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Notice02 / Bulletin Board / Notice
 
UNIST International Workshop on Compressive Sensing
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Writer admin Date 2009/11/25
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UNIST International Workshop on Compressive Sensing 



Date: 09:00~18:00, Monday, December 7, 2009
Place:  Natural Science Bldg. E206
Invited Speakers


  Morning Session
  09:00~09:05   UNIST Video
  09:05~09:30   Opening Remark by UNIST Vice President Mooyoung Jung
  09:30~10:20   Justin Romberg | Georgia Institute of Technology
                      "Compressive Sampling for Next-Generation Signal Acquisition"
  10:20~10:40   Break Time
  10:40~11:30   Guang-Hong Chen | University of Wisconsin, Madison
                      "Applications Prior Image Constrained Compressed Sensing(PICCS) and
                       Applications in X-ray Computed Tomography"
  11:30~12:20   Xiaochuan Pan | University of Chicago
                      "Are "Incomplete" Data Really "Incomplete" in Practical Tomographic Imaging?"
  12:20~14:00   Lunch


  Afternoon Session
  14:00~14:40   Jong Chul Ye | Korea Advance Institute of Science and Technology
                       "General Compressive Sensing Framwork for High Resolution Dynamic MRI"
  14:40~15:20   Molin Ge | Nankai University
                       "Understanding L1 norm in Quantum Mechanics"
  15:20~16:00   Choo Hiap Oh | National University of Singapore
                      "Compressive Sensing and Quantum Information"
  16:00~16:20   Break Time
  16:20~17:00   Yoonkyun Do | UNIST
                       "Biomedical Imaging in Cancer Application"
  17:00~17:40   Jong-Seon No | Seoul National University
                       "Deterministic Construction of Compressive Sensing Matrices"
  17:40~18:00   Yongmin Cho | UNIST
                       "Prospect of CS research at UNIST"
  18:00~18:30   Panel Discussion


 For more information, please contact either via email at qta127@unist.ac.kr or by phone at 052-217-2102





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100 Banyeon-ri, Eonyang-eup, Ulju-gun, Ulsan Metropolitan City, Republic of Korea, 689-798 Phone : +82 52 217 0114 / Admissions : +82 52 217 1120
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