Keonhyeok Park

Education

• Pohang University of Science and Technology (POSTECH), Pohang, South Korea

  • Ph.D. Candidate in Mechanical Engineering (Adviser: Prof. Seungchul Lee), Sep. 2020 ~ Present

• Yonsei University, Seoul, South Korea

  • B.S. in Mechanical Engineering, 2020

Research Experience

• Visiting Scholar, Sep.2021 ~ Feb.2024

  • Acoustics, Ultrasound and Vibration (AUV) group, Korea Research Institute of Standards and Science (KRISS), Daejeon

• Teaching Assistant (TA), Apr.2021 ~ Apr.2021

  • POSCO Workshop

• Teaching Assistant (TA), Sep.2020 ~ Dec.2020

  • MECH199: Freshman Research Participation

• Undergraduate Research Assistant, Jan.2020 ~ Aug.2020

  • Knowledge Based Design (KBD) Lab. (Advisor: Prof. Soo-Hong Lee), Yonsei University, Seoul

Project

• Korea Research Institute of Standards and Science (KRISS), Jan.2023 ~ Dec.2025

  • Development of rsound source prediction and separation techniques for portable monitoring

• Seoul St. Mary's Hospital, The Catholic University of Korea, Jul.2021 ~ Jun.2022

  • Standardization of airway organoids using artificial intelligence for commercialization

• Korea Research Institute of Standards and Science (KRISS), Apr.2021 ~ Dec.2022

  • Development of robust high-resolution sound source localization algorithms resistant to background noise and reverberation

• Seoul St. Mary's Hospital, The Catholic University of Korea, Sep.2020 ~ Feb.2021

  • Development of artificial intelligence-based model for evaluation and characteristic analysis of functional stem cells

Journal

1. Keonhyeok Park+, Jun Hyeong Park+, Bumsoo Park, Hyung Jin Lee, Sooyoung Lee, Iljoo Jeong, Anna Lee, Choon-Su Park*, and Seungchul Lee*, 2025, "Deep Learning Framework for Image Enhancement of Phased Array Ultrasonic Imaging," accepted for the publication in Results in Engineering.

2. Iljoo Jeong, Bumsoo Park, Keonhyeok Park, Anna Lee, In-Jee Jung*, and Seungchul Lee*, 2024, "Dual-port Conditional Invertible Neural Network for Sound Intensity Compensation in Sound Source Localization," accepted for the publication in IEEE Transactions on Instrumentation and Measurement.

3. Keonhyeok Park, Choon-Su Park, Jun Hyeong Park, Hyung Jin Lee, and Seungchul Lee*, 2023, "Deep Learning-Based Conversion of Phased Array Ultrasonic Imaging using U-Net," Journal of the Korean Society for Nondestructive Testing, 43(4), pp. 285-291.

4. Mi Hyun Lim+, Seungmin Shin+, Keonhyeok Park, Jaejung Park, Sung Won Kim, Mohammed Abdullah Basurrah, Seungchul Lee*, and Do Hyun Kim*, 2023, "Deep Learning Model for Predicting Airway Organoid Differentiation," Tissue Engineering and Regenerative Medicine, https://doi.org/10.1007/s13770-023-00563-8. (+equally contributed)

5. Iljoo Jeong, Soo Young Lee, Keonhyeok Park, Iljeok Kim, Hyunsuk Huh, and Seungchul Lee*, 2023, "Wafer Map Failure Pattern Classification using Geometric Transformation-Invariant Convolutional Neural Network," Scientific Reports, https://doi.org/10.1038/s41598-023-34147-2

6. Hyeonji Kim+, Keonhyeok Park+, Jung-Min Yon+, Sung Won Kim, Soo young Lee, Iljoo Jeong, Jinah Jang*, Seungchul Lee*, and Dong-Woo Cho*, 2022, "Predicting Multipotency of Human Adult Stem Cells Derived from Various Donors through Deep Learning," Scientific Reports, https://doi.org/10.1038/s41598-022-25423-8 (+ equally contributed)

7. Gyuwon Kim+, Jung Ho Jeon+, Keonhyeok Park, Sung Won Kim, Do Hyun Kim*, and Seungchul Lee*, 2022, "High Throughput Screening of Mesenchymal Stem Cell Lines using Deep Learning," Scientific Reports, 12, 17507 (2022), https://doi.org/10.1038/s41598-022-21653-y (+ equally contributed)

8. Keonhyeok Park+, Jong Young Lee+, Soo Young Lee, Iljoo Jeong, Jin Won Kim, Sun Ah Nam, Hyung Wook Kim*, Seungchul Lee*, Yong Kyun Kim*, 2022, "Deep Learning Predicts the Differentiation of Kidney Organoids Derived from Human Induced Pluripotent Stem Cells," Kidney Research and Clinical Practice, 2022;j.krcp.22.017, https://doi.org/10.23876/j.krcp.22.017 (+ equally contributed)

9. Soo Young Lee, Choon-Su Park, Keonhyeok Park, Hyung Jin Lee*, and Seungchul Lee*, 2022, "A Physics-informed and Data-driven Deep Learning Approach for Wave Propagation and its Scattering Characteristics," Engineering with Computers, https://doi.org/10.1007/s00366-022-01640-7

Conference

1. Keonhyeok Park, Soo Young Lee, Hyung Jin Lee, Choon-Su Park, and Seungchul Lee, 2024, "Deep Learning-based Inverse Design of Acoustic Scatterer Integrating Physical Consistency", 7th International Conference on Materials and Reliability (ICMR), Busan, Korea.

