Agenda
AI and Manufacturing
March 23-24, 2018
Virtual Meeting
Objective: Share research and capabilities and create a 2020-2030 roadmap for AI and Manufacturing.
Day One - Monday, March 23, 2020 - (Speakers Underlined)
07:30-08:00 Digital Registration/ Brief Intro to Zoom Collaboration
08:00 Welcome & Symposium Overview - Mark Maybury, Chair
08:15 Toward a Roadmap of AI Enabled for Manufacturing and Operations (With Audience feedback)
Mark Maybury (Stanley Black and Decker)
08:45-9:30 Keynote 1
The Future of AI and Work.
Dr. Doug Vaughn. Convergence Accelerator, National Science Foundation
9:30 Coffee Break
9:45-11:15 AI for Human Upskilling and Reskilling (20 min talks, 10 min Q&A Panel)
AI-Enabled Training in Manufacturing Workforce Development.
Beverly Woolf, Aritra Ghosh, Andrew Lan, Shlomo Zilberstein and Tom Juravich (U Mass Amherst).
Building Ethical AI for Workforce Empowerment, Upskilling, and Reemployment in Manufacturing.
National Science Foundation Convergence Accelerator. Huiling Ding (North Carolina State University)
Towards AI-Assisted Smart Training Platform for Future Manufacturing Workforce.
Weichao Wang (UNC Charlotte), Xintao Wu (University of Arkansas), Pu Wang (UNC Charlotte), Mark Maybury (SBD) and Aidong Lu (UNC Charlotte).
National Science Foundation Convergence Accelerator: Empowering a Digital Technology Workforce through Alignment and Coordination of Upskilling and Reskilling Opportunities.
Jennifer Thornton (Business-Higher Education Forum) and Stephanie Blockinger (Business-Higher Education Forum)
11:15 – 11:45 Break for Lunch
11:45-12:30 Keynote 2
The Elephant in the AI-enabled Factory: Data Integrity
Brad Keywell, Founder and CEO, Uptake Technologies
12:30-13:00 Roadmap Discussion 1 - All Participants (facilitated by Chair with virtual white-boarding)
13:00-14:30 AI to Enhance Sensors and Analytics (20 min talks, 30 min Q&A Panel and Sensor Roadmap)
Real-Time Analytics for IIOT.
Bijan Sayyarrodsari (Rockwell Automation) and Tom O'Reilly (Rockwell Automation).
Sensors and AI for Factory Automation.
Ola Friman (SICK, Inc) - presented by Salim Dabous, Nick Longworth and Joshua Stearns)
AI Applications in Manufacturing Operations.
Vivek Diwanji (Cognizant Technology Solutions), Phani Bhushan Sistu (Cognizant Technology Solutions) and Sharath Prasad (Cognizant Technology Solutions).
14:30-15:00 Summary IoT/ Analytics Roadmap Discussion - All Participants (facilitated by chair)
15:00 End of first day
Day Two - Tuesday, March 24, 2020
07:45-08:00 Digital Registration/ Brief Intro to Zoom Collaboration
08:00 Roadmap Update - Mark Maybury with All Participants (with virtual white-boarding)
08:30 Keynote 3
Old MacDonald Automated His Farm... AI, AI, Oh.
Marshall Monroe, MM MAGIC Productions
09:30 Coffee Break
09:45–10:45 AI for Generative Design and Additive Manufacturing (20 min talks, 20 min Q&A Panel)
Democratizing Innovation through Design Automation, ‘One-Click’ Manufacturing Services and Intelligent Machines.
Binil Starly (North Carolina State University), Atin Angrish (North Carolina State University), Deepak Pahwa (North Carolina State University), Mahmud Hasan (North Carolina State University), Akshay Bharadwaj (North Carolina State University) and Paul Cohen (North Carolina State University).
Automatic Volumetric Segmentation of Additive Manufacturing Defects with 3D U-Net.
Vivian Wen Hui Wong (Stanford University), Max Ferguson (Stanford University), Kincho H. Law (Stanford University), Yung-Tsun Tina Lee (National Institute of Standards and Technology (NIST)) and Paul Witherell (National Institute of Standards and Technology (NIST))
10:45-11:05 AI for Machining, Assembly/Process Control and Optimization Part I
AI Enabled Manufacturing for Those Who Make the WorldTM.
Mark Maybury, Sudhi Bangalore, Eric Cohen and Ashley Baron (Stanley Black and Decker).
11:30 Break for Lunch
12:00-13:30 AI for Machining, Assembly/Process Control and Optimization Part II (20 min talks, 10 mins Q&A Panel)
Stanley Black & Decker: A Case Study in Using Edge AI for Scrap Reduction.
Sastry Malladi (FogHorn).
Next-Generation of Weld Quality Assessment Using Deep Learning and Digital Radiographic Images.
M-Mahdi Naddaf-Sh, Sadra Naddaf-Sh, Hassan Zargaradeh (Phillip M. Drayer Electrical Engineering Department, Lamar University) and Mohammad R. Zahiri and Amir R. Kashani (Artificial Intelligence Lab, Stanley Oil & Gas)
Physics-Guided Machine Learning for Self-Aware Machining.
Noel Greis (North Carolina State University), Monica Nogueira (North Carolina State University), Sambit Bhattacharya (Fayetteville State University) and Tony Schmitz (University of Tennessee Knoxville)
AccuWave: A stochastic Process Model for Accurate and Real-time Ocean Wave Prediction.
Zhao Li (Hohai University), Yan Tang (Hohai University) and Zequan Guo (Hohai University)
13:30 Coffee Break
13:45-14:45 AI for Mobility & Human-Robot Cooperation (20 min talks followed by Q&A Panel)
Autonomous Robotic Exploration and Mapping of Smart Indoor Environments With UWB-IoT Devices
Tianyi Wang, Ke Huo, Muzhi Han, Daniel McArthur, Ze An, David Cappelleri and Karthik Ramani, Purdue
Adam Norton, Amy Saretsky, and Holly Yanco (New England Robotics Validation and Experimentation (NERVE) Center, University of Massachusetts Lowell).
A Common Platform for Semantic Annotation of Manufacturing Data for Machine Learning.
Kelleher Guerin, Luke Tuttle and Jacob Huckaby (Ready Robotics Corp).
14:45 Speaker Q&A and White-boarding Panel on Mobility and Robotics - ALL Participants
15:15 Final Overall Roadmap Revisit
16:00 Symposium Close - Mark Maybury
© 2020 by Mark Maybury, PhD. Proudly created with Wix.com