2021


[12/29/21] KRISS-POSTECH Joint Workshop

[12/27/21] iAI Year-End-Review

  • Appreciate all your great works, achievements and efforts for continuous improvement

[December 2021] Two iAI students successfully defend the MS dissertation. Congrats !!!

  • Gyuwon Kim: Deep Learning Methods to Enhance the Temporal Resolution in Functional Biomedical Imaging

  • Eonho Im: Robust Machine Learning Method for Surface Crack Prediction of Continuous Casting Steel

[12/13/21] 새내기연구참여 수업 시연행사

[12/10/21] Prof. Seungchul Lee gives a talk entitled "AI Meets Physics: Physics-informed NN and Data-driven Scientific Discovery" at the Symposium on AI for Mechanical Engineering, GIST. [YouTube]

[12/08/21] 이승철 교수는 한국트라이볼로지학회 산학강좌에서 "인공지능 기반 상태감시 및 진단에 대한 고찰" 제목으로 세미나 발표.

[12/06/21] 이수영 학생은 글로벌 핵심인재 양성지원 사업 우수성과 공모전에 대상 수상.

[12/02/21 ~ 12/03/21] 동국대 홍성호 교수님과 이승철 교수가 2021년도 설비진단기술강습회를 준비합니다.

[11/25/21] 이승철 교수는 2021년도 한국소음진동공학회 'KTM테크놀로지(주) 학술상' 을 수상

[11/25/21] 이수영 학생은 2021년도 한국소음진동공학회 학생우수발표상을 수상

[11/24/21 ~ 11/26/21] iAI attends the KSNVE conference at Jeju, Korea.

  • Prof. Seungchul Lee: Deep Learning-based Sound Source Localization and its Applications

  • Soo Young Lee: Deep Learning for Simulating the Wave Propagation and its Scattering Physics

  • Iljoo Jeong: Wafer Failure Map Retrieval using Multiple Global Descriptors

  • Taewan Kim: Unsupervised Fault Clustering Method using Adversarial Autoencoder and Gaussian Mixture Model

  • Jeongsan Kim: Anomaly Detection in Planetary Gear via Generative Deep Learning Model using Short Time Fourier Transformation with Order Representation

[11/19/21] 이승철 교수는 경북지역 에너지 클러스터 인재양성 사업 단기강좌에 "딥러닝 기반 풍력터빈 기어박스 상태 진단" 을 경주에서 발표.

[11/17/21] Prof. Hyungmin Jun from Jeonbuk National University gives a talk entitled "Self-assembled DNA Nanomaterials with Designable Structures and Functions" at POSTECH ME seminar (hosted by Prof. Seungchul Lee)

[11/12/21] Prof. Seungchul Lee gives a talk entitled "AI Meets Physics vs. Physics Meets AI" at RIST (Research Institute of Industrial Science & Technology), Pohang.

[11/08/21] 이승철 교수는 '산업 인공지능과 영상기반 작업자 인지 기술' 제목으로 한국생산기술연구원 대경지역 첨단메카트로닉스연구그룹에서 세미나 발표.

[11/05/21] iAI lab and SDDO lab (by Prof. Hyunseok Oh) hold a joint workshop for research collaboration at Gwangju.

[11/03/21 ~ 11/05/21] iAI attends the KSME conference at Gwangju, Korea.

  • Prof. Seungchul Lee: Recent Trends in Physics-informed Deep Learning

  • Juwon Na: Weakly Supervised Microstructure Segmentation via Scribble Annotations

  • Jongmok Lee: Deep Learning-based Human Action Recognition in Real-Time to Prevent Industrial Workplace Accident

[11/04/21] iAI (deep learning-based sound source localization) is awarded for the Top 10 Mechanical Technologies of 2021.

[11/03/21] Prof. Seungchul Lee organizes the special session at the conference of the Korean Society of Mechanical Engineering on behalf of the AI ME group.

[11/02/21] 이승철 교수는 2021년 2학기 기계공학과 학과입문 수업에 '인공지능이 기계와 상관있어?" 라는 주제로 강의

[11/01/21] 김희창 졸업생이 포항에 방문하여 세미나 진행

[10/29/21] Prof. Seungchul Lee gives a talk entitled "Industrial AI: Manufacturing, Materials, and Healthcare" at Sungkyunkwan University at Suwon, Korea.

