Creating innovative bio-convergent technologies for better human life

이 상완
  • 조교수
  • 연구실: 516호, E16-1
  • +82-42-350-4334
  • 2009 KAIST 전기및전자공학과 박사

계산신경과학, 뇌 기반 인공지능

  • 2015 ~ 현재

    한국과학기술원(KAIST) 바이오및뇌공학과 조교수

  • 2017 ~ 현재

    한국과학기술원(KAIST) 인공지능연구소 겸임교수

  • 2016 ~ 현재

    한국과학기술원(KAIST) 헬스사이언스 연구소 겸임교수

  • 2011 ~ 2015

    미국 Caltech, Della Martin Postdoctoral Scholar

  • 2010 ~ 2011

    미국 MIT, Postdoctoral Associate

  • 2009 ~ 2010

    한국과학기술원(KAIST) Postdoctoral Associate

대외활동 주요 학회 활동 (학회장, 위원회 활동 등)
  • 한국지능시스템학회 이사 (2016.1~현재)
  • 계산뇌과학회, 총무이사 (2016.1~현재)

국내외 학술대회 활동 (조직위원, 기조강연, 등)
  • Program committee, 4th IEEE International Winter Conference on Brain-Computer Interface (2016)
  • Program committee, 5th IEEE International Winter Conference on Brain-Computer Interface (2017)
  • Program committee, Next Generation AI: 2017 Perception, Action, and Cognitive Systems Symposium (PACS-2017)(2017)
  • Program committee,The International Conference on Robot Intelligence Technology and Applications (RiTA)(2017)

주요 학술지 활동 (편집장 및 편집위원)
  • Reviewer, Nature Human Behavior, PLOS Computational Biology(2017)

수상 경력: 교내, 교외
  • Google Faculty Research Award (computational neuroscience), Google, USA (2017)
  • KIIS Young Investigator Award, Korean Institute of Intelligent Systems, Republic of Korea (2016)
  • Outstanding Paper Award, 2016 spring conference on intelligent systems (Korean Institute of Intelligent Systems)(2016)
  • ICROS Young Investigator Award, Institute of Control, Robotics and Systems, Republic of Korea(2016)
  • Della Martin Fellowship in Mental Illness, Della Martin Foundation, USA(2014)
대표 연구실적
  • 1. Faculty awards : Google faculty research award in computational neuroscience (2017), KIIS Young Investigator Award (2016), ICROS Young Investigator Award (2016)
  • 2. Student awards
    - Best paper award, The 18th International Symposium on Advanced Intelligent Systems, 2017
    - Outstanding Paper Award, KIIS Fall Conference 2017
    - Outstanding Paper Award, KIIS Spring Conference 2017
    - Outstanding Poster Award, Korea Society of Human Brain Mapping Fall Conference 2017
    - Third Place Winner, AI World Cup 2017 (reinforcement learning soccer)
    - Outstanding Paper Award, KIIS Fall Conference 2016
  • 3. O. Choung, S. W. Lee*, and Y. Jeong*, “Exploring Feature Dimensions to Learn a New Policy in an Uninformed Reinforcement Learning Task,” Sci. Rep., vol. 7, no. 1, p. 17676, 2017.
  • 4. S. W. Lee*, T. Yi, J.-W. Jung, and Z. Bien, “Design of a Gait Phase Recognition System That Can Cope With EMG Electrode Location Variation,” IEEE Trans. Autom. Sci. Eng., vol. 14, no. 3, pp. 1429–1439, 2017.
  • 5. S. W. Lee*, J. P. O’Doherty, and S. Shimojo, “Neural Computations Mediating One-Shot Learning in the Human Brain.,” PLoS Biol., vol. 13, no. 4, p. e1002137, Apr. 2015. (Synopsis “How one-shot learning unfolds in the brain” by Weaver, J.)
  • 6. S. W. Lee*, S. Shimojo, and J. P. O’Doherty, “Neural Computations Underlying Arbitration between Model-Based and Model-free Learning,” Neuron, vol. 81, no. 3, pp. 687–699, Feb. 2014. (Front cover; preview “Decisions about decisions” by Yoshida, W. and Seymour, B.)
  • 7. S. W. Lee*, O. Prenzel, and Z. Bien, “Applying human learning principles to user-centered IoT systems,” IEEE Comput., vol. 46, no. 2, pp. 46–52, Feb. 2013. (cover feature)
  • 8. S. W. Lee, Y. S. Kim, and Z. Bien, “A Nonsupervised Learning Framework of Human Behavior Patterns Based on Sequential Actions,” IEEE Trans. Knowl. Data Eng., vol. 22, no. 4, pp. 479–492, Apr. 2010.
  • 9. S. W. Lee and Z. Bien, “Representation of a Fisher criterion function in a kernel feature space.,” IEEE Trans. Neural Networks, vol. 21, no. 2, pp. 333–339, Feb. 2010.