News
Professor Lee Highlights the Importance of Industrial AI and Stream of Quality (SoQ) in interview with The Innovator
Professor Lee Featured in World Economic Forum Article on How Artificial Intelligence Could Transform Manufacturing
Professor Lee Awarded Eli Whitney Research Productivity Award
Jay Lee Receives SM Wu Research Implementation Award
IMS Student Laura Pahren Receives a 2022 Outstanding Young Manufacturing Engineer Award from SME
IMS to Organize Invited Session at AMEST 2022
IMS Researcher Presents at the 2021 Annual Conference of the PHM Society
SME Publishes Article Featuring the IMS Center, Predictronics, and Toyota
IMS Researchers Partner with Applied Materials to Present at ASMC 2021
IMS Center Researchers Win First Foxconn Industrial AI Data Challenge
The IMS Center Hosts First Virtual Industry Advisory Board Meeting and Global Workshop on Industrial AI
IMS Center Papers Have the Highest Number of Citations in CIRP, MSSP and Manufacturing Letters (UPDATED)
IMS Article on a Digital Twin Framework for Shop Floor Design Published in Manufacturing Letters
IMS Center Researchers Present at the ESREL2020 PSAM15 Conference
Professor Jay Lee Ranked Among top 2% of Scientists Worldwide by Stanford University
IMS Researcher Presenting at the 2020 Annual Conference of the PHM Society
IMS Center Article on Wind Speed Prediction Published in Renewable Energy
IMS Presents at the 2020 Advanced Semiconductor Manufacturing Conference
IMS Center Article on Deep Learning Published in International Journal of Dynamics and Control
IMS Spinoff Receives SBIR Phase II Award from the US Navy
The IMS Center Publishes Intelligent Maintenance Review Paper Dedicated to Prof. S. M. Wu and Dr. Dick Kegg
IMS to Participate in Workshop on Industrial AI for Smart Manufacturing
SME Recognizes IMS Directors as Most Influential Professors in Smart Manufacturing
Professor Jay Lee Publishes Book on Industrial AI
Professor Jay Lee Spoke at the World Economic Forum's Global Lighthouse Network's CxO Workshop
IMS Center Director Professor Jay Lee Recognized as a Top Grant Awardee for 2020
The IMS Center Helps Two Members, Weichai and Baosteel, to be Elected to the World Economic Forum’s Global Lighthouse Network
IMS Paper Published on Multi-step Wind Speed Prediction Based on Turbulence Intensity and Hybrid Deep Neural Networks
IMS Paper on A Blockchain Enabled Cyber-Physical System Architecture for Industry 4.0 Manufacturing Systems Published in Manufacturing Letters
IMS Center Papers Included in Lists of Top Ten Cited Papers in Industry 4.0
