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AI, Data Driven Models & Machine Learning: How Will Advanced Technologies Shape Future Simulation Processes?

Artificial Intelligence, Data Driven Models & Machine Learning

AI, Data Driven Models & Machine Learning: How Will Advanced Technologies Shape Future Simulation Processes?

 

 

Date: 23-24 February 2022
Location: Online International Seminar

Hosted by

NAFEMS Americas Region

 

Overview

Artificial intelligence, and more specifically machine learning, is becoming another method for engineers engaged in product development, design and deployment to have in their toolkit. In recognition of the growing importance and potential impact of AI, NAFEMS is organizing a regular international seminar to help its membership gain a sense of where ML technologies are having a real impact and where it might be going. Similar to the growth of traditional engineering analysis and simulation, the growth trajectory of ML/AI is experiencing some of the same growing pains.

In the first seminar of this series in April of 2021, several themes were covered such as the synergy between Machine Learning and traditional engineering simulation to help deliver productivity gains, model trustworthiness and physics informed machine learning. In this second seminar, several themes - such as Digital Twin, Advanced Design and others - will be covered with continued emphasis on practical case studies on how these tools are being used today to solve product engineering problems throughout the product lifecycle. We will continue to explore both the synergies and differences between Machine Learning and traditional engineering simulation methodologies through this seminar series.

Please click here to view the conference abstracts

 

Agenda

The event agenda below is subject to change. All times are Eastern Standard Time.

Title

Speaker

Company

Start Time

Day 1: Wednesday, February 23rd

 

Welcome & Introduction (Stage 1)

Mahmood Tabaddor

UL LLC & NAFEMS Americas Steering Committee Member

9:45

AI-Driven Learning of the Science and Engineering of Materials from Simulations

Ankit Agrawal

Northwestern University

10:00

Case Studies 1 (Parallel Presentations; Stages 1-2)

Transition Time (10:30 - 10:35)

Hybrid Approach Combining Machine Learning and Meta-Modeling to Predict Material Behavior (Stage 1)

Rani Harb

Hexagon | MSC

10:35

Neural Network Approaches for Plastic Material Modeling (Stage 2)

Zhenyuan Gao

Dassault Systèmes SIMULIA Corp

10:35

Case Studies 2 (Parallel Presentations; Stages 1-2)

Transition Time (11:05 - 11:10)

Reducing CAE Costs and Lead Time Thanks to Deep-Learning in CAD/CAE (Stage 1)

Thomas Von Tschammer

Neural Concept

11:10

New Developments in Physics Informed Machine Learning & Artificial Intelligence (Stage 2)

Juan Betts

Front End Analytics

11:10

Break: 20 Minutes

Break Time (11:40 – 12:00)

Main Program; Stage 1

 

 

 

Machine Learning-based Timing Error Simulation of Microelectronic Circuits (Stage 1)

Xun Jiao

Villanova University

12:00

Photorealistic Synthetic Data Generation For AI-Based Feature Development (Stage 1)

Nikita Jaipuria

Ford Motor Company

12:30

Brief Preview of Day 2

Mahmood Tabaddor

UL LLC & NAFEMS Americas Steering Committee Member

1:00

Day 