[Openings] There are many open positions for Ph.D. or combined students and Post-doctoral researchers. I am looking for students with strong mathematical background (e.g., probability and linear algebra) and computer programming skills. Please see our lecture materials and projects. The minimum requirements for those who are interested in joining our lab are
1) to complete the basic lectures on machine learning and deep learning found here.
2) to contact me before submitting your application
Industrial AI Lab exploits the followings with applications to electro-mechanic and manufacturing systems.
- Deep Learning for industrial applications
- Industrial internet of things (IIoT) for edge computing
- Robotics for smart factories
- Reinforcement learning for mechanical systems
Industrial AI Lab requires interdisciplinary engineering fields:
- Statistics, probability, and optimization
- Machine learning and deep learning
- Discrete signal processing and control
- Mechanical and electrical design skills
Funded Research Projects
| No. | Project Topics | Sponsor | Start | End | Role |
| 22 | 알루미늄 주조 합금의 광학 미세조직 사진기반 석출상 분리 | 재료연구원 | 2019.03 | 2020.12 | PI |
| 21 | IoT 기반 보조기기 원격 진단지원 툴킷 개발 | 전력연구원 | 2017.06 | 2020.05 | co-PI |
| 20 | 인공지능 딥러닝 기반 소장캡슐 내시경 스마트 판독 시스템 개발 | 서울성모병원 | 2018.04 | 2021.12 | co-PI |
| 19 | 지능형 학습기반 대상조건 조향계 이음판별 장치개발 | 현대모비스 | 2018.05 | 2018.12 | PI |
| 18 | 학습 기반 이음/소음 검사기 현장적용 기술 개발 | 삼성전자 | 2018.04 | 2018.11 | PI |
| 17 | 종합 설비데이터 진단을 위한 딥러닝 플랫폼 개발 | 삼성전기 | 2018.03 | 2018.12 | PI |
| 16 | 기계시스템 진단 및 제어를 위한 차세대 인공지능 기초 연구 | 한국기계연구원 | 2018.01 | 2020.12 | PI |
| 15 | 선박 회전기기 상태기반 유지보수를 위한 스마트 모니터링 시스템 개발 | 산업기술평가관리원 | 2017.07 | 2019.12 | co-PI |
| 14 | 가스터빈 통합 데이터 기반 상태 진단 및 예측 시스템 개발 | 한국전력연구원 | 2017.07 | 2018.07 | PI |
| 13 | AI-based Unconventional Architecturing Technologies for Hybrid-scale Micro-/Nano-structures | UNIST | 2017.01 | 2017.12 | co-PI |
| 12 | 동작측정 데이터 기반 지능형 분류(학습) 알고리즘 개발 및 MoWas UI 개선 | 삼성전자 | 2017.02 | 2017.08 | PI |
| 11 | Development of an Intelligent Diagnosis and Automatic Control Software Platform for Smart Factory | UNIST | 2017.01 | 2017.12 | co-PI |
| 10 | 빅데이터 기반 머신러닝 조립 품질검사 및 영상인식 분석 이종추적 플랫폼 구축 | 중소기업청 | 2016.11 | 2018.10 | co-PI |
| 09 | 학습 기반 이음/소음 검사 기술/시스템 개발 | 삼성전자 | 2016.09 | 2017.09 | PI |
| 08 | 자동차 산업 제조 혁신을 위한 3D 프린터 모니터링 시스템 구축 및 데이터 기반 가공 변형 최소화 제어 알고리즘 개발 | 한국연구재단 | 2016.06 | 2017.12 | PI |
| 07 | IoT센서를 이용한 빅데이터 기반의 로봇 상태 예지 정비 시스템 기술 개발 | 정보통신산업흥원 | 2015.07 | 2017.12 | co-PI |
| 06 | 이상진단 알고리즘 개발 및 시스템 구축 II | 삼성전기 | |||
| 05 | 팬진동 이상인자 도출설계 | 한국전력연구원 | 2014.11 | 2015.07 | PI |
| 04 | Plant BOP 회전기기 진동진단 알고리즘 프로그래밍 | 두산중공업 | 2014 | 2014 | PI |
| 03 | 이상진단 알고리즘 개발 및 시스템 구축 I | 삼성전기 | 2014.02 | 2014.11 | PI |
| 02 | 인간과 기술가치의 미래 제조산업을 위한 융합형 인간 및 시스템공학자 양성사업 | BK21+ | 2013 | 2017 | co-PI |
| 01 | Development of Self-Diagnostic Algorithm in a MLCC Stacker | UNIST | 2017.07 | 2018.06 | PI |
Talks
| No. | Date | Topics | Where | |
| 67 | Introduction to AI for PHM | Korea Hydro and Nuclear Power (KHNP) | Gyeongju | |
| 66 | 07/23/18~ 07/27/18 |
Tutorial: AI | SK Hynix | POSTECH PIRL |
| 65 | 07/18/18 | Introduction to AI for Automotive Manufacturing | Hyundai KEFICO | Gunpo-si |
