Se Young Chun, PhD

Se Young Chun is interested in signal processing (SP) / machine learning (ML) / low-level, physics-based computer vision (CV) problems posed by mission-critical, large-scale computational imaging (CI) or medical imaging (MI) under challenging, non-ideal circumstances such as nonlinear image acquisition, noisy measurements with noisy labels, or subject's motion . His lab is developing algorithms to tackle these problems not only for CI / MI, but also for low-level CV / ML applications. My group is publishing his works not only in major SP / MI journals, but also in major ML / CV conferences.

Academic Appointments

Education

  • PhD in EE:Systems, University of Michigan, Ann Arbor, USA (2009)

  • MS in Mathematics, University of Michigan, Ann Arbor, USA (2005)

  • MSE in EE:Systems, University of Michigan, Ann Arbor, USA (2005)

  • BSE in EE, Seoul National University, Seoul, South Korea (1999)

Selected Honor / Award

  • IEEE Signal Processing Society Outstanding Editorial Board Member Award for IEEE Transactions on Computational Imaging (2021)

  • UNIST Outstanding Faculty Award (Education) (2020)

  • The Bruce Hasegawa Young Investigator Medical Imaging Science Award (IEEE NPSS) (2015)

  • UNIST Outstanding Teaching Award (2014)

  • Selected as the cover paper in the Journal of Nuclear Medicine 53(8) (2012)

  • Society of Nuclear Medicine Computer and Instrumentation Young Investigator Award, 2nd place (2010)

Academic Services

  • Associate Editor of IEEE Transactions on Computational Imaging (2019-2022)

  • Member of IEEE Bio Imaging and Signal Processing TC (BISP TC) (2021-2023)

  • Area Chair of IEEE ICASSP (2018, 2020, 2022)

  • Member of IEEE SPS Computational Imaging TC (CI TC) (2016-2021)

  • Reviewer

    • Journals: IEEE Transactions on Medical Imaging (2010-), IEEE Transactions on Image Processing (2010-), IEEE Transactions on Computational Imaging (2016-) and others

    • ML/CV Conference: AAAI (2021-), CVPR (2021-), ECCV (2022), ICCV (2021), ICLR (2021-), ICML (2022-), IJCAI (2021-), NeurIPS (2020-)

    • MI/SP Conference: IEEE ISBI (2016, 2019-), IEEE ICASSP (2017, 2019-), IEEE ICIP (2017-), IEEE NSS-MIC (2013-4, 2017-)

  • Organizing Committee for PAIP 2019 Liver Cancer Segmentation in Grand Challenge for Pathology at MICCAI (2019)

Contact

  • sychun at snu dot ac dot kr