|
The 2023 award ceremony was held on December 27th, 2023 during the BISPL Year End party. The awardees are:
The 2022 award ceremony was held on December 21th, 2022 during the BISPL Year End party @Sweet Beijing. The awardees are:
The 2021 award ceremony was held on December 29th, 2021 during the BISPL Year End Zoom meeting. The awardees are:
The 2020 award ceremony was held on December 29th, 2020 during the BISPL Year End Zoom meeting. The awardees are:
  The 2019 award ceremony was held on December 23th, 2019 during the BISPL Year End Party. The awardees are:
The 2018 award ceremony was held on December 28th, 2018 during the BISPL Year End Party. The awardees are:
The 2017 award ceremony was held on December 22th, 2017 during the BISPL Year End Party. The awardees are:
The 2016 award ceremony was held on December 28th, 2016 during the BISPL Year End Party. The awardees are:
The 2015 award ceremony was held on December 24rd, 2015 during the BISPL Year End Party. The awardees are:
  The 2014 BISPL Awards were given during 2014 BISPL Year End Party, which was held on Dec. 31, 2014. The winners of this years were:
|
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: |
||||
|
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 bomedical 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 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.
|
Our location
Graduate School of AI
KAIST 108 Taebong-ro, Seocho-gu, Seoul, 06764 Republic of Korea Copyright (c) 2025, BISPL All Rights Reserved. |
|
RSS Feed