[08/23/20~08/26/20] Prof. Seungchul Lee is one of organizing committee for inter-noise 2020 (the 49th International Congress and Exposition on Noise Control Engineering) at Seoul, Korea.
– Responsible for proceeding and web
– Short course on “Deep Learning for Noise/Vibration Engineering
– Session co-organizer with Dr. Christian Adams and Prof. Kian K. Sepahvand for “Artificial Intelligence for Noise/Vibration Engineering

[07/01/20 ~ 07/02/20] Prof. Seungchul Lee gives the two-day AI tutorial at the Korean Institute of Metals and Materials.

[06/04/20] Prof. Seungchul Lee gives a tutorial entitled “Deep Learning for Noise and Vibration Engineering” at KSNVE e-conference.

[05/29/20] iAI lab outing:

[04/29/20] Prof. Seungchul Lee gives a seminar talk entitled “Latest Researches in industrial AI Lab, POSTECH” at ME Department, POSTECH.

[02/25/20] Two iAI members (Yunseob Hwang and Sooyoung Lee) visit the University of Wisconsin-Madison for 6 months as exchange students. They will work with Prof. Sangkee Min. This international research collaboration opportunity is supported by the High-Potential Individuals Global Training Program of Institute for Information and Communications Technology Planning & Evaluation (IITP) under Grand 2019-0-01589.

[02/12/20 ~ 02/14/20] Prof. Seungchul Lee organizes the three-day AI tutorial on behalf of the Korean Society of Mechanical Engineering (canceled due to the novel coronavirus).

[02/19/20] Two best papers are awarded at KSNVE.

[02/05/20] Prof. Seungchul Lee participates in the MOU signing ceremony between the POSTECH Graduate School of Artificial Intelligence and the Catholic University of Korea Seoul St. Mary’s Hospital.

[01/21/20] Prof. Seungchul Lee organizes the half-day symposium titled “AI for noise/vibration engineering” on behalf of the Korean Society of Noise and Vibration Engineering.

[01/07/20] iAI graduate students give the AI tutorial to Samsung Heavy Industries Pangyo R&D Center.

[01/06/20 ~ 01/10/20] iAI graduate students give the one-week AI tutorial to Dong-A university.

[01/06/20] Two iAI members (Sung Wook Kim and Il-joo Jeong) are selected to the global intensive AI education program for 6 months at Carnegie Mellon University, USA (2020.01-2020.06). This program is supported by Institute of Information and Communications Technology Planning & Evaluation (IITP) (media).

[12/13/19] Prof. Seungchul Lee gives the four-hour AI tutorial on RNN and DQN at the Korea Institute of Machinery and Materials.

[12/06/19] iAI has a meeting (and dinner) with medical doctors at the College of Medicine, the Catholic University of Korea to collaboratively conduct research on medical AI applications.

[12/05/19] Dr. Konrad from the IFW Institute for Complex Materials Research Dresden, Germany visits iAI to seek for future collaboration.

[12/04/19] Prof. Seungchul Lee gives a talk to Gachon University (media).

[11/20/19] Prof. Sehoon Oh from DGIST gives a talk titled “Human Robot Interaction Design” at the ME department seminar (hosted by Prof. Seungchul Lee).

[11/13/19] iAI attends the KSME conference, Jeju, Korea.
– Deep Learning-based Anomaly Detection of Bearing Faults by Juhyeong
– Image Recognition to Digitalize Maintenance Logs: CNN and FCN by Kangsan
– Artificial Intelligence Applications to Mechanical Engineering by Prof. Seungchul Lee
– Domain Adaptation from Simulation Data to Experimental Data via Transfer Learning: Case Study on Injection Molding by Juwon
– AI-based Recommender System for Process Conditions of Injection Molding by Juwon
– Study on Localizing the Most Vibrating Regime on Images using Explainable Deep Learning by Hyunsuk
– Data Preprocessing and Machine Learning Techniques for Detection and Classification of Bearing Faults by Sooyoung
– Transfer Learning for Enhancing Bearing Fault Detection Performance under Time-varying Speed by Sooyoung
– Explainable Deep Learning-based Smart Diagnostics for Capsule Endoscopy Images by Yunseob
– Phase Analysis of Multi-phase Steel using Unsupervised Deep Learning by Sungwook

[11/01/19] Prof. Seungchul Lee gives a talk titled “AI in Medicine: What are the New Roles of Surgeon?” at the Annual Congress of Korean Surgical Society 2019 at Seoul, Korea.

[10/31/19] Prof. Seungchul Lee organizes the symposium titled “AI for Materials Science” at the Materials Research Society of Korea Conference at Samcheok, Korea.

