2018 and Before
[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
[04/09/18] 포항공대 신임교원 워크샵
[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.
[07/14/17] Prof. Seungchul Lee gives an AI tutorial in the PHM Asia Pacific 2017 conference at Jeju, 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.
[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.
[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.
[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.
[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
[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
[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
[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