Presentations

  • Randomized Dimension Reduction for Large-Scale Data Analysis, SIGAI Career Network and Conference, Northeastern University, October 2016. (Oral presentation) 
  • Preconditioned Data Sparsification for Big Data with Applications to PCA and K-means, SIAM Front Range Applied Mathematics Student Conference (FRAM), University of Colorado Denver, March 2016. (Oral presentation) 
  • Preconditioned Data Sparsification for Big Data with Applications to PCA and K-means, February Fourier Talks, Department of Mathematics, University of Maryland, February 2016. (Poster presentation) 
  • Efficient PCA for Large High-Dimensional Datasets via Randomized Sketching, Duke Workshop on Sensing and Analysis of High-Dimensional Data (SAHD), Duke University, July 2015. (Whiteboard session) 
  • Efficient Dictionary Learning via Very Sparse Random Projections, Sampling Theory and Applications (SampTA) conference, American University, Washington D.C., May 2015. (Oral presentation) 
  • 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 (LANL), New Mexico, March 2015. (Oral presentation) 
  • Signal Processing and Learning for Big Data via Random Projections, SIAM Front Range Applied Mathematics Student Conference (FRAM), University of Colorado Denver, February 2015. (Oral presentation) 
  • Kernel Compressive Sensing, Duke Workshop on Sensing and Analysis of High- Dimensional Data (SAHD), Duke University, July 2013. (Poster presentation) 
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