URL in a new window

Twitter, opens an external URL in a new window

ASC-Nextcloud, opens an external URL in a new window

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TU-Portal, opens an external URL in a new window

MathSciNet, opens an external URL in a new window

ReposiTUm, opens an external URL in a new window

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