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

http://demo.imscenter.net/IMS/events/industrial-ai-annual-forum-ims-center-36th-industry-advisory-board-meeting
IMS Center 36th Industry Advisory Board Meeting & Annual Forum on Industrial AI
2021-03-19T00:00:00-04:00
2021-03-19T23:59:59-04:00

When Mar 19, 2021 (America/New_York / UTC-400)
Contact Name Patrick Brown
Contact Phone 5135564614
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Agenda

March 19, 2021

ALL TIMES IN EDT

IMS CENTER UPDATES
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
	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
	*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

GLOBAL MINI-WORKSHOP ON INDUSTRIAL AI
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.
	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
	*Industrial AI - A Systematic Approach* Dr. Jaskaran Singh, Assistant Professor, Thapar Institute of Engineering & Technology, India
	*AI for Automation Engineering* Dr. Arquimedes Canedo, Principal Scientist, Siemens Corporate Technology, USA
	Data-Driven Digital Twins for the Operations Management in Smart Factories Dr. Marco Macchi, Professor, School of Management, Politecnico di Milano, Italy
	*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
	AI Factory with Case Studies for Railway and Mining Dr. Ramin Karim, Professor, Luleå University of Technology, Sweden
1:00 PM	Adjourn

Registration

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.

Sincerely,

The IMS Center Team