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

[10/24/19] iAI attends the KSNVE conference at Jeju, Korea.
– Image Recognition to Digitalize Maintenance Logs: CNN and FCN by Kangsan
– Pathological Voice Diagnostics using Deep Learning by Juhyeong
– Deep Learning-based Anomaly Detection of Bearing Faults by Juhyeong
– Ensemble Methods of Rule-based Expert System and Data-driven AI Model: Case Study of Rotating Machinery by Namjeong
– Study on Localizing the Most Vibrating Regime on Images using Explainable Deep Learning by Hyunsuk
– Data Preprocessing and Machine Learning Techniques for Detection and Classification of Bearing Faults by Sooyoung
– Transfer Learning for Enhancing Bearing Fault Detection Performance under Time-varying Speed by Sooyoung

[10/17/19~10/17/19] iAI (Juhyeong Jeon and Yunseob Hwang) attends MICCAI 2019 (the 22nd International Conference on Medical Image Computing and Computer Assisted Intervention) at Shenzhen, China.

[09/29/19] POSTECH is selected to run degree programs of AI Graduate School. iAI will be a part of this program.

[09/18/19] Prof. Seungchul Lee gives a seminar to the IME department at POSTECH.

[09/15/19] Two iAI members (Kangsan Lee and Namjeong Lee) visit the University of Wisconsin-Madison for 6 months as exchange students. They will work with Prof. Sangkee Min. This international research collaboration opportunity is supported by the High-Potential Individuals Global Training Program of Institute for Information and Communications Technology Planning & Evaluation (IITP) under Grand 2019-0-01589.

[09/06/19] iAI attends the IDPP Conference 2019 at Daejeon.
– Ensemble Method of Rule-Based and Deep Learning for Rotating Machine Diagnostics by Namjeong (Best Student Paper Award)
– Image Recognition Algorithm for Maintenance Data Digitization: CNN and FCN by Kangsan

[09/04/19] Prof. Seungchul Lee gives a seminar to Doosan Infracore.

[08/27/19] Prof. Seungchul Lee gives a keynote speech at the 31th POSCO Annual Conference on Technology at POSTECH.

[08/22/19] iAI lab workshop took a place at Gyeongju

[08/21/19] 산업인공지능 연구실은 대한기계학회 2019년 인공지능 여름학교 참가.

[08/06/19~08/09/19] iAI (Sung Wook Kim and Juwon Na) attends the international conference on QR2MSE 2019 at Zhangjiajie, China.
– Camera Lens Module Classification and Recommendation Model based on Deep Neural Network by Sung Wook

[07/25/19] 산업인공지능 연구실은 (이승철, 전주형, 이수영, 황윤섭, 이강산) THE AI KOREA 2019 참가 (서울).

[07/24/19] Prof. Seungchul Lee gives a talk at Doosan Heavy Industry R&D Center, Suji, Gyeonggi do.

[07/01/19] 산업인공지능 연구실은 (이강산) NVIDIA AI Conference 2019 참가 (서울).

[06/26/19] 산업인공지능 연구실은 (이승철, Dr. Bayu Adhi Tama) The International Conference on the Interface between Statistics and Engineering (ICISE2019) 참가 (서울).

[06/18/19] 이승철 교수는 2019 과총-학회 공동 포럼 (Smart Factory and Manufacturing I: Digital Twin 기술) 에 참가.

[05/18/19] 산업인공지능 연구실은 (이승철, 전주형, 박충현, 황윤섭) 제1회 대한의료인공지능학회에 참가.

[04/11/19~04/12/19] 산업인공지능 연구실 (이승철, 허현석, 전주형, 김승욱, 황윤섭, 이수영, 이강산, 나주원) 은 제1회 PHM Korea 학술대회에 참가.
– 허현석, ‘Class Activation Map 원리를 활용한 센서 데이터 중요도 분석’ 포스터 발표
– 김승욱, ‘딥러닝을 활용한 카메라 렌즈 모듈 상태진단 및 예측’ 포스터 발표
– 전주형, ‘딥러닝기반의 선박 회전기기 진단 알고리즘’ 포스터 발표

[02/27/19~02/28/19] 산업인공지능 연구실 (이승철, 김승욱, 전주형) 은 대한기계학회 신뢰성부문 춘계 학술대회에 참가.
– 전주형, ‘딥러닝기반의 선박 회전기기 상태 모니터링 시계열 분석 시스템’ 포스터 발표

[02/21/19~02/22/19] 산업인공지능 연구실 (이승철, 허현석) 은 한국소음진동학회 춘계 학술대회에 참가
– 허현석, ‘Class Activation Map(CAM)을 활용한 Feature Selection Feature Selection Using Class Activation Map’ 발표

[02/21/19] Prof. Seungchul Lee gives a keynote speech titled “Is Deep Learning Useful even for Noise and Vibration Engineering?” at KSNVE conference.

