News

2024

[1/19/24] Sooyoung Lee gives a seminar talk entitled "My Academic Journey from Graduate Student to Incoming Professor" at Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST).

• 초록: 본 세미나는 그간 박사과정 동안의 연구 경험과 그 과정에서 얻은 교훈, 나아가 박사후연구원 및 교수 지원 과정에 대한 실질적인 조언을 드리고자 기획되었습니다. 먼저, 대학원생으로서 연구 계획 수립부터 결과 도출까지의 과정과 그 속에서 경험한 도전 및 성공 사례들을 소개합니다. 또한, 학위 과정을 마치고 박사후연구원 및 교수직의 진로를 위한 준비 과정, 지원 전략 등 전반적인 경험에 대해 공유하고자 합니다. 향후 본인의 연구 분야를 설정하고 학문적 커리어를 발전시켜 나가는 데 있어 통찰력을 얻을 수 있는 기회가 되길 바랍니다.

[1/15/24] Sooyoung Lee gives a seminar talk entitled "AI+Engineering and its Industrial Applications" at School of Mechanical Engineering, Chung-Ang University.

2023

[10/13/23] Sooyoung Lee gives a seminar talk entitled "Physics-guided Machine Learning Approaches for Accelerated Design and Enhanced Informatics" at Gwangju Institute of Science and Technology (GIST).

[05/02/23 ~ 06/22/23] Sooyoung Lee gives teaching tutorials on Advanced Machine Learning and Deep Learning for Samsung Heavy Industries.

[03/29/23] Sooyoung Lee successfully completes the doctoral dissertation defense !!!

I would like to express my sincere gratitude to my academic advisor, Prof. Seungchul Lee, for his continuous support and my dissertation committee members, Prof. Junsuk Rho, Prof. Chulhong Kim, Prof. Seunghwa Ryu, and Dr. Jiho Chang, who provided valuable and constructive advice to this work.

• Dissertation title: Towards Deep Learning-enabled Engineering for Expedited Understanding and Mitigation of Physical Phenomena

[02/22/23] Sooyoung Lee gives a seminar talk entitled "Strategies for Deep Learning-driven Studies in Engineering Fields" at Korea Research Institute of Chemical Technology (KRICT).

[02/14/23] My research 'AI-enabled 3D volumetric photoacoustic imaging' has been covered by media outlets.

인공지능으로 3차원 소동물 전신 광음향 컴퓨터 단층촬영...더 빠르고 선명하게 혈관 찍는다' [인공지능신문] [동아사이언스] [전자신문] [경북매일] [대덕넷] 

2022

[12/28/22] iAI Year-end Review

[12/26/22] POSTECH-KAIST-KRISS Joint Workshop for year-end research review and new year's collaboration.

[12/13/22] My work "Deep Learning-based Method for Multiple Sound Source Localization with High Resolution and Accuracy" was awarded for the Best Paper Award (3rd place) from the Department of Mechanical Engineering at Pohang University of Science and Technology (POSTECH).

[12/04/22] A research paper entitled "Deep Learning-based Prediction and Interpretability of Physical Phenomena for Metaporous Materials" has been accepted for publication in Materials Today Physics.

[12/01/22] My research "Deep Learning Enhances Multiparametric Dynamic Volumetric Photoacoustic Computed Tomography in Vivo (DL-PACT)" has been featured as the back cover of Advanced Science.

[11/03/22] I give my research presentation entitled "Deep Learning-enabled Acoustic Cryptography" in the Fall Annual Conference of KSNVE 2022 at Jeju, Korea. 

[10/26/22] I give my research presentation entitled "Non-contact Boundary Condition Quantification using Data-driven Beamforming Approach" in the 24th International Congress on Acoustics (ICA) at Gyeongju, Korea. 

[10/18/22] A research paper entitled "Deep Learning Enhances Multiparametric Dynamic Volumetric Photoacoustic Computed Tomography in Vivo (DL-PACT)" has been accepted for publication in Advanced Science.

[08/08/22] I attend the 'AI and Sound Visualization' seminar hosted by the Korean Society for Noise and Vibration Engineering.

[06/13/22] My research 'Physics-informed AI for wave scattering phenoemena' has been covered by various media outlets.

