BISPL- BioImaging, Signal Processing & Learning Lab @ KAIST AI
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2022 BISPL Awards.  Congratulations!

12/21/2022

 
The 2022 award ceremony was held on December 21th, 2022 during the BISPL Year End party @Sweet Beijing. The awardees are:
  • The Best Researcher of the Year Award:  Hyungjin Chung
  • The Best Doctoral Student of the Year Award:  Sangjoon Park
  • The Best Master Student of the Year Award:    Beomsu Kim
Their achievement can be found from the following PDF file. Congratulations !
bispl2022-awardee.pptx
File Size: 651 kb
File Type: pptx
Download File

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    BISPL Hall of Fame

     BISPL awards was created in 2013 to recognize the contributions of BISPL researchers during the year. The criterion for the selection is based on the research, and services . There are three categories:

    - Best Researcher 
     (best researchers among postdoc, researchers and graduate students)
    - Best Doctoral Student 
    (best researcher among Ph.D. students)
    - Best Master Student 
    (best researcher among M.S. stduents)

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ABOUT US
Our research activities are primarily focused on the signal processing and machine learning  for high-resolution high-sensitivity image reconstruction from real world bio-medical imaging systems. Such problems pose interesting challenges that often lead to investigations of fundamental problems in various branches of physics, mathematics, signal processing, biology, and medicine. While most of the biomedical imaging researchers are interested in addressing this problem using off-the-self tools from signal processing, machine learning, statistics, and optimization and combining their domain-specific knowledge, our approaches are unique in the sense that I believe that actual bio-medical imaging applications are a source of endless inspiration for new mathematical theories and we are eager to solve both specific applications and application-inspired fundamental theoretical problems. 
CONTACT US
Bio Imaging. Signal Processing & Learning
Graduate School of AI
KAIST
291 Daehak-ro, Yuseong-gu
Daejeon 305-701, Korea

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