[02/13/19~02/15/19] 산업인공지능 연구실은 (김승욱, 전주형, 허현석, 이남정, 박충현, Dr. Bayu) 한국인공지능학회에서 주최하는 ‘2019년 인공지능 동계 단기강좌’ 에 참가.

[01/28/19~01/30/19] 산업인공지능 연구실은 (이수영, 나주원, 이강산) 한국PHM학회에서 주최하는 ‘제2회 PHM 리더양성 위한 전문기술 강습회’에 참가.

[01/07/19~01/10/19] 산업인공지능 연구실의 허현석 학생 ‘서울대학교 DYROS 로보틱스 부트캠프’ 에 참가.

[12/17/18] Prof. Seungchul Lee starts a new online course, Machine Learning with Python.

[12/11/18] 이승철 교수는 한국생산기술연구원에서 주최하는 ‘제조혁신 기반 중소기업 활력제고 포럼’에 ‘생기원 ICT전문위원회’ 자격으로 참석.

[11/30/18~12/7/18] Prof. Sungjin Park and Prof. Seungchul Lee visit LA and Ann Arbor, USA to seek emerging aerospace research directions and collaboration opportunities.

[11/20/18] 이승철 교수는 한국로봇융합연구원에서 주최하는 AI & 협동로봇 전문가 간담회에 패널로 참석.

[10/25/18] 산업인공지능 연구실은 (이승철 교수, 김승욱, 전주형) 서울에서 열린 ‘대한전자공학회 인공지능 워크샵: 딥러닝 및 GAN 특강’ 에 참석.

[10/23/18] 산업인공지능 연구실은 (김승욱, 전주형) 대전에서 열린 ‘2018 국제필드로봇포럼’ 에 참석.

[10/17/18] Prof. Seungchul Lee attends the KSNVE conference at Yeosu, Korea.

[10/15/18~10/19/18] iAI gives Samsung Electro-Mechanics a five-day workshop on machine learning and deep learning at POSTECH, Korea.

[10/12/18] iAI attends 2018 International Explainable Artificial Intelligence Symposium at Seoul, Korea.

[10/11/18] Prof. Seungchul Lee visits the Ajin Industrial Co., LTD.

[10/04/18~10/05/18] Prof. Seungchul Lee attends the Organ-on-a-Chip World Congress and 3D-Bioprinting 2018 at San Diego, USA.

[09/19/18] Prof. Seungchul Lee attends the POSCO Industrial AI Solution Challenge as a panelist at Seoul, Korea.

[09/07/18] 이승철 교수는 한국생산기술연구원에서 주최하는 생기연 ICT 전문위원회 Kick-off Meeting 참석.

[08/21/18] Prof. Seungchul Lee attends the ETME 2018 conference as a panelist at Jeju, Korea.

[06/26/18~06/29/18] iAI (Hyunsuk Huh and Prof. Lee) attends the Ubiquitous Robots 2018 conference at Hawaii, USA.
– Human Motion Recognition using Bidirectional RNN by Hyunsuk

[05/28/18] Prof. Seungchul Lee gives a presentation to Czech technology representatives at POSTECH, Korea.

[05/17/2018] Prof. Sangkee Min from the University of Wisconsin-Madison gives a seminar titled “Anisotropic Behavior of Sapphire during Ultra-Precision Machining” at POSTECH, Korea.

[05/16/2018] Dr. Woo Sok Chang (Senior Vice President) from Hanwha Precision Machinery gives a seminar talk titled “로봇 시장과 기술의 현황 및 전망” at POSTECH, Korea.

[05/09/2018] Prof. Daeil Kwon from UNIST gives a seminar talk titled “Prognostics and Systems Health Management for Industry 4.0” at POSTECH, Korea.

[04/26/18~04/27/18] iAI attends the KSNVE conference at Jeju, Korea.
– Interpretable AI for Industrial Applications by Seungtae
– Deep Learning Algorithm for Attention and Selective Noise Reduction Technology by Hyunsuk
– Data Generation with Generative Adversarial Networks for Data Imbalance Problem by Seungtae

[02/22/18~02/23/18] iAI attends the Reliability division of KSME conference at Jeju, Korea.
– Interpretable AI for Industrial Applications by Seungtae
– Deep Learning Algorithm to Solve Data Imbalance and Shortage Problems with Fully Convolutional Networks (FCN) by Hojin
– Data Generation with Generative Adversarial Networks for Data Imbalance Problem by Hojin

[02/09/18] iAI attends the founding meeting of the Korean Society of Prognostics and Health Management (KSPHM) at Seoul, Korea.

