IMS Center 36th Industry Advisory Board Meeting & Annual Forum on Industrial AI

  • When Mar 19, 2021 (America/New_York / UTC-400)
  • Contact Name
  • Contact Phone 5135564614
  • Add event to calendar iCal

March 19, 2021

8:15 AM

Meeting Opens

  Attendees can start joining at 8:15 - the meeting will begin at 8:30AM.
8:30 AM Welcome Address and IMS Center Update
lee2020.jpg Professor Jay Lee
Founding Director Center for Intelligent Maintenance Systems and Industrial AI

Professor Jay lee will introduce two new key areas of focus for the IMS Center
that will leverage and build upon our past successes, expand our research to encompass Industrial AI, and carry the Center forward into a new chapter:

  • Maintenance AI
    Maintenance AI seeks to build upon the key areas that the Center has pioneered over the past 20 years, including predictive maintenance, remaining useful life estimation, degradation assessment, and intelligent maintenance. Unmet challenges in these areas will be solved by developing new methodologies and “rapid learning” tools, as well as standardized and secure approaches to sharing key data and information for large scale and geographically distributed assets, across an entire enterprise, and even across an industry, to accelerate outcomes, broaden applicability, and improve solution accuracy.

  • Manufacturing AI
    The IMS Center has been at the forefront of the application of machine learning and AI in the discreet and process manufacturing, most notably in the semiconductor manufacturing industry. Many challenges still exist in measuring, estimating and predicting process variables, as well as in tying estimations or measurements to optimal control of the process to ensure improved quality. The Center will investigate and develop new methods and tools for tackling these challenges, with a focus on complex systems, as well as large scale, and geographically distributed systems.
9:00 AM IMS Center Research Updates

Performance Enhancement of Cross-Domain Fault Diagnosis in Rotating Machinery
Abhijeet Ainapure, MS Graduate Student Researcher


Ball Screw Preload Loss and Backlash Monitoring - an IMS Center and NIST Collaborative Project
Marcella Miller, PhD Graduate Student Researcher (IMS) and Dr. Greg Vogl, Mechanical Engineer, NIST


Industrial AI in Semiconductor Manufacturing
Fei Li, PhD Graduate Student Researcher; Haoshu Cai, PhD Graduate Student Researcher;  Xiaodong Jia, Research Assistant Professor


Reference-Based Prediction Methodology with Limited Historical Data: Foxconn Industrial AI Data Challenge Winning Method
Wenzhe Li, PhD Graduate Student Researcher

10:00 AM

Ongoing Research in Industrial AI


Overview of Ongoing Research in Industrial AI


Federated Learning for Manufacturing-as-a-Service
Vibhor Pandhare, PhD Graduate Student Researcher

Xiang Li.jpg

Deep Learning-based Fault Diagnosis and Prognosis Case Studies
Dr. Xiang Li, Post-doctoral Fellow


Image Data Augmentation
Laura Pahren, PhD Graduate Student Researcher

11:00 AM Break and Transition to Global Workshop
11:15 AM Workshop
  Representatives from global academic and research organizations will share their perspectives, challenges, opportunities, initiatives, and progress in AI. Specifically, attendees can expect to hear how these organizations are leading, supporting and guiding the development and adoption of AI technologies for industrial applications.
Brian Weiss 5x7.jpg Measurement and Evaluation of PHM for Manufacturing Operations
Dr. Brian Weiss, Project Leader, Prognostics and Health Management for Reliable Operations in Smart Manufacturing, NIST, USA
singh.png Industrial AI - A Systematic Approach
Dr. Jaskaran Singh, Assistant Professor, Thapar Institute of Engineering & Technology, India
canedo.jpg AI for Automation Engineering
Dr. Arquimedes Canedo, Principal Scientist, Siemens Corporate Technology, USA
macchi.png Data-Driven Digital Twins for the Operations Management in Smart Factories
Dr. Marco Macchi, Professor, School of Management, Politecnico di Milano, Italy
David_Siegel.jpg Autonomous Fault Diagnosis with Human-in-the-Loop
Dr. David Siegel, Chief Technology Officer, Predictronics

Industrial Artificial Intelligence in Abbott Molecular Diagnostics
Dr. Yuan Di, Data Scientist, Abbott

karim.jpg AI Factory with Case Studies for Railway and Mining
Dr. Ramin Karim, Professor, Luleå University of Technology, Sweden
1:00 PM Adjourn

This Industry Advisory Board Meeting is by invitation only.
Please click the button below to request an invitation for this event.
IMS Center Member Company Free
IMS Center Researcher Free
Non-Member, By Invitation Only Free

About This Event
The IMS Center is happy to welcome you to our first virtual Industry Advisory Board (IAB) Meeting and Workshop on Industrial AI.

Due to the COVID-19 pandemic we have not been able to connect with the IMS community as we have done in the past through our semi-annual, in-person IAB meetings. Out of abundance of caution, and to ensure the safety of our team and our members, collaborators, partners, and researchers, we have postponed all in-person events until 2022. In the meantime, we are excited to have this opportunity to keep you up-to-date on our latest innovations and future research directions, as well as expose you to some global perspectives on AI from technology leaders from academia, government, and industry. We hope that you find this event rewarding.
The IMS Center Team