Yusun Shul 설유선

👩‍🎓 Education

KOREA ADVANCED INSTITUTE OF SCIENCE&TECHNONLOGY(KAIST)  Daejeon, Korea

• Ph.D. Candidate, School of Electrical Engineering  (Sep 2020 – Present)

Advisor: Prof. Jung-Woo Choi

Full-time Researcher at Smart Sound Systems Lab

Concentration: DNN-based Sound Event Localization and Detection/ DNN-based Anomaly Detection

YONSEI UNIVERSITY   Seoul, Korea

• M.S. in Engineering, Mechanical Engineering  (Sep 2018 - Aug 2020)

 Advisor: Prof. No-Cheol Park

 Full-time Researcher at Vibration & Opto-mechatronics Lab

 Concentration: Noise Detection / Denoising / Signal Processing

 Thesis: A Methodology for Localizing Vehicle Underbody Rattle Noise using Correlation Comparison of Denoised Signals

• B.S. in Engineering, Mechanical Engineering (Mar 2016 - Aug 2018)

HANKUK UNIVERSITY OF FOREIGN STUDIES  Seoul, Korea

• (Major) English Linguistics (Mar 2012 - Aug 2015)

• (Double major) Business Administration 

DAEJEON FOREIGN LANGUAGE HIGH SCHOOL  Daejeon, Korea

• English Major      (Mar 2008 - Feb 2011)

📜 Publications

International Journals [J] & Conference Papers [C]

1. [C] Y. Shul, J.-W. Choi, CST-FORMER: Transformer with Channel-Spectro-Temporal Attention for Sound Event Localization and Detection, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, April, 2024, https://doi.org/10.1109/ICASSP48485.2024.10447181.

2.  [C] Y. Shul, J.-W. Choi, Divided spectro-temporal transformer for sound event localization and detection in real scenes, Acoustics 2023, Sydney, Australia, Dec, 2023, https://doi.org/10.1121/10.0023458.

3.  [C] Y. Shul, B.Y. Ko, J.-W. Choi,  Divided spectro-temporal attention for sound event localization and detection in real scenes for DCASE2023 challenge, Technical report, Detection and Classification of Acoustic Scenes and Events (DCASE) (2023), https://doi.org/10.48550/arXiv.2306.02591. 

4.  [J] [IF 8.4, Q1] Y. Shul, W. Yi, J. Choi, D. Kang, J.-W. Choi, Noise-based self-supervised anomaly detection in washing machines using a deep neural network with operational information, Mechanical Systems and Signal Processing. 189 (2023), ISSN 0888-3270, https://doi.org/10.1016/j.ymssp.2023.110102.

5.  [J] [IF 8.4, Q1] Y. Shul, S.B. Lim, S.M. Moon, N.-C. Park, Localization of rattle noise sources in the vehicle underbody using acceleration signals, Mechanical Systems and Signal Processing. 166 (2022), ISSN 0888-3270, https://doi.org/10.1016/j.ymssp.2021.108447.

Domestic Journal

    Y. Shul, N.C. Park, Y.G. Bae, Design and Control of Multipurpose Self-propelled Home Lifting Device, Transactions of the Korean Society for Noise and Vibration Engineering, 30(3): 239~248 (2020), ISSN 1598-2785. https://doi.org/10.5050/KSNVE.2020.30.3.239.

Conferences

1. Y. Shul, J.-W. Choi, Divided Spectral-Temporal Attention-based Sound Event Localization and Detection using Multi-Channel Array Signals, The Korean Society of Noise and Vibration Engineering, Samcheok, Korea, May, 2023.

2.  Y. Shul, D. Kang, J.-W. Choi,  DNN based Washing Machine Anomaly Detection using Operation Information, The Korean Society of Noise and Vibration Engineering, Changwon, Korea, May, 2022.

3.  Y. Shul, J. Choi, J.-W. Choi, Deep Learning based Fault Detection for Pressure Pipe Wall Thinning, The Korean Society of Noise and Vibration Engineering, Jeju, Korea, November, 2021.

