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Release of AI/ML Manufacturing Technology Roadmap and Consortium Planning
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Details
This in-person event will feature the public release of A Manufacturing Technology Roadmap for AI-Enhanced Multimodal Sensing of Materials and Processes for Complete Product Lifecycle Performance as well as initial discussions to form a consortium to translate the roadmap's recommendation into action.
Event Overview
Introduction to the Roadmap
Including the critical challenges and opportunities.
Consortium-building Activities
Facilitated discusions to begin building the consortium needed to develop the necessary Tools & Equipment, Standards & Techniques, and Training & Educational Resources.
Speakers
- Bijan Sayyar-Rodsari, Director of Rockwell Automation’s AI Center of Excellence
- Bernard Bewlay, Chief Scientist, Materials Systems & Services Technologies at GE Research
- Jim Warren, Director of the Materials Genome Program at NIST
Bijan, Bernard, and Jim will lead an industry-focused set of talks to connect the work and mission behind the Roadmap to the critical needs of industry. We will also hold breakout sessions to refine the vision for a future-state consortium centered around AI in Manufacturing.
Background
The roadmap identifies challenges to the development of manufacturing capabilities through applications of AI-enhanced multimodal sensing, data harmonization, and closed-loop process control, and proposes a series of research and development activities that aim to help manufacturers apply these tools and technologies to enhance the performance of products across all lifecycle stages.
This roadmap, developed through engaging a diverse pool of experts from industry, academia, and government, is specifically focused on a comprehensive approach to future manufacturing and advanced materials through the integration of sensing, data analytics, and AI/ML tools with traditional materials science and manufacturing process domain knowledge over the entire product lifecycle.
We will also hold initial planning discussions for a proposed consortium, as the activities proposed in this roadmap are beyond the scope, funding, and capabilities of any single organization. Achieving the roadmap’s vision will require the coordinated efforts of a multistakeholder consortium, and we invite those interested in shaping and driving that consortium to attend and contribute.
The release event will include an overview of the roadmap, including the critical challenges and opportunities, as well as specific recommendations for research and development activities to begin building the needed Open Data Management, Generative AI, and Training & Educational Resources.
Note: this is an in-person event.More information can be found on the project website: https://case.edu/issacs/
Food Provided
Speakers
Mike Molnar
Director – Advanced Manufacturing National Program Office
National Institute of Standards and Technology (NIST)
https://www.nist.gov/people/mike-molnar
Mike Molnar is the founding director of the Advanced Manufacturing National Program Office, the interagency team responsible for the Manufacturing USA program. Mike also leads the NIST Office of Advanced Manufacturing and serves as co-chair of the National Science and Technology Council, Subcommittee on Advanced Manufacturing – the team responsible for the National Strategic Plan for Advanced Manufacturing.
Bernard Bewlay
Chief Scientist
General Electric Aerospace Research
https://www.ge.com/research/people/bernard-bewlay
Bernard Bewlay is a Chief Scientist at General Electric Aerospace Research in Niskayuna, NY. He has extensive experience in high-temperature materials, including conventional turbine engine materials, such as nickel based superalloys and titanium alloys, and advanced high-temperature systems, such as titanium aluminides and refractory metal silicides.
He is the inventor on more than 190 issued patents. He has published more than 130 articles in the area of processing-structure-property relationships in high-temperature temperature materials. He has given many invited talks throughout the World on Intermetallics and high-temperature structural materials.
He has co-chaired numerous international conferences, and he was the 2016 Materials Research Society Fall meeting chair. He has received several prestigious awards for his contributions, including the General Electric 2018 Coolidge Award. He is a member of the Materials Research Society and TMS. He is also a Fellow of ASM International and IOM3.
James Warren
Director of the Materials Genome Program
National Institute of Standards and Technology (NIST)
https://www.nist.gov/people/james-warren
Bio: Dr. James A. Warren is the Director of the Materials Genome Program in the Material Measurement Laboratory of the National Institute of Standards and Technology (NIST). After receiving his Ph.D. in Theoretical Physics at the University of California, Santa Barbara, in 1992 he took a position as a National Research Council post-doc in the Metallurgy Division at NIST. In 1995, with three other junior NIST staff members, he co-founded the NIST Center for Theoretical and Computational Materials Science, which he has directed since 2001. From 2005-2013 he was the Leader of the Thermodynamics and Kinetics Group. His research has been broadly concerned with developing both models of materials phenomena, and the tools to enable the solution of these models. Specific foci over the years has included solidification, pattern formation, grain structures, creep, diffusion, wetting, and spreading in metals. In 2010-11, Dr. Warren was part of the ad hoc committee within the Office of Science and Technology Policy’s National Science and Technology Council (NSTC) that crafted the founding whitepaper on the Administration’s Materials Genome Initiative (MGI). Since 2012, Dr. Warren has served as the Executive Secretary of the NSTC MGI Subcommittee, coordinating inter-agency efforts to achieve the goals laid out in the MGI.
Bijan Sayyar-Rodsari
Director of AI Center of Excellence
Rockwell Automation
https://www.linkedin.com/in/bijan-sayyar-rodsari-12001510/
Dr. Bijan Sayyar-Rodsari is Director of AI Center of Excellence at Rockwell Automation that focuses on enabling manufacturing industry’s transition from automation to autonomy. He received his Ph.D. degree in Information Theory from Stanford University in 1999. He has been involved in design, development, and real-world deployment of ML/AI driven solutions for predictive maintenance, modeling, control, and optimization in a diverse range of industrial applications for more than 20 years.
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