Keonhyeok Park
Ph.D. Candidate
Department of Mechanical Engineering
Pohang University of Science and Technology (POSTECH)
Industrial Artificial Intelligence (iAI) Lab.
Email: khpark0409@postech.ac.kr
Curriculum VItae | Google Scholar | ResearchGate | ORCID
Industrial AI ・ Deep Learning ・ Medical Diagnosis・ Acoustics ・ Non-Destructive Testing
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 ~ present
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
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.
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)
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
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)
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)
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)
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
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.
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.
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.
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.
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.
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.
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.
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*, 2023, "Survivorship after Revision Total Elbow Arthroplasty: A Systematic Review," submitted.
Keonhyeok Park+, Jun Hyeong Park+, Bumsoo Park, Hyung Jin Lee, Soo Young Lee, Iljoo Jeong, Choon-Su Park*, and Seungchul Lee*, 2023, "Deep Learning-based Image Translation for High-Quality and Fast Phased Array Ultrasonic Imaging," NDT&E International, submitted. (+ equally contributed)
In preparation
Keonhyeok Park, Soo Young Lee, Iljoo Jeong, Hyung Jin Lee, Choon-Su Park*, and Seungchul Lee*, 2023, "A Physics-informed Deep Learning Approach for Inverse Design of Acoustic Scatterer," 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