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

• Associate Professor in Electrical and Computer Engineering (ECE), Seoul National University (SNU), Seoul, South Korea (2021 - )

  • Affiliated with Institute of New Media and Communications, SNU, Seoul, South Korea (2021 - )

  • Affiliated with Interdisciplinary Program in AI, SNU, Seoul, South Korea (2021 - )

• Assistant / Associate Professor in ECE (later AI / EE), Ulsan National Institute of Science and Technology (UNIST), Ulsan, South Korea (2013 - 2021)

• Research Fellow in EECS / Radiology, University of Michigan, Ann Arbor, USA (2011 - 2013)

• Research Fellow in Radiology, Harvard Medical School / Massachusetts General Hospital, Boston, USA (2009 - 2011)

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

• SNU CoE Outstanding Teaching Award (2022)

• 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 Image Processing (2023-)

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

• IEEE Biometrics Council Representative for IEEE Vehicular Technology Society (2023-)

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

• Area Chair of IEEE ICASSP (2018, 2020, 2022, 2024)

• 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