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

• Ph.D. Candidate in Mechanical Engineering (Adviser: Prof. Seungchul Lee), Sep. 2019 ~ Present

• Ajou University, Suwon, South Korea

  • • B.S. in Mechanical Engineering, 2016

Visiting Scholar, Oct. 2021 ~ present

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

Visiting Scholar (Government Scholarship), Jan. 2020 ~ Jul. 2020

• • Carnegie Mellon University (CMU), Pittsburgh, U.S.

• Teaching Assistant (TA), Jan. 30, 2023 ~ Feb. 1, 2023

  • LINC3.0 Workshop

Teaching Assistant (TA), Jul. 26, 2021 ~ Jul. 30, 2021

• • HuStar Workshop

Teaching Assistant (TA), Feb. 22, 2021 ~ May. 28, 2021

• • Samsung Heavy Industries Workshop

ASML Korea, Apr. 2018 ~ Jul. 2019

• • • Established EUV system in the production lines of Samsung, SK Hynix, and TSMC

    • Resolved hardware and software issues related to EUV specifications at the first-line

Mando, Sep. 2016 ~ Apr. 2018

• • • Designed a brake system by automotive design process (A-SPICE, ISO 26262)

    • Analyzed customer requirements from HKMC, Volkswagen, and Ford

    • Designed system architecture based on system requirements

    • Conducted failure mode effectiveness analysis (FMEA)

    • Defined hardware specifications (pump and hydraulic circuits)

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

• • Development of prediction and separation technologies for acoustic signals for portable monitoring

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

SK Hynix, Dec. 2020 ~ Sep. 2021

• • Development of deep learning-based wafer defect pattern early prediction algorithm

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

• • Development of fracture image virtual reduction system and circular customized fracture internal fixation metal plate

Korea Electric Power Research Institute (KEPRI), Sep. 2019 ~ May 2021

• • Development of IoT-based auxiliary device remote diagnosis support toolkit

• (Submitted) Iljoo Jeong, Injee Jung, Seungchul Lee*, 2023, "Dual-port Conditional Invertible Neural Network for Sound Intensity Compensation in Sound Source Localization,"

• Iljoo Jeong+, Hyunsuk Huh+, Injee Jung, Seungchul Lee*, 2023, "MicGraphNet: Microphone Graph Network for Cross Correlation-based Time Delay Estimation for Accurate Sound Source Localization," R&R (+ equally contributed)

• Hyunsuk Huh+, Iljoo Jeong+, Anna Lee, Seungchul Lee*, Young-Sik Shin*, 2023, "ABC-HF: Leveraging Falling Acceleration and Body Part Clustering for Physics-based Human Fall Detection with mmWave," R&R (+ equally contributed)

Inmo Yeon+, Iljoo Jeong+, Seunghcul Lee*, and Jung-Woo Choi*, "EchoScan: Scanning Complex Indoor Geometries via Acoustic Echoes," arXiv preprint arXiv:2310.11728., 2023.(+ equally contributed)

Iljoo Jeong, Hyunsuk Huh, In-Jee Jung*, and Seungchul Lee*, 2024, "Deep Learning-based Approach to Improve the Accuracy of TDOA-based Sound Source Localization," accepted for publication in the Journal of the Acoustical Society of Korea. (in Korean)

Iljoo Jeong, In-Jee Jung*, and Seungchul Lee*, 2024, "Application of Deep Learning for Accurate Source Localization using Sound Intensity Vector," accepted for publication in the Journal of the Acoustical Society of Korea. (in Korean)

Iljeok Kim, Sung Wook Kim, Jeongsan Kim, Hyunsuk Huh, Iljoo Jeong, Taegyu Choi, Jeongchan Kim, and Seungchul Lee*, 2023, "Single Domain Generalizable and Physically Interpretable Bearing Fault Diagnosis for Unseen Working Conditions," Expert Systems with Applications, https://doi.org/10.1016/j.eswa.2023.122455.

