Ph.D. Candidate in Electrical Engineering
Department of Electrical, Computer, and Energy Engineering

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. Also, I teach the ECEN 4532 Digital Signal Processing Lab in spring 2017. 

Research Interests

  •  Algorithmic and theoretical aspects of large-scale data analysis
  • Statistical signal processing and machine learning
  • Randomized numerical linear algebra
  • Nonlinear signal processing 
  • Applications to structural reliability analysis, healthcare, and other scientific data


  • Email: Farhad.Pourkamali@colorado.edu

Recent Announcements

  • Preprint on arXiv Our recent paper "Randomized Clustered Nystrom for Large-Scale Kernel Machines" has been posted on arXiv: https://arxiv.org/abs/1612.06470
    Posted Dec 25, 2016, 1:41 PM by Farhad Pourkamali Anaraki
  • Paper accepted at GlobalSIP 2016 'A RANDOMIZED APPROACH TO EFFICIENT KERNEL CLUSTERING' by Farhad Pourkamali-Anaraki and Stephen Becker is accepted at the 2016 IEEE GlobalSIP Symposium on Symposium on Compressed Sensing: http://www.ieeeglobalsip.org/Papers/ViewPapers.asp?PaperNum=1323 Nuit Blanche posted our paper: http://nuit-blanche.blogspot.com/2016/09/a-randomized-approach-to-efficient.html
    Posted Oct 30, 2016, 6:36 PM by Farhad Pourkamali Anaraki
  • ACM SIGAI CNC 2016 I presented a talk on "Randomized Dimension Reduction for Large-Scale Data Analysis" at ACM SIGAI Career Network and Conference. Slides are available here.
    Posted Oct 29, 2016, 2:40 PM by Farhad Pourkamali Anaraki
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