2019


[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 receives the best teaching award at ME, POSTECH.

[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 takes 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.