| 64 | 06/25/18 | AI for Automotive Manufacturing | Hyundai Motor Company | Ulsan |
| 63 | 05/29/18 | 인공지능, 기계공학에서 이렇게 쓰인다 | ME, KAIST | Daejeon |
| 62 | 05/04/18 | Tutorial: Deep Learning | Global FinTech Industry Promotion Center | Pusan |
| 61 | 04/25/18 | Deep Learning for Mechanical Engineering | ME, POSTECH | Pohang |
| 60 | 04/24/18 | Deep Learning for Engineered Systems | Korea Aerospace Research Institute (KARI) | Daejeon |
| 59 | 04/20/18 | AI for Engineered Systems | Korea Institute of Industrial Technology (KITECH) | Incheon |
| 58 | 04/16/18 | Deep Learning for Healthcare and Medical Applications | Catholic University of Korea Seoul St. Mary’s Hospital | Seoul |
| 57 | 04/13/18 | Tutorial: Case Studies on Industrial AI | Postech Information Research Laboratories (PIRL) | Pohang |
| 56 | 04/06/18 | AI/Big Data for Energy and Utilities | SK E & S | Pohang |
| 55 | 03/30/18 | AI for Engineered Systems | Korea Institute of Materials Science (KIMS) | Changwon |
| 54 | 03/26/18 | Deep Learning for PHM and Smart Factory | POSCO | Pohang |
| 53 | 03/22/18 | Deep Learning for Semiconductor Equipment PHM | Tokyo Electron Ltd. (TEL) | Suwon |
| 52 | 03/21/18 | Deep Learning for Engineered Systems | Korea Atomic Energy Research Institute (KAERI) | Daejeon |
| 51 | 03/16/18 | Deep Learning for Automotive Industry | Hyundai Motor Company | |
| 50 | 02/13/18 | Deep Learning for Engineered Systems | Korea Railroad Research Institute | Uiwang-si |
| 49 | 02/08/18 | Tutorial: Deep Learning | Computational Structure Engineering Institute of Korea | Seoul |
| 48 | 02/01/18~ 02/02/18 |
Tutorial: Machine Learning and Deep Learning | Hanwha Techwin | Seoul |
| 47 | 01/30/18 | PHM using Deep Learning | Korea Hydro and Nuclear Power | Seoul |
| 46 | 01/29/18 | Tutorial: Deep Learning | Pusan National University | Pusan |
| 45 | 01/25/18 | Tutorial: AI and Smart Factory | Computational Design and Engineering Conference | |
| 44 | 01/23/18 | Introduction to PHM for Smart Plant Monitoring and Maintenance | Engineering Development Research Center (EDRC) | Seoul |
| 43 | 01/16/18~ 01/19/18 |
Tutorial: Deep Learning | KSME | Seoul |
| 42 | 12/18/17 | Monitoring and Diagnostics in Manufacturing using Deep Learning | Global Technology Center of Samsung Electronics | Suwon |
| 41 | 12/14/17~ 12/15/17 |
Tutorial: Machine Learning and Deep Learning | Hanwha Techwin | Seoul |
| 40 | 12/08/17 | Deep Learning for Smart Manufacturing | Research Institute of Industrial Science and Technology (RIST) | Pohang |
| 39 | 12/01/17 | Deep Learning and Smart Manufacturing | Pusan National University | Pusan |
| 38 | 11/28/17 | Machine Learning and Deep Learning | Korea East-West Power Company | Ulsan |
| 37 | 11/22/17~ 11/23/17 |
Tutorial: Machine Learning and Deep Learning | Hanwha Techwin | Seoul |
| 36 | 11/09/17 | Deep Learning for Smart Diagnostics | Korea Hydro and Nuclear Power (KHNP) | Daejeon |
| 35 | 10/18/17 | Tutorial: Deep Learning with Noise and Vibration Data | KSNVE Conference | Yesan |
| 34 | 10/11/17 | Deep Learning and its Applications to Smart Manufacturing | GIST | Gwangju |
| 33 | 09/27/17 | Make it Smarter via Deep Learning | K-School, KAIST | Daejeon |
