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8:15 - 8:30 am Welcome Address
8:30 - 2:30 pm Information & Agenda
2:30 - 2:45 pm Closing Messages
Devesh Upadhyay
Technical Expert & Leader Core AI-ML Research
Ford Motor Company
Machine Learning and Data Science, Opportunities and Cautions in Science and Engineering -- discussions on observations and initial efforts at Ford
Moderator
Anna Hiszpanski, Materials Scientist, Lawrence Livermore National Laboratory
15 Minute Break
Moderator
Israr Kabir, American Society of Mechanical Engineers
9:30 - 10:00 am
Automated Wing in Tank Inspection using AI
Jony Castagna
UK Science and Technology Facilities Council
10:00 - 10:30 am
Machine Learning Enabled Quality Improvement in Smart Manufacturing Systems
Jianjun Shi
Georgia Institute of Technology
10:30 - 11:00 am
Holistic Modeling and Analysis of Multistage Manufacturing Processes with Sparse Effective Inputs and Mixed Profile Outputs
Andi Wang
Georgia Institute of Technology
Moderator
Brendan McGinty, National Center for Supercomputing Applications
9:30 - 10:15 am
Automated Defect Detection using Deep Learning
Rajesh Aggarwal
Avyuct LLC
10:15 - 11:00 am
Application of Scientific Machine Learning (SciML) for Manufacturing Processes
Vic Castillo
Lawrence Livermore National Laboratory
15 Minute Break
Moderator
Brenda Ng, Lawrence Livermore National Laboratory
11:15 - 11:45 am
Withdrawn
11:45 - 12:15 pm
Repairing Cardiac Valve Leakage With Patient-specific Data Generation And Machine Learning on an Azure/Google/UberCloud Multi-cloud Environment With SUSE Rancher Kubernetes Management
Wolfgang Gentzsch
UberCloud
12:15 - 12:45 pm
Applications of Framework for Optimization, Quantification of Uncertainty, and Surrogates (FOQUS) to Modeling of CO2 Capture Technologies
Joshua Morgan
National Energy Technology Laboratory
Moderator
Laura Kegelmeyer, Lawrence Livermore National Laboratory
11:15 - 11:45 am
Quantifying robustness of neural networks
Lily Weng
University of California San Diego
11:45 - 12:15 pm
Machine Learning Driven Material Performance Prediction
Brian Gallagher
Lawrence Livermore National Laboratory
12:15 - 12:45 pm
Explaining neural network predictions of material strength
Nathan Mundhenk
Lawrence Livermore National Laboratory
11:15 - 12:00 pm
Confluence of Numerical Modeling Methods and Artificial Intelligence in Physics-based Simulations
Seid Koric & Shirui Luo, co presenters
University of Illinois at Urbana Champaign
12:00 - 12:45 pm
Application of Computer Vision in Banking Process Automation
Sam Ansari
Accure, Inc.
15 Minute Break
Moderator
Randy Roberts, Lawrence Livermore National Laboratory
1:00 - 1:30 pm
Photodiode-based machine learning for optimization of laser powder bed fusion parameters in complex geometries
Simon Lapointe
Lawrence Livermore National Laboratory
1:30 - 2:00 pm
Robust Video Analytics
Ling Liu
Georgia Institute of Technology
2:00 - 2:30 pm
Adversarially Regularized Policy Learning Guided by Trajectory Optimization
Tuo Zhao
Georgia Institute of Technology
1:00 - 1:45 pm
Converged Workflows of HPC, AI and Data in COVID-19 response
Rangan Sukumar
Hewlett Packard Enterprise
1:45 - 2:30 pm
Leading the Charge in Steel Industry Applications of Artificial Intelligence and Machine Learning: ArcelorMittal Use-Case Examples
Bernard Chukwulebe
ArcelorMittal
Closing Messages