물리 이론 학습하는 인공지능 개발, 응용문제도 '척척' [헤럴드경제] [연합뉴스] [인공지능신문] [디지털타임스] [뉴스1] [아이뉴스24] [경북일보] [전자신문] [신소재경제신문] [대경일보] [워크투데이] [충청뉴스] [대덕넷] [CBS] [뉴시스] [베리타스알파]

[05/25/22 ~ 05/27/22] I will be giving my research presentation entitled "Deep Learning-based Prediction and Interpretation of Sound Absorption for Metaporous Materials" in the Spring Annual Conference of KSNVE 2022 at Changwon, Korea. 

[05/25/22] I was selected as a recipient of the POSTECHIAN Fellowship, supported by the Education Program for Frontier Leadership in Advanced Machinery Technology, Pohang University of Science and Technology (POSTECH). I will be conducting various studies related to the 'AI-based Recognition for Acoustic Digital Twin'.

[05/19/22 ~ 05/20/22] I give my research presentation entitled "A Physics-informed Neural Network for Wave Scattering Phenomena and its Analyses in Physical Consistency" in the KSME conference of the CAE and Applied Mechanics division at Busan, Korea.

[05/09/22] A review paper entitled "A Systematic Mapping Study and Empirical Comparison of Data-driven Intrusion Detection Techniques in Industrial Control Networks" has been accepted for publication in Archives of Computational Methods in Engineering.

[05/02/22] A research paper entitled "Deep Learning Predicts the Differentiation of Kidney Organoids derived from Human Induced Pluripotent Stem Cells" has been accepted for publication in Kidney Research and Clinical Practice.

[04/27/22] A research paper entitled "Point-level Deep Learning Approach for 3D Acoustic Source Localization" has been accepted for publication in Smart Structures and Systems.

[03/10/22] A research paper entitled "Deep Learning-enabled High-resolution and Fast Sound Source Localization in Spherical Microphone Array System" has been accepted for publication in IEEE Transactions on Instrumentation & Measurement.

[03/02/22] A research paper entitled "A Physics-informed and Data-driven Deep Learning Approach for Wave Propagation and its Scattering Characteristics" has been accepted for publication in Engineering with Computers.

2021

[12/29/21] KRISS-POSTECH Joint Workshop for year-end research review and new year's collaboration.

[12/06/21] I won the Best Research Achievement Grand Prize of the High-Potential Individuals Global Training Program (글로벌 핵심인재 양성 우수성과 대상), supported by the Institute for Information and Communications Technology Planning & Evaluation (IITP)  for the international joint research with the University of Wisconsin-Madison on the Sustainable Smart Manufacturing using IIoT and AI.

[11/25/21] My work on "Super-resolved Sound Source Localization via Deep Learning" is awarded for the Best Presentation Award at the KSNVE (Korean Society for Noise and Vibration Engineering) conference.

[11/24/21] I presented my work "Physics-informed Neural Networks for Wave Propagation and Scattering Characteristics" at the KSNVE (Korean Society for Noise and Vibration Engineering) conference.

[11/05/21] I presented my research "AI-aided Acoustics, Ultrasound and Vibration" at a joint workshop of iAI lab, POSTECH and SDDO lab,  GIST. 

[11/04/21] My work on AI-based sound source localization is awarded for the Top 10 Mechanical Technologies of 2021 !!! I appreciate all the support and encouragement that I have received.

[10/01/21] Acoustics, Ultrasound and Vibration (AUV) group in iAI lab. is now teamed up with Sooyoung Lee (Leader), Keonhyeok Park, and Iljoo Jeong. We will conduct extensive research on related fields, in close collaboration with the Korea Research Institute of Standards and Science (KRISS) and under supervision of Prof. Seungchul Lee.

[08/27/21] My work on AI-based sound source localization was nominated as a candidate for the Top 10 Mechanical Technologies of 2021.

[08/17/21] iAI (AI-based sound source localization) applies for the Top 10 Mechanical Technologies of 2021. 

[07/12/21] My work has been introduced in a newspaper science column.

"골든타임 단축하는 첨단 기술들" [전자신문]

[06/17/21] My research has been covered in a range of popular press outlets.

"살려주세요" 산속 조난 위치 소리로 찾는다 [KBS] [TJB] [헤럴드경제] [경향신문] [연합뉴스] [서울경제] [파이낸셜뉴스] [아시아경제] [아이뉴스24] [전자신문] [디지털타임스] [한국경제TV] [뉴스핌] [뉴스1] [뉴시스] [머니투데이] [YTN] [YTN사이언스] [매일신문] 

[05/28/21] I attended the KSNVE (Korean Society for Noise and Vibration Engineering) conference at Pyeongchang, Korea. I presented my work "Super-resolved Sound Source Localization via Deep Learning". 

