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My dissertation research focuses on signal/image processing and compressed sensing.  It explores novel modeling techniques for signals and images, and in the development of algorithms that exploit these models to perform compressed sensing recovery, measurement system design, compression, and various other processing and analysis tasks.

I am also interested in computer vision, machine learning, data analysis and visualization.

Publications:

• Robert Crandall, Ali Bilgin: "Lossless Image Compression using Causal Block Matching and 3D Collaborative Filtering."  IEEE International Conference on Image Processing, 2014 (to appear).  preprint
  
• Robert Crandall, Bin Dong, Ali Bilgin: "Randomized Iterative Hard Thresholding for Sparse Approximations." Submitted to IEEE Transactions on Signal Processing.  Preprint 

Conference Participation:

• SIAM Imaging Sciences 2014, Hong Kong (contributed talk)
  
• IPAM workshop, Adaptive Data Analysis and Sparsity (poster) (January 28th - February 1st 2013)

Miscellaneous:

• Collaborative Sparsity and Compressive MRI (Modeling and Computation Seminar, University of Arizona, February 14th 2013) (slides)
  
• Comprehensive examination report
• Third semester term paper on compressed sensing (slides)
• Project report on the Chan-Vese segmentation algorithm (code)
• Second semester term paper on Hilbert space frames (slides)