Iljoo Jeong, Soo Young Lee, Keonhyeok Park, Iljeok Kim, Hyunsuk Huh, Seungchul Lee*, 2023, "Wafer Map Failure Pattern Classification using Geometric Transformation-Invariant Convolutional Neural Network," Scientific Reports,

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

Hyeonji Kim+, Keonhyeok Park+, Jung-Min Yon+, Sung Won Kim, Soo Young Lee, Iljoo Jeong, Jinah Jang*, Seungchul Lee*, Dong-Woo Cho*, 2022, "Predicting Multipotency of Human Adult Stem Cells Derived from Various Donors through Deep Learning," Scientific Reports, (+ equally contributed)"

• Namjeong Lee, Sungmin Kim, Iljoo Jeong, Seokman Sohn, Seungchul Lee*, 2020, "Ensemble Method of Rule-Based and Deep Learning for Rotating Machine Diagnostics," The Korean Society for Noise and Vibration Engineering. [In Korean]

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.

Gyu-Hwan Lee, Iljoo Jeong, Keonhyeok Park, Kangmin Lee, Seungchul Lee, Jee Hyun Choi, Choon-Su Park, 2023, "Tracking mouse USV origins with functional beamforming on sparse arrays", 2023, The Korean Physical Society (KPS), 2023. 10. 25

Hyunsuk Huh, Jeong-Jung Kim, Iljeok Kim, Iljoo Jeong, Doo-Yeol Koh, Chang-Hyun Kim, and Seungchul Lee, 2023, "Estimation of Simulated Physical Properties of an Object using Robot with Tactile Sensors and Attention Mechanism," 20th International Conference on Ubiquitous Robots (UR), Honolulu, USA.

Iljoo Jeong, Inmo Yeon, Jung-Woo Choi, Seungchul Lee, “Deep Learning to Transform Echoes into Room Layouts for Metaverse Realization”, 2023 KSNVE, 2023. 05. 25

Inmo Yeon, Iljoo Jeong, Seungchul Lee, and Jung-Woo Choi, "DNN-Based Room Layout Estimation Method," 2023 KSNVE, 2023. 05. 25

Iljoo Jeong, Keonhyeok Park, Soo Young Lee, Injee Jung, Jiho Chang, Seungchul Lee, “Robust Sound Source Localization against Background Noise by Deep Reconstruction Method”, 2022 ICA, 2022. 10. 26

Iljoo Jeong, Injee Jung, Seungchul Lee, “Localization Error Compensation of 3D Acoustic Intensity Using Physics-Based Artificial Neural Network”, 2022 KSNVE, 2022. 05. 26

Keonhyeok Park, Soo Young Lee, Iljoo Jeong, Chunsoo Park, Hyoungjin Lee, Seungchul Lee, 2022, "Physics-based Deep Learning Approach for Acoustic Scattering Inverse Design," The Korean Society for Noise and Vibration Engineering Spring Conference.

Iljoo Jeong, Mooyeob Lee, Seungchul Lee, "Deep learning-based position-aware wafer map pattern retrieval”, 2021 KSNVE, 2021. 11. 25

Iljoo Jeong, Seungchul Lee, “Wafer Map Failure Pattern Classification Using Geometrical Transformation Invariant Convolutional Neural Network", 2021 KSME, 2021. 04. 30

Iljoo Jeong, Sungmin Kim, Namjeong Lee, Seokman Sohn, Seungchul Lee, "Rotating Machinery Diagnosis Based on Explainable Deep Learning”, 2020 KSNVE, 2020. 11. 19

Seungchul Lee, Juhyeong Jeon, Yunseob Hwang, Iljoo Jeong, Yeonjae Han, Sun Im, 2019, “Pathological Voice Diagnostics using Deep Learning,” The Korean Society for Noise and Vibration Engineering, Jeju, Korea. 2019

Seungchul Lee, Namjeong Lee, Iljoo Jeong, Sungmin Kim, Sukman Shon, 2019, “Ensemble Methods of Rule-based Expert System and Data-driven AI Model: Case Study of Rotating Machinery,” The Korean Society for Noise and Vibration Engineering, Jeju, Korea. 2019

Best paper award, “Wafer Map Failure Pattern Classification Using Geometrical Transformation Invariant Convolutional Neural Network”, KSME, 2021.04.30

The grand award, "AI Competition for Forecasting User Discomfort Triggered by System Quality Alterations" hosted by LG AI Research, 2021.03.04

• Dean's List, Ajou University, 2015

• The creative award, LINC Capstone Design Competition, 2015. 06

• The grand award, LINC Field Internship Competition, 2014. 12

• The director's award, the Comprehensive Human Resources Development Institute, 2010. 12