| 32 | 09/18/17 | The 4th Industrial Revolution and Smart Manufacturing | Ulsan | |
| 31 | 09/14/17 | Data Analytics in Manufacturing and Transportation: Deep Learning and PageRank | GSGT, KAIST | Daejeon |
| 30 | 08/25/17 | Tutorial: Machine Learning and Deep Learning | Hanyang University | Seoul |
| 29 | 08/21/17~ 08/23/17 |
Tutorial: Deep Learning | KSME | Seoul |
| 28 | 08/21/17 | Deep Learning Applications to Smart Factory | Korea Institute of Communication and Information Science | Pusan |
| 27 | 08/10/17 | Make it Smarter with Deep Learning | Chung-Ang University | Seoul |
| 26 | 07/26/17 | AI-based Smart Manufacturing | Hyundai Mobis | Mabuk-dong |
| 25 | 07/21/17 | Deep Learning and its Applications to Smart Manufacturing | Hanwah Techwin | Pangyo |
| 24 | 07/11/17 | Deep Learning and its Applications to Smart Manufacturing | Executive Directors at Samsung Electro-Mechanics | Suwon |
| 23 | 06/26/17 | Deep Learning and its Applications to Smart Manufacturing | Samsung Electro-Mechanics | Suwon |
| 22 | 06/19/17 | Machine Learning and Deep Learning | KIMM | Daejeon |
| 21 | 06/16/17 | AI for the Future of Production | UNIST | Ulsan |
| 20 | 05/30/17 | PHM with IoT Smart Sensors | Hyundai Heavy Industries | Ulsan |
| 19 | 04/26/17 | Coding for Machine Learning and Deep Learning with Vibration Data | KSNVE | Gwangju |
| 18 | 04/24/17 | Make IT Smarter via Deep Learning | ME, POSTECH | Pohang |
| 17 | 04/21/17 | Intelligent Mechatronic Systems with Signal Processing, Control, and Optimization | Hongik University | Seoul |
| 16 | 04/19/17 | How to teach Engineering Mechanics as a recipient of outstanding teaching award | UNIST | Ulsan |
| 15 | 04/10/17 | Mechatronics with Machine Learning and Deep Learning | Inha University | Incheon |
| 14 | 03/14/17 | Machine Learning and Deep Learning in Manufacturing | KIMM | Daejeon |
| 13 | 01/17/17 | Bayesian Machine Learning and Data Visualization in PHM | Korea Atomic Energy Research Institute (KAERI) | Daejeon |
| 12 | 12/15/16 | Machine Learning and Data Visualization in Manufacturing | KSME Conference | |
| 11 | 11/09/16 | Machine Learning and Data Visualization in Manufacturing | IME, POSTECH | Pohang |
| 10 | 08/04/16 | Intelligent Mechanical Systems with Machine Learning | KIMM | Daejeon |
| 09 | 07/18/16 | IoT and Cloud Platform for Monitoring | Signallink | Daejeon |
| 08 | 07/13/16 | IoT-based PHM in Power Plants | KEPCO | Daejeon |
| 07 | 12/04/15 | Machine Learning for Machine Healthcare Systems | Korea Aerospace University | Seoul |
| 06 | 08/28/15 | Big Data Mining and IoT-based PHM | Seoul National University | Seoul |
| 05 | 05/21/15 | Big Data Visualization | ASPM Business Analytic Program, UNIST | Ulsan |
| 04 | 03/20/15 | Big Data Visualization in Manufacturing | UNIST Big Data Symposium | Ulsan |
| 03 | 12/13/13 | Diagnostics and Prognostics of Battery Management Systems | Samsung Advanced Institute of Technology (SAIT) | Suwon |
| 02 | 10/15/13 | Issues on Intelligent Prognostics | Korea Electric Power Research Institute (KEPRI) | Daejeon |
| 01 | 10/07/13 | Introduction to iSystems Design Laboratory | UNIST | Ulsan |