[10/25/21] Prof. Seungchul Lee gives a talk at 2021 Korea Supercomputing Conference.

[10/20/21 ~ 10/22/21] Juwon Na attends the conference of the Korean Institute of Metals and Materials, Jeju, Korea.

  • Deep Learning-based Grain Boundary Detection on Polycrystalline Materials in an Unsupervised Manner

  • Weakly Supervised Microstructure Segmentation via Scribble Annotations (Best Paper Award)

[10/15/21] Prof. Seungchul Lee gives a talk entitled "Key to the Success of Industrial AI" at the POSCO FORUM at Seoul, Korea.

[10/12/21] iAI members (Soo Young Lee, Keonhyeok Park, and Iljoo Jeong) work at the Korea Research Institute of Standards and Science (KRISS) as visiting researchers.

[10/08/21] Prof. Sangkee Min from the University of Wisconsin gives a talk entitled "Detection of Process Variation in a Cold Forging Process through Smart Manufacturing" at POSTECH ME Short Course Series: International Scholar Lecture (hosted by Prof. Seungchul Lee)

[10/07/21] Prof. Seungchul Lee gives a talk at Tech Forum of Hyundai Motor Company.

[10/01/21] 이승철 교수는 대한기계학회 포항지회 세미나에서 "스마트공장 관전 포인트: 산업 인공지능" 주제로 발표

[09/29/21] Prof. Gi-Dong Sim from KAIST gives a talk entitled "Understanding the Mechanical Behavior of Small‐scale Materials: Small for the sake of Big" at POSTECH ME seminar (hosted by Prof. Seungchul Lee)

[09/28/21] Prof. Seungchul Lee gives an online seminar talk entitled "Industrial AI: Manufacturing, Materials and Healthcare" at SUNY Korea.

[09/27/21] The Apple Manufacturing R&D Accelerator at POSTECH will serve Korea's Small-to-Medium Enterprises (SMEs) helping to advance their manufacturing capabilities. Prof. Seungchul Lee heavily involves in establishing and operating the Apple manufacturing R&D accelerator.

[09/16/21] Prof. Seungchul Lee gives a talk entitled "Deep Learning Approaches for Sound Visualization and its Applications" at SNU ME seminar (hosted by Prof. Sung-Hoon Ahn)

[09/15/21] Prof. Sang Yup Kim from Sogang University gives a talk entitled "Robotic Materials for Intelligent Mechanical Systems" at POSTECH ME seminar (hosted by Prof. Seungchul Lee)

[09/08/21] iAI lab is featured in labcumentary by Donga science.

[09/08/21 ~ 09/10/21] iAI attends the conference of PHM Korea 2021 at Jeju, Korea.

  • Prof. Seungchul Lee: Current PHM Trend and its Future Direction in Heavy Earthmoving Machinery

  • Sung Wook Kim: A Novel Physics-infused Data-driven Prognostics Approach for Health Monitoring of Lithium-ion Batteries

[09/08/21 ~ 09/10/21] iAI attends the Asia Pacific Conference of the Prognostics and Health Management Society 2021 (PHMAP 2021) at Jeju, Korea.

  • Taewan Kim: Deep Learning-based Bearing Health Indicator Construction using Bayes's Theorem

  • Sung Wook Kim: A Novel Physics-Infused Recurrent Neural Network for Health Monitoring of Lithium-Ion Batteries

  • Soo Young Lee: Point-level Deep Learning Approach for 3D Sound Source Localization in Spherical Microphone Array

  • Iljeok Kim: A Novel Interpretable and Generalized Learning Method for Bearing Fault Diagnosis

[09/03/21] Prof. Seungchul Lee and Prof. Hyunseok Oh organize the half-day online workshop for the reliability division of KSME.

[08/31/21 ~ 09/27/21] Prof. Seungchul Lee gives an AI tutorial to POSCO.

[08/19/21] Bumsoo Park from Rensselaer Polytechnic Institute (RPI) gives a talk entitled "Reinforcement Learning for Control of Passive Heating and Cooling in Buildings" at the iAI Lab. seminar (hosted by Prof. Seungchul Lee)

[08/18/21 ~ 08/24/21] Prof. Seungchul Lee organizes the online AI boot camp on behalf of the Korean Society of Mechanical Engineering.

