Inkyu An 안인규
Assistant Professor
Department of Software, Kookmin University
About Me
I am Inkyu An, an Assistant Professor in the Department of Software at Kookmin University.
I received my bachelor’s degree from the Department of Electronic Engineering at Dongguk University,
my master’s degree from the Robotics Program at KAIST, and my Ph.D. from the School of Computing at KAIST.
My advisor during my master’s and Ph.D. studies was Prof. Sung-Eui Yoon at the School of Computing, KAIST.
After graduating from KAIST, I worked as a researcher in the Integrated Intelligence Research Section at ETRI.
My research interests include robot audition (sound source localization, speech separation, automatic speech recognition)
and multimodal embodied AI. Ultimately, my goal is to enable robots to understand all real-world sensory information
(vision, hearing, touch, etc.) and to take appropriate actions accordingly.
Experience
Mar. 2025 – Present
Assistant Professor, Department of Software, Kookmin University
Aug. 2023 – Feb. 2025
Researcher, 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 University
Publications
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 · US 11,353,581 B2 · Registered 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 · 10-2174598-0000 · Registered 2020-10-30
System and Method for Sound Source Localization Using Reflection Aware
Inkyu An, Myungbae Son, and Sung-Eui Yoon
South Korea · 10-2105752-0000 · Registered 2020-04-22
Media Coverage
Young Researcher Interview (신진연구자 인터뷰), MERIC, 2020
2020 Annual R&D Report, KAIST
Back-propagation signal-based sound source localization techniques were selected as research highlights of 2020.
2019 Annual R&D Report, KAIST
Diffraction- and reflection-aware sound source localization techniques were selected as research highlights of 2019.
Research Activities
Workshop — ICRA 2019: Sound Source Localization and Its Application
Main organizer: Sung-Eui Yoon · Co-organizer: Dinesh Manocha · Publicity chair: Inkyu An
Tutorial — KCC 2021: Sound Source Localization Techniques for AI Speakers and Robots
AI 스피커 및 로봇을 위한 소리 위치 추적 기술 · Speakers: Sung-Eui Yoon, Inkyu An, Taeyoung Kim
Teaching Assistant — Senior Data Scientist Program, Samsung SDS (2019–2020)
Lecturer: Sung-Eui Yoon · Topic: Machine Learning (Tree Models and Recommendation)
