8:15 am - 2:45 pm PDT (UTC-7)

Event Lobby

8:15 - 8:30 am Welcome Address

8:30 - 2:30 pm Information & Agenda

2:30 - 2:45 pm Closing Messages

8:30 - 9:15 am PDT (UTC-7)


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


Anna Hiszpanski, Materials Scientist, Lawrence Livermore National Laboratory

15 Minute Break

Day 1 | Aug 10 | Session 1

9:30 - 11:00 am PDT (UTC-7)

Process Control & Optimization I


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

Industry Use Cases I


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

Day 1 | Aug 10 | Session 2

11:15 - 12:45 pm PDT (UTC-7)

Process Control & Optimization II


Brenda Ng, Lawrence Livermore National Laboratory

11:15 - 11:45 am


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


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

Computer Vision & Robotics I


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

Industry Use Cases II


Benjamin Silbaugh, Continuum Dynamics, Inc.

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

Day 1 | Aug 10 | Session 3

12:45 - 2:30 pm PDT (UTC-7)

Computer Vision & Robotics II


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

Industry Use Cases III


Robin Miles, Lawrence Livermore National Laboratory

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


2:30 pm - 2:45 pm PDT (UTC-7)

Closing Messages