4.  Y. Shul, S.B. Lim, S.M. Moon, N.-C. Park, A Methodology for Localizing Vehicle Underbody Rattle Noise using Correlation Comparison of Rattle Signals, The Korean Society of Automotive Engineers, Samcheok, Korea, July, 2020.

5.  Y. Shul, S.B. Lim, S.M. Moon, N.-C. Park, Detection and Extraction of Rattle Signals from Vehicle Underbody using Machine Learning, The Korean Society of Noise and Vibration Engineering, Jeju, Korea, June, 2020.

6. Y. Shul, S.B. Lim, J.S. Yoo, S.M. Moon, N.-C. Park, Research on Denoising Preprocessing for Rattle Signal Analysis, The Korean Society of Mechanical Engineering, Jeju, Korea, November, 2019.

7. Y. Shul, N.-C. Park, Y.G. Bae, Design and Control of Home Lifting Device Enabling Joint Exercise, The Korean Society of Noise and Vibration Engineering, Jeju, Korea, October, 2019.

8. Y. Shul, N.-C. Park, Denoising Preprocess with Discrete Wavelet Transform to Detect Noise Source of Underbody Rattle, US Korea Conference, Chicago, USA, August, 2019.

 📒 Patent

Dongsoo KANG, Hyunseok SEO, Jungwoo CHOI, Yusun SHUL (2023.02.06). Clothes Handling Device. PCT/KR2023/001673.

👔 Research Projects

•  Development of Open XR platform for high immersive collaboration
  -  National Research Council of Science & Technology (NST)             [Sep 2021- Jan 2024]

-  Roles: Designing DNN-based Sound Event Localization and Detection for AR/VR application

  -  Tools: Python(PyTorch)

• Identification of Drones in Marine Detection Environment

-  LIG Nex1  [Dec 2022- Nov 2023]

-  Role:  Designing DNN model for identification of drone and bird

   - Tools: Python(PyTorch)

•  Deep learning-based washing machine audio anomaly detection

-  LG Electronics  [Mar 2021-Oct 2021]

  -  Roles:    Developed anomaly detection and fault type classification method

  - Tools: Python(TensorFlow), MATLAB

•   Deep learning-based intellectual fault type detection and prediction on nuclear reactor pressure system 

- Korea Atomic Energy Research Institute (KAERI)   [Sep 2020 – Jan 2021]

 -  Role:      Developed fault type classification method

 -  Tools: Python(TensorFlow), MATLAB

• Detecting Noise Source of Underbody Rattle
  - Hyundai Motors  [Mar 2019 – Mar 2020]

  -  Roles: Contrived rattle noise source localization methodology for vehicle underbody by denoising with Discrete Wavelet Transform and Signal detection with a machine learning algorithm

  -  Tools: MATLAB, LMS, ANSYS

• Home Lifting Device Design and Control
  -  Auracare  [Oct 2018 – Apr 2019]

  -  Role: Motion Control and Vibration Control

  -  Tool: DSP

📝Teaching Assistantships

KOREA ADVANCED INSTITUTE OF SCIENCE&TECHNONLOGY(KAIST)

• Signals and Systems (Fall, 2020),

• Basics of Artificial Intelligence<Big data analysis and machine learning> (Spring, 2021)

YONSEI UNIVERSITY

• • Mechanics of Vibration (Fall, 2018),

  • Fluid Mechanics (Spring & Fall, 2019 / Spring, 2020)

🎉Honors and Awards

• Best Presentation Award - The Korean Society of Noise and Vibration Engineering (Nov 3rd 2022)

• Best Paper Award - The Korean Society of Noise and Vibration Engineering ( Nov 25th 2021)

• Best Paper Award - Hyundai Motors     (Nov 2020)

• Honors - Yonsei University (Aug 31st 2017 )

💻Skills

• • Programming Languages

 - Python (Advanced), MATLAB (Advanced)

• • Programs

 - ANSYS(Intermediate), Creo(Intermediate), DSP(Elementary), LMS(Intermediate)

• • Language Skills
    - Korean (Native),  English (OPIc: AL – 2023.10.02 / TOEFL: 108 - expired),  French (Elementary)