[01/01/18] Prof. Seungchul Lee moves to POSTECH, focusing on Industrial AI research.

[12/06/17] Dr. Yonggyun Yu from the Korea Atomic Energy Research Institute (KAERI) gives a talk titled “Deep Learning and Topology Optimization” at UNIST.

[11/15/17~11/17/17] iSystems (Seungtae, Hyunseuk, and Kwangho) attend the 9th Asian Conference on Machine Learning, Yonsei University, Seoul, Korea.

[11/01/17~11/03/17] iSystems attend the KSME conference at Jeju, Korea.
– Data Generation with Generative Adversarial Networks (GAN) to Solve Data Imbalance Problems in Manufacturing by Seungtae

[11/01/17] iSystems publish the magazine articles titled “Industrial AI” in the magazine of KSNVE.

[10/25/17~10/27/17] iSystems attend the ICMR2017/QR2MSE2017 conference at Chengdu, Sichuan, China
– Experimental Study on the Life Prediction of Servo Motors through Model-based Degradation Assessment and Accelerated Degradation Testing by Bumsoo

[10/18/17~10/20/17] iSystems attend the KSNVE conference at Yesan, Korea.

[09/13/17~09/14/17] iSystems display our work at an exhibition booth at the Four Industrial Revolution Forum at UNIST, Ulsan.

[09/02/17] iSystems (Hyunsuk, Songhyun, and Kwangho) attend the tutorial titled “Reinforcement Learning for Games and Robots” by National Association of Cognitive Science Industries at SNU, Seoul, Korea.

[07/27/17~07/28/17] iSystems and KEPRI have a kick-off meeting at UNIST, Ulsan, Korea.

[07/12/17] iSystems attend the PHM Asia Pacific 2017 conference at Jeju, Korea
– Deep Unsupervised Learning for Time Series Data by Seungtae
– Mechanical Property Estimation for FDM 3D Printed Parts using Gaussian Process Regression by Heechang
– New Approach for Fault Identification using Residual-based Fault Diagnosis by Haedong

[06/05/17~06/08/17] iSystems (Haedong, Heechang, Brian, Minsub, and Prof. Lee) attend the NAMRC/MSEC conference 2017 at Los Angeles, CA, USA
– Experimental Study on Mechanical Properties of Single- and Dual-Material 3D Printed Products by Heechang
– Vision-based Real-time Layer Error Quantification for Additive Manufacturing by Haedong

[05/26/17] Prof. Seungchul Lee attends the CAE and Applied Mechanics division of the KSME conference at Busan, Korea.
– Artificial Intelligence in Mechanical Engineering by Seungchul

[5/19/17] iSystems (Haedong and Seungtae) attend “Deep Learning Tutorial: Reinforcement Learning by National Association of Cognitive Science Industries,” at KAIST, Daejeon, Korea.

[04/30/17] iSystems publish the magazine article titled “Deep Learning Tutorial” in the magazine of KSNVE.

[04/27/17] iSystems (Haedong, Seungtae, and Prof. Lee) attend KSNVE at Gwangju.
– Deep Learning Classification Models for Sequential Data by Seungtae
– Observer-based Fault Detection and Isolation for Rotating Machinery by Haedong
– Vibration Comparison between High Speed Trains (KTX and SRT) in Korea by Hojin

[04/10/17] iSystems research outcomes (IoT smart sensors and web-based visualization) are used for the KEPCO exhibition at Seoul.

[03/01/17] iSystems publish the magazine article titled “AI applications in mechanical engineering” in the magazine of KSME.

[02/23/17] iSystems attend the Reliability division of KSME conference at Jeju.
– Rotating Machinery Diagnostics using Model-based Fault Detection and Isolation by Haedong
– Servo Motor Diagnostics using Anomaly Detection by Brian
– Deep Learning Structures for Time Series Data in Manufacturing by Suhyun
– Interpretable CNN Structure for Time Series Data in Manufacturing by Seungtae
– Experimental Study on Estimation of Mechanical Properties of FDM-based 3D Printing Products by Heechang
– Development of Vision-based Quality Assurance System in 3D Printing by Minsub

[02/21/17] Sunhee Woo (M.S.) and Brian Park (B.S.) are graduated.

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[02/20/17~02/22/17] Haedong, Seungtae, and Suhyun attend the winter school for the pattern recognition and machine learning held at Korea University.