2021년 대한기계학회 인공지능머신연구회 여름학교

  • 개최일자: 2021년 8월 18일 (화) ~ 24일 (화)

  • 개최장소: 온라인 강연 (발표자료 및 실습 코드 제공)


1강: 기계학습 (오현석 교수, 광주과학기술원)

  • Optimization, Linear algebra, Regression, Logistic regression, SVM, Clustering

2강: 딥러닝 초급 (오기용 교수, 한양대학교)

  • ANN, CNN, CAM, FCN, RNN, LSTM

3강: 딥러닝 중급 (강남우 교수, 한국과학기술원)

  • Probability, PCA, Autoencoder, VAE, GAN

4강: 인공지능 응용 사례

  • 응용 01: 항공기 엔진 데이터를 이용한 건전성 예지 (최주호 교수, 한국항공대학교)

  • 응용 02: 딥러닝을 이용한 결함 검출 (정승현 박사, 한국생산기술연구원)

  • 응용 03: 다물체동역학의 실시간 응답 추정을 위한 DNN 기반 메타모델링 (김진균 교수, 경희대학교)

  • 응용 04: 인공지능 기반 금속 제조 공정 및 소재 개발 (정임두 교수, 울산과학기술원)

  • 응용 05: 인공지능을 활용한 재료 개발 혁신 (민경민 교수, 숭실대학교)

  • 응용 06: 소재 분석 및 설계 (이동우 교수, 성균관대학교)

  • 응용 07: 재료 미세구조 사진, 더 깨끗하고 선명하게 (이승철 교수, 포항공과대학교)

  • 응용 08: 에너지분야 AI 적용 현황 (이제현 박사, 한국에너지기술연구원)

  • 응용 09: Human-machine interface를 위한 생체신호 분석 (남우철 교수, 중앙대학교)

  • 응용 10: 강화학습을 이용한 보행로봇제어 (황보제민 교수, 한국과학기술원)

  • 응용 11: 인공지능의 자율주행 제어기술 적용 (신동훈 교수, 숙명여자대학교)

  • 응용 12: 학습기반 비행체 유도제어 응용 (이창훈 교수, 한국과학기술원)

[08/18/21] 대한금속재료학회 인공지능 강습회: 중급

[08/12/21] Iljoo Jeong successfully passes the Ph.D. oral preliminary exam. Congrats !!!

  • Realization of Industrial AI via Invariant Representation Learning

[08/04/21] The work on AI sound source localization technology is featured at BizTech KOREA [Lab_Tube] in Arirang TV.

[07/23/21] 21년도 두산인프라코어 PHM 자문단 1차 기술자문회를 온라인으로 진행

[07/16/21] 한국기계연구원 시스템다이나믹스연구실 연구 성과 공유

[07/15/21] iAI member (Jongmok Lee) attends the conference of KOSOS (the Korean Society of Safety) at Yeosu, Korea.

[07/09/21] 이승철 교수는 '산업에 적용 가능한 인공지능 기술: 제조, 재료, 의료 사례 중심으로' 주제로 포항강소특구 특강 진행.

[06/30/21] 대한금속재료학회 인공지능 강습회: 초급

[June 2021] Two iAI students successfully defend the MS dissertation. Congrats !!!

  • Changyun Choi: Directed Graph Based Refinement of 3D Human Motion Data using Spatial-Temporal Information

  • Jongwhan Lee: Deep Learning-based Analysis on Physical Factors of Bar Warping in Rolling Process

[06/18/21] iAI lab is filmed for labcumentary and it will be on air soon.

[06/04/21] Prof. Seungchul Lee gives an invited talk entitled "Industrial AI" at the online conference of the Korean Society of Laser Processing.

[05/27/21 ~ 05/28/21] iAI lab members attend the KSNVE (the Korean Society for Noise and Vibration Engineering) conference at Pyeongchang, Korea.

[05/26/21] Prof. Ki-Yong Oh from Chung-Ang University gives a talk at the POSTECH ME department seminar (hosted by Prof. Seungchul Lee)

[05/14/21] Prof. Seungchul Lee gives a tutorial on 'Industrial AI' at the Korean Society for PHM at Seoul, Korea.

