Papers


Journal Articles

  1. M. A. Iwen
    Combinatorial Sublinear-Time Fourier Algorithms (.pdf),
    Revised, 2009.
  2. M. A. Iwen & C. V. Spencer,
    A Note on Compressed Sensing and the Complexity of Matrix Multiplication(.pdf),
    Information Processing Letters, Vol. 109, Issue 10, April, 2009.
  3. Farrell, B., Yi Huang, Mark Iwen, Ting Wang, Lisa Zhang, and Jintong Zheng,
    Wavelength Assignment in Optical Network Design(.pdf),
    Mathematics-in-Industry Case Studies (MICS), Vol. 1, 2008.
  4. M. A. Iwen, Anna Gilbert, and Martin Strauss,
    Empirical Evaluation of a Sub-Linear Time Sparse DFT Algorithm (.pdf),
    Communications in Mathematical Sciences, Vol. 5, No. 4, December, 2007.

Refereed Conference Proceedings

  1. M. A. Iwen
    Sublinear-Time Fourier Algorithms with Recovery Guarantees and Uniformly Bounded Sampling Requirements(.pdf),
    Submitted, (2009).
  2. M. A. Iwen
    Simple Deterministically Constructible RIP Matrices with Sublinear Fourier Sampling Requirements (.pdf),
    43rd Annual Conference on Information Sciences and Systems (CISS), Baltimore, MD, (2009).
  3. M. A. Iwen
    Empirical Evaluation of Two Deterministic Sparse Fourier Transforms (.pdf),
    43rd Annual Conference on Information Sciences and Systems (CISS), Baltimore, MD, (2009).
  4. Anna C. Gilbert, M. A. Iwen, and Martin J. Strauss,
    Group Testing and Sparse Signal Recovery (.pdf),
    42nd Asilomar Conference on Signals, Systems, and Computers, Monterey, CA, (2008).
  5. M. A. Iwen & C. V. Spencer,
    Improved Bounds for a Deterministic Sublinear-Time Sparse Fourier Algorithm (.pdf),
    42nd Annual Conference on Information Sciences and Systems (CISS), Princeton, NJ, (2008).
  6. M. A. Iwen, W. Lang, and J. Patel,
    Scalable Rule-Based Gene Expression Data Classification [Extended Version - BST Classification] (.pdf),
    IEEE International Conference on Data Engineering (ICDE), 2008.
  7. M. A. Iwen,
    A Deterministic Sub-linear Time Sparse Fourier Algorithm via Non-adaptive Compressed Sensing Methods (.pdf),
    ACM-SIAM Symposium on Discrete Algorithms (SODA), San Francisco, CA, (2008).
  8. M. A. Iwen, G. S. Mandair, M. D. Morris, M. Strauss,
    Fast Line-Based Imaging of Small Sample Features (.pdf),
    IEEE International Conference on Acoustics, Speech, and Signal Processing(ICASSP), Honolulu, Hawaii, April 2007.
  9. Jason Laska, Sami Kirolos, Yehia Massoud, Richard Baraniuk, Anna Gilbert, Mark Iwen, Martin Strauss
    Random Sampling for Analog-to-Information Conversion of Wideband Signals (.pdf),
    IEEE Dallas Circuits and Systems Workshop (DCAS), Dallas, TX, 2006.
  10. Mark Iwen & Amol D. Mali,
    DSatz: A Directional SAT Solver for Planning (.ps or .pdf),
    Proceedings of IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Washington D.C., November 2002, pp. 199-208.
  11. Mark Iwen & Amol D. Mali,
    Distributed Graphplan (.ps or .pdf),
    Proceedings of IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Washington D.C., November 2002, pp. 138-145.
  12. Mark Iwen & Amol D. Mali,
    Automatic Problem Decomposition for Distributed Planning (.ps or .pfd ),
    Proceedings of the International Conference on Artificial Intelligence (IC-AI), Vol. 1, Las Vegas, June 2002, pp. 411-417.
  13. Mark Iwen and Amol D. Mali,
    Interaction Graphs for Planning Problem Decomposition (.ps or .pdf),
    Proceedings of international conference on autonomous agents and multi-agent systems (AAMAS), Italy, 2002, pp. 984-985.

Selected Talks

  1. Group Testing for Sparse Signals (ppt)
    Combinatorial Compressed Sensing: Fast algorithms with Recovery Guarantees, 2009.
  2. Thesis Defense (pdf)
    Combinatorial Compressive Sampling with Applications, 2008.
  3. Sparse Spectral Methods (pdf)
    Numerical Analysis of Multiscale Computations Workshop, Banff, January 28-February 2, 2007.