Workshop Theme
Human and AI Driven Autonomous Production: A New Era in Advanced Manufacturing
Autonomous production is redefining advanced manufacturing, with additive manufacturing at the forefront of this transition. This Snapshot Workshop explores how AI-enabled decision-making, human oversight, and digital infrastructure are converging to unlock new levels of flexibility, speed, and resilience in additive manufacturing.
Through expert insights and discussion, the program examines AI-driven process optimization, digital twins, digital inventory, cybersecurity, and the development of an AI-trained workforce—while addressing the ethical and governance challenges associated with deploying AI in AM environments. Attendees gain a forward-looking view of how standards will shape the next era of AI-enabled additive manufacturing.
What You’ll Gain
What You’ll Gain
- Insight into AI-enabled autonomous production shaping additive and advanced manufacturing
- Real-world applications of digital twins, digital inventory, and AI-driven optimization in AM
- Clarity on cybersecurity, data integration, and ethical considerations for AI in manufacturing
- Understanding of the skills, workforce development needs, and standards required to scale AI-enabled additive manufacturing
Event Details
Important Notice
This Snapshot Workshop is held in coordination with ASTM F42 and ISO TC 261 standards activities, providing a practical, forward-looking perspective ahead of committee meetings. The Snapshot Workshop and ASTM F42 / ISO TC 261 meetings will be held on separate dates and at different locations. Please review the details below carefully when planning your participation.
ASTM Additive Manufacturing Center of Excellence Snapshot Workshop
Date: March 9, 2026
Location: University of Tennessee, Knoxville – Student Union
Address: 1502 Cumberland Avenue, Knoxville, TN 37996
Room: 272A – Pilot Ballroom A
Registration:
https://na.eventscloud.com/ereg/index.php?eventid=867191&
ASTM F42 / ISO TC 261 March 2026 Meetings
Dates: March 10–13, 2026
Location: Oak Ridge National Laboratory – Manufacturing Demonstration Facility
Address: 2350 Cherahala Blvd, Knoxville, TN 37932
Important: Pre-registration is required by January 31, 2026 to access the ORNL campus.
More Information:
https://na.eventscloud.com/website/92251/
Who Should Attend
This workshop is intended for:
- Additive manufacturing practitioners and technical leaders
- AI and digital manufacturing specialists
- Standards developers and committee participants
- Industry, government, and academic stakeholders preparing for AI-enabled production environments
Program Agenda
| Start Time | End Time | Topics | Speaker | Organization |
|---|---|---|---|---|
| 8:30 AM | 9:00 AM | Doors Open Continental Breakfast | 1502 Cumberland Avenue, Knoxville, TN 37996 | 272A, Pilot Ballroom A |
| 9:00 AM | 9:15 AM | Welcome Remarks | Deborah Crawford | Vice Chancellor for Research, Innovation, & Economic Development, University of Tennessee - Knoxville |
| 9:15 AM | 9:30 AM | ASTM Advanced Manufacturing Division Updates | Sergio Sanchez | ASTM International |
| 9:30 AM | 10:00 AM | An AM Common Data Model for AI Interoperability | Kareem Aggour | Technology Manager, GE Aerospace |
| Shengyen Li | Mechanical Engineer, NIST | |||
| 10:00 AM | 10:30 AM | Impacts of AI on Manufacturing Cybersecurity | Curtis Taylor | Chief Technical Integration Officer, CyManII/ORNL |
| 10:30 AM | 11:00 AM | Artificial Intelligence for Manufacturing - Enabling Measurement Science and Standards | Yan Lu | Deputy Division Chief - System Integration, NIST |
| 11:00 AM | 11:15 AM | Networking Break | ||
| 11:15 AM | 11:45 AM | Advanced Manufacturing and Innovation: Research, Prototype, and Production Ecosystem | Fred Carter | Head of Research and Development, DMG Mori Advanced Solutions |
| 11:45 AM | 12:15 PM | Advancing Vision Metrology with Deep Learning: Case Study with Digital Imaging Correlation and Photometric Stereo | Ping Guo | Associate Professor of Mechanical Engineering, Northwestern University |
| 12:15 PM | 1:15 PM | LUNCH | ||
| 1:15 PM | 1:45 PM | Developing Autonomous Manufacturing Systems: Challenges and Perspectives from an Applied Academic | Mike Groeber | Director of Manufacturing at the Institute for Materials and Manufacturing Research, Ohios State University |
| 1:45 PM | 2:15 PM | Appropriate use of AI/ML in detection of issues in Advanced Manufacturing | Shuchi Khurana | CEO of Addiguru |
| 2:15 PM | 2:45 PM | ASTM Data Initiatives driving the future of AI/ML for Accelerated Materials and Process Qualification | Richard Huff and Sergio Sanchez | ASTM International |
| 2:45 PM | 3:00 PM | Networking Break | ||
| 3:00 PM | 3:30 PM | AI-assisted automated microscopy and material characterization. | Sergei Kalinin | Professor of Materials Science and Engineering, University of Tennessee - Knoxville |
| 3:30 PM | 4:30 PM | Panel: From Automation to Autonomy: Human and AI Driven Production in Advanced Manufacturing | Moderator: Bradley Jared Panelists: -Curtis Taylor -Fred Carter -Yan Lu -Shuchi Khurana -Mike Groeber | |
| 4:30 PM | 4:45 PM | Wrap-up and Thank you | ||
| 5:30 PM | Network & Entertainment - light refreshment, cash bar | Calhoun's On The River | 400 Neyland Dr, Knoxville, TN 37902 |
Speakers and Panelists
-
Technology Manager, GE Aerospace
Kareem Aggour
-
Mechanical Engineer, NIST
Shengyen Li
-
Chief Technical Integration Officer, CyManII/ORNL
Curtis Taylor
-
Yan Lu
Deputy Division Chief - System Integration, NIST
-
Head of Research and Development, DMG Mori Advanced Solutions
Fred Carter
-
Associate Professor of Mechanical Engineering, Northwestern University
Ping Guo
-
Director of Manufacturing at the Institute for Materials and Manufacturing Research, Ohios State University
Michael Groeber
-
CEO of Addiguru
Shuchi Khurana
-
Professor of Materials Science and Engineering, University of Tennessee - Knoxville
Sergei Kalinin
Co-chairs
-
ORNL
Michael Kirka
-
The University of Tennessee, Knoxville
Bradley H. Jared
-
ORNL
Luke Scime
-
ASTM International
Mohsen Seifi
-
Auburn University
Nima Shamsaei
Travel Information
A detailed travel guide is available to assist with planning accommodations and transportation for both events:
Register
This event is open for registration. The fees are listed below:
Registration Rate
| Regular | $150 |
| ASTM Member | $100 |
| ORNL Staff | $100 |
| Student | $50 |