[05/14/21] The best paper (Gyuwon Kim) is awarded at the Korean Society of Medical & Biological Engineering.

[05/13/21] 박사후보심사와 박사자격시험을 통과한 학생들이 학과에서 명함과 체육복을 포상으로 받았습니다. 축하합니다.

[05/10/21 ~ 12/31/21] iAI member (Sung Wook Kim) visits the Chung-Ang University for collaboration.

[05/03/21] Yunseob's paper was selected as the front cover of the Volume 33, Issue 4 of Digestive Endoscopy.

Yunseob Hwang+, Han Hee Lee+, Chunghyun Park, Bayu Adhi Tama, Jin Su Kim, Dae Young Cheung, Woo Chul Chung, Young-Seok Cho, Kang-Moon Lee, Myung-Gyu Choi, Seungchul Lee*, and Bo-In Lee*, 2021, “Improved Classification and Localization Approach to Small Bowel Capsule Endoscopy Using Convolutional Neural Network,” Digestive Endoscopy, 33, pp. 598-607, https://doi.org/10.1111/den.13787. (+ equally contributed)

[04/30/21] The best paper (Iljoo Jeong) is awarded at the KSME conference of the reliability engineering division at Jeju, Korea.

[04/30/21] Prof. Seungchul Lee gives a tutorial on 'AI for reliability' at the KSME conference of the reliability engineering division at Jeju, Korea.

[04/29/21] iAI lab members attend the KSME conference of the reliability engineering division at Jeju, Korea.

[04/26/21] 이승철 교수는 포항공대 융합대학원 런치타임 세미나에서 "인공지능을 바라보는 공학자의 (수준 낮은) 철학적 고민" 주제로 발표했습니다.

[04/15/21 ~ 04/16/21] iAI attends the KSME online conference of the bio-engineering division.

  • Gyuwon Kim: Integrated Deep Learning Framework for Accelerated Optical Coherence Tomography Angiography

  • Keonhyeok Park: Morphological Prediction of hTMSCs Lineage to Keratocyte using Deep Learning

[04/05/21 ~ 04/29/21] Prof. Seungchul Lee gives an AI tutorial to POSCO.

[03/26/21] iAI lab members and cherry blossom at the POSTECH campus

[02/18/21] 연구 성과 홍보 (신문지면기사): 수술 부작용 확률 예측, 신속한 내시경 판독... '열 일'하는 AI

[02/23/21 ~ 02/28/21] Prof. Seungchul Lee organizes the online AI tutorial on behalf of the Korean Society of Mechanical Engineering.

[02/10/21] The best paper (Sung Wook Kim) is awarded at the KSNVE conference.

[02/06/21] Prof. Seungchul Lee on behalf of KSME opens up the website of AI + ME.

[02/05/21] iAI lab group picture at the commencement

[01/22/21] Prof. Seungchul Lee gives an invited talk entitled “Industrial AI for Manufacturing” at the (Virtual) Industrial AI Concert.

[January 2021] Four iAI students successfully pass the Ph.D. oral preliminary exam. Congrats !!!

  • Soo Young Lee: 3D Representation Deep Learning and its Applications in Mechanical Engineering

  • Juhyeong Jeon: Real-time Biosignal Analysis with Interpretable Artificial Intelligence

  • Hyunsuk Huh: Solving Inverse Problem of Mechanical Engineering by using AI

  • Juwon Na: Deep Learning-based Process Optimization of Metallic Materials

[January 2021] Three iAI students successfully defend the MS dissertation. Congrats !!!

  • Namjeong Lee: Fault Diagnostics for Rotating Machinery using Deep Learning: Ensemble Model of Frequency Spectrum, Spectrogram, and Orbit

  • Kangsan Lee: Deep Learning-based Object Tracking in Soccer Data

  • Yunseob Hwang: Convolutional Neural Network Based Small Bowel Lesion Detection in Capsule Endoscopy

[01/18/21 ~ 02/19/21] iAI member (Sooyoung Lee) visits the Korea Research Institute of Standards and Science (KRISS) for collaboration.