Inkyu An
Researcher
Researcher at Electronics and
Telecommunications Research Institute



CV: download as PDF

Research Interest

  • Sound Source Localization
  • Automatic Speech Recognition
  • Robot Audition
  • Robotics

Experience

  • Aug. 2023 ~ Present Researcher at Electronics and Telecommunications Research Institute (ETRI)

Education

  • Mar. 2018 ~ Aug. 2023 Ph.D., School of Computing, KAIST
    • Advisor: Sung-Eui Yoon
  • Mar. 2016 ~ Feb. 2018 M.S., Robotics Program, KAIST
    • Advisor: Sung-Eui Yoon
  • Mar. 2009 ~ Feb. 2016 B.S., Electronic Engineering, Dongguk Univ.

Publications

Patents

  • System and Method for Localization for Non-line-of-sight Sound Source
    Inkyu An, Doheon Lee, Sung-Woo Choi, and Sung-Eui Yoon
    US, Registration Number/Date (US11353581B2 / 2022-06-07)

  • System and Method for Localization for Non-line of-sight Sound Source Using Diffraction aware
    Inkyu An, Doheon Lee, Sung-Woo Choi, and Sung-Eui Yoon
    South Korea, Registration Number/Date (10-2174598-0000 / 2020-10-30)

  • System and Method for Sound Source Localization Using Reflection aware
    Inkyu An, Myungbae Son, and Sung-Eui Yoon
    South Korea, Registration Number/Date (10-2105752-0000 / 2022-04-22)

Media Coverages

  • Interview of Young researcher (신진연구자 인터뷰) in MERIC, 2020

  • Our back-propagation signal-based sound source localization techniques were chosen as research highlights of 2020 and covered in the Annual R&D Report

  • Our diffraction- and reflection- aware sound source localization techniques were chosen as research highlights of 2019 and covered in the Annual R&D Report

Research Activities

  • Main organizer: Sung-Eui Yoon,
    Co-organizer: Dinesh Manocha,
    Publicity chair: Inkyu An

  • A tutorial at KCC 2021: Sound Source Localization techniques for AI speakers and Robots
    (AI 스피커 및 로봇을 위한 소리 위치 추적 기술에 관한 튜토리얼)
    Speakers: Sung-Eui Yoon, Inkyu An, Taeyoung Kim

  • Teaching Assistant for Senior Data Scientist at Samsung SDS
    Lecturer: Sung-Eui Yoon,
    Teaching Assistants: Woobin Im, Jaeyoon Kim, Heechan Shin, Inkyu An
    Machine learning: Tree model and Recommendation, 2019-2020