2. Keonhyeok Park, Soo Young Lee, Iljoo Jeong, Hyung Jin Lee, Choon-Su Park, and Seungchul Lee, 2024, "Deep Learning-based Image-to-Image Translation for Ultrasonic Imaging Enhancement with Experimental Validation", The Korean Society for Noise and Vibration Engineering, Jeongseon, Korea.

3. Keonhyeok Park, Soo Young Lee, Hyung Jin Lee, Choon-Su Park, and Seungchul Lee, 2024, "Physics Integrated Neural Network For Design of Acoustic Scatterer", The 26th International Congress in Theoretical and Applied Mechanics (ICTAM), Daegu, Korea. 

4. Keonhyeok Park, Soo Young Lee, Hyung Jin Lee, Choon-Su Park, and Seungchul Lee, 2024, "A Physics-informed Deep Learning Approach for Inverse Design of Acoustic Scatterer", Computational Structural Engineering Institute of Korea (COSEIK) Annual Conference, Jeju, Korea.

5. Keonhyeok Park, Choon-Su Park, Jun Hyeong Park, Hyung Jin Lee, and Seungchul Lee, 2023, "Deep Learning-based Conversion for Phased Array Ultrasonic Imaging with U-Net", The Korean Society for Nondestructive Testing, Yeosu, Korea.

6. Keonhyeok Park, Soo Young Lee, Iljoo Jeong, Jun Hyung Park, Hyung Jin Lee, Choon-Su Park, and Seungchul Lee, 2023, "Deep Learning-based Image Translation for High-Quality and Fast Phased Array Ultrasonic Imaging", .IEEE International Ultrasonics Symposium (IEEE IUS 2023), Montreal, Quebec, Canada.

7. Jongmok Lee, Keonhyeok Park, Hyunjoon Chung, and Seungchul Lee, 2023, "Deep Learning-based Human Action Recognition with Exo-Suit", 20th International Conference on Ubiquitous Robots (UR), Honolulu, USA.

8. Keonhyeok Park, Soo Young Lee, Iljoo Jeong, Jun Hyeong Park, Hyung Jin Lee, Choon-Su Park, and Seungchul Lee, 2023, "Deep learning-based image translation for high-fidelity & fast ultrasonic non-destructive testing (NDT) imaging", The Korean Society for Noise and Vibration Engineering, Samcheok, Korea.

9. Iljoo Jeong, Injee Jung, Keonhyeok Park, Soo Young Lee, Jiho Chang, and Seungchul Lee, 2022, "Robust Sound Source Localization Against Background Noise By Deep Reconstruction Method," International Congress on Acoustics (ICA 2022), Gyeongju, Korea.

10. Keonhyeok Park, Soo Young Lee, Iljoo Jeong, Hyung Jin Lee, Choon-Su Park, and Seungchul Lee, 2022, "A Physics-informed Deep Learning Approach for Inverse Design of Acoustic Scatterer", The Korean Society for Noise and Vibration Engineering, Changwon, Korea.

11. Soo Young Lee, Hyung Jin Lee, Choon-Su Park, Keonhyeok Park, and Seungchul Lee, 2022, "A Physics-informed Neural Network for Wave Scattering Phenomena and its Analyses in Physical Consistency", CAE Division in the Korean Society of Mechanical Engineers, Busan, Korea.

12. Keonhyeok Park, Hyeonji Kim, Gyuwon Kim, Jinah Jang and Seungchul Lee, 2021, "Morphological Prediction of hTMSCs Lineage to Keratocyte using Deep Learning," Bio Engineering Division in the Korean Society of Mechanical Engineers, Online.

Honors and Awards

• Best presentation award, "Deep Learning-based Conversion for Phased Array Ultrasonic Imaging with U-Net", The Korean Society for Nondestructive Testing Conference 2023.

Submitted

• Ji-Ho Lee, Seungchul Lee, Keonhyeok Park, Amaleswaran Anbarasan, and Adam C. Watts*, "Survivorship after Revision Total Elbow Arthroplasty: A Systematic Review," submitted.

In preparation

• Keonhyeok Park, Soo Young Lee, Iljoo Jeong, Hyung Jin Lee, Choon-Su Park*, and Seungchul Lee*, "A Physics-informed Deep Learning Approach for Inverse Design of Acoustic Scatterer," in preparation.

• Gyu-Hwan Lee+, Keonhyeok Park+, Sehyeon Jang, Seungchul Lee*, Jee Hyun Choi*, and Choon-Su Park*, "Multimodal localization of ultrasonic vocalizations reveals hierarchy-associated vocal rate modulation in male mice," in preparation.

Patent

• Do Hyun Kim, Seungchul Lee, Sung Won Kim, Mi Hyun Lim, Keonhyeok Park and Seungmin Shin, "오가노이드 선별 장치 및 방법", PCT/KR2023/00815, PCT 특허, 2023.01.17. 출원

• 김도현, 이승철, 김성원, 임미현, 박건혁, 신승민, "오가노이드 선별 장치 및 방법", 10-2022-0022545, 대한민국, 2022.02.21. 출원