[02/08/17~02/10/17] iSystems (Haedong, Brian, and Prof. Lee) attend the HCI Korea conference at Jeongseon, Korea

[02/06/17] iSystems gives Samsung a two-day workshop on machine learning and deep learning.

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[01/19/17~01/20/17] iSystems (Haedong, Seungtae, and Suhyun) attend the  Software Convergence Symposium 2017 at Seoul, Korea.

[12/13/16] Prof. Dragan Djurdjanovic from the University of Texas at Austin gives a talk titled “New Research Trends in Condition-Based Monitoring and Predictive Maintenance” at UNIST.

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[11/14/16~11/15/16] iSystems attend the Asian Conference on Experimental Mechanics 2016 at Jeju, Korea.
– Deep Learning based Diagnostics for Rotating Machinery on Orbit Analysis by Haedong
– PHM for Manufacturing Industry with IoT and Cloud Platform by Brian Park

[10/13/16] iSystems display our work at 2016 Future Industry Innovation Forum at UNIST.

[10/19/16~10/21/16] iSystems attend the conference of the Korean Society for Noise and Vibration Engineering to display our work in an exhibition booth at Hoengseong, Korea.

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[10/02/16~10/07/16] iSystems attend the PHM conference at Denver, USA.
– Deep Learning based Diagnostics of Orbit Patterns in rotating machinery by Prof. Seungchul Lee

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[09/28/16] iSystems (Suhyun, Seungtae, and Sunhee) win a NAVER award at the 5th Data Competition of Korea Intelligent Transportation System.

[08/25/16~08/26/16] iSystems hold a lab workshop at Gyeongju

Gyeongju workshop 1

[08/17/16~08/18/16] iSystems (Seungtae and Suhyun) attend the summer school of pattern recognition and machine learning at Korea University.

[08/08/16~08/12/16] Haedong attends the AI and Robotics Summer School at KAIST.

[06/26/16~07/02/16] iSystems (Haedong, Sunhee and Prof. Lee) attends the NAMRC/MSEC conference 2016 at Blacksburg, VA, USA.
– Rotating Machinery Diagnostics using Deep Learning on Orbit Plot Images by Prof. Seungchul Lee

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[04/21/16~04/22/16] iSystems (Haedong, Sunhee and Prof. Lee) attend the Korean Society for Noise and Vibration Engineering (KSNVE) at Gyeongju, Korea.
– Real-time Monitoring for Rotating Machinery with IoT and Cloud Platform by Haedong
– Visualization Method of PCA Algorithm for Machine Health Diagnostics by Sunhee

[11/23/15~11/24/15] iSystems attend the 3rd International Conference on Materials and Reliability (ICMR), Jeju, Korea
– System Diagnostics using Kalman Filter Estimation Error by Prof. Seungchul Lee

[10/28/15~10/29/15] iSystems attend the Korean Society for Noise and Vibration Engineering, Yongpyong, Korea
– Recursive Bayesian Estimation for Rule-based Expert System in Rotating Machinery by Hyungchul
– PHM using Kalman Filter Estimation Error by Seungtae

[04/23/15~04/24/15] iSystems attend the Korean Society for Noise and Vibration Engineering, Jeju, Korea
– Anomaly Detection in Rotating Machinery based on Orbit Image Eigen-analysis by Hyungchul
– Rotational Machinery Diagnostics via Singular Value Decomposition of Orbit Images by Haedong

[04/09/15~04/10/15] iSystems attend the Korean Institute of Industrial Engineering, Jeju, Korea
– Misalignment Detection Algorithm in Stacking Processes by Hyungchul
– Rotational Machinery Diagnostics via Singular Value Decomposition of Orbit Images by Haedong

[02/26/15~02/27/15] iSystems attend the Reliability Division in the Korean Society of Mechanical Engineers, Jeju, Korea.
– Anomaly Detection in Rotating Machinery based on Machine Learning of Orbits’ Eigenvalues by Hyungchul
– Rotating Machinery Diagnosis using Orbits’ Image Pattern Recognition by Haedong

[11/30/14~11/31/14] iSystems attend the Korean Society for Noise and Vibration Engineering, Mokpo, Korea.
– Condition Monitoring in Multilayer Stacking Processes by Hyungchul

[04/24/14~04/25/14] iSysetms attend the Korean Society for Noise and Vibration Engineering, Gangchon, Korea.
– Intelligent Fault Detection and Prediction System on Wind Turbine Gearboxes by Prof. Seungchul Lee

[02/13/14~02/14/14] iSystems attend the Korean Society of CAD CAM Engineers, Pyeongchang, Korea.
– Diagnostics of Automated Manufacturing Processes Using Event Time Duration by Prof. Seungchul Lee