[04/08/21 ~ 05/03/21] Sooyoung Lee gives one-month hands-on tutorials on Deep Learning and its Industrial Applications for Samsung Heavy Industries.

[03/31/21] A research paper entitled "Deep Learning-based Multiple Sound Source Localization with High Resolution and Accuracy" has been accepted for publication in Mechanical Systems and Signal Processing.

[03/03/21] I joined Acoustics, Ultrasound, and Vibration Research Group in Korea Research Institute of Standards and Science (KRISS) as a Guest Researcher.

[01/13/21] I have passed the Ph.D. oral preliminary exam! My research proposal was about "3D Representation Deep Learning and its Applications in Mechanical Engineering".

[01/16/21] A research paper entitled "Applications of Deep Learning for Fault Detection in Industrial Cold Forging" has been accepted for publication in International Journal of Production Research.

[01/13/21] I have passed the Ph.D. oral preliminary exam! My research proposal was about "3D Representation Deep Learning and its Applications in Mechanical Engineering".

[01/10/21] A research paper entitled "Deep Learning-based Estimation of the Unknown Road Profile and State Variables for the Vehicle Suspension System" has been accepted for publication in IEEE Access.

2020

[11/20/20] I attended the KSNVE (the Korean Society for Noise and Vibration Engineering) conference at Jeju, Korea. I presented my work "Deep Learning-based Methods for Establishing Multiple Sound Source Maps and Predicting Them with High Resolution and Accuracy". 

[11/10/20] My work has been featured in several newspaper articles.

AI로 '고엔트로피 합금' 개발 시간·비용 줄인다! [헤럴드경제] [동아사이언스] [뉴시스] [뉴데일리] [매일경제] [경북신문] [전자신문]

[10/23/20] A research paper entitled "Deep Learning-based Phase Prediction of High-entropy Alloys: Optimization, Generation, and Explanation" has been accepted for publication in Materials & Design.

[08/23/20] I presented my work "Acoustic Source Localization for a Single Point Source using Convolutional Neural Network and Weighted Frequency Loss" at Inter-Noise20 (Virtual). 

[08/10/20 ~ 08/14/20] Sooyoung Lee gives one-week AI tutorials for the Department of IT Convergence, University of Ulsan.

[07/16/20] I received the Best Paper Award at the reliability division of the KSME (Korean Society of Mechanical Engineers) with my work "Data Preprocessing and Machine Learning Techniques for Detection and Classification of Bearing Faults".

[07/13/20]A research paper entitled "Vision-based Fault Diagnostics using Explainable Deep Learning with Class Activation Map" has been accepted for publication in IEEE Access.

[02/25/20] I visit the University of Wisconsin-Madison for 6 months as a Visiting Research Fellow. I will work with Prof. Sangkee Min for Sustainable Smart Manufacturing using IIoT and Artificial Intelligence. This international joint research is supported by the High-Potential Individiduals Global Training Program of Institute for Information and Communications Technology Planning & Evaluation (IITP).

[01/21/20] A research paper entitled "Spatial and Sequential Deep Learning Approach for Predicting Temperature Distribution in a Steel-making Continuous Casting Process" has been accepted for publication in IEEE Access.

[01/06/20 ~ 01/10/20] Sooyoung Lee gives teaching tutorials on Introduction to Machine Learning and Deep Learning for the Department of Mechanical Engineering, Dong-A University. 

2019

[12/06/19]A research paper entitled "Steel Surface Defect Diagnostics using Deep Convolutional Neural Network and Class Activation Map" has been accepted for publication in Applied Sciences.

[11/27/19] I attended the 5th International Conference on Materials and Reliability (ICMR) at Jeju, Korea. I presented my work "Steel Surface Defect Diagnostics using Machine Learning and Deep Learning". 

[11/13/19] I attended the KSME (Korean Society of Mechanical Engineers) conference at Jeju, Korea. I gave my research presentations on the following topics.

• Data Preprocessing and Machine Learning Techniques for Detection and Classification of Bearing Faults

• Transfer Learning for Enhancing Bearing Fault Detection Performance under Time-varying Speed

[10/27/19 ~ 11/02/19] I attended the International Conference on Computer Vision (ICCV) 2019 at Seoul, Korea.

[04/24/19 ~ 04/30/19] Sooyoung Lee gives teaching tutorials on Intensive Program for Machine Learning Champion in SK hynix.