POURKAMALI.COM

Farhad Pourkamali Anaraki

Department of Applied Mathematics. University of Colorado Boulder. I am a Postdoctoral Research Associate in the Department of Applied Mathematics at the University of Colorado Boulder. I obtained my Ph.D. from the Electrical Engineering department at the University of Colorado Boulder in 2017. Algorithmic and statistical aspects of modern large-scale data analysis. Statistical machine learning and optimization. Information extraction from large high-dimensional data. Randomized numerical linear algebra.

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Farhad Pourkamali Anaraki | pourkamali.com Reviews

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Department of Applied Mathematics. University of Colorado Boulder. I am a Postdoctoral Research Associate in the Department of Applied Mathematics at the University of Colorado Boulder. I obtained my Ph.D. from the Electrical Engineering department at the University of Colorado Boulder in 2017. Algorithmic and statistical aspects of modern large-scale data analysis. Statistical machine learning and optimization. Information extraction from large high-dimensional data. Randomized numerical linear algebra.

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1 farhad pourkamali anaraki

2 research

3 publications

4 navigation

5 curriculum vitae

6 software

7 presentations

8 postdoctoral research associate

9 i work with

10 prof stephen becker

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Farhad Pourkamali Anaraki | pourkamali.com Reviews

https://pourkamali.com

Department of Applied Mathematics. University of Colorado Boulder. I am a Postdoctoral Research Associate in the Department of Applied Mathematics at the University of Colorado Boulder. I obtained my Ph.D. from the Electrical Engineering department at the University of Colorado Boulder in 2017. Algorithmic and statistical aspects of modern large-scale data analysis. Statistical machine learning and optimization. Information extraction from large high-dimensional data. Randomized numerical linear algebra.

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pourkamali.com

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Publications - Farhad Pourkamali Anaraki

http://www.pourkamali.com/publications

And S Becker, Preconditioned Data Sparsification for Big Data with Applications to PCA and K-means. And S Becker, A Randomized Approach to Efficient Kernel Clustering, Accepted in IEEE Global Conference on Signal and Information Processing (GlobalSIP). Randomized Dimension Reduction for Large-Scale Data Analysis, ACM SIGAI Career Network and Conference, 2016. Estimation of the Sample Covariance Matrix from Compressive Measurements, Accepted. S Becker, and S. Hughes,. And S Hughes,. And S Hughes,.

2

Curriculum Vitae - Farhad Pourkamali Anaraki

http://www.pourkamali.com/cv

A current CV is available here.

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Farhad Pourkamali Anaraki

http://www.pourkamali.com/home

PhD Candidate in Electrical Engineering. Department of Electrical, Computer, and Energy Engineering. University of Colorado Boulder. I am a Ph.D. candidate in Electrical Engineering at the University of Colorado Boulder. I am currently working as a research assistant under the supervision of Prof. Stephen Becker. Email: Farhad.Pourkamali@colorado.edu. I received the 2016 Graduate Award in recognition of outstanding contribution to the Department of Electrical, Computer, and Energy Engineering.

4

Software - Farhad Pourkamali Anaraki

http://www.pourkamali.com/software

MATLAB codes are available for all publications. Please contact for details.

5

Presentations - Farhad Pourkamali Anaraki

http://www.pourkamali.com/news

Efficient Algorithms for Analyzing Large High-Dimensional Datasets via Randomized Sketching," New Algorithms for Complex Data Workshop Organized by the Center for Nonlinear Studies at Los Alamos National Laboratory, March 2015. Slides available here. Signal Processing and Learning for Big Data via Randomized Sketching," 11th Annual SIAM Front Range Applied Mathematics (FRAM) Student Conference, University of Colorado Denver,.

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Farhad Pourkamali Anaraki

Department of Applied Mathematics. University of Colorado Boulder. I am a Postdoctoral Research Associate in the Department of Applied Mathematics at the University of Colorado Boulder. I obtained my Ph.D. from the Electrical Engineering department at the University of Colorado Boulder in 2017. Algorithmic and statistical aspects of modern large-scale data analysis. Statistical machine learning and optimization. Information extraction from large high-dimensional data. Randomized numerical linear algebra.

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I am grad student at New Mexico Institute of Mining and Technology. I finished my high school in Allameh-Helli high school. After I got my Bachelor's degree (Mining engineering 2011) from Tehran University in Iran, I moved to USA. I started my Master's degree (Geomechanics 2013) in New Mexico Institute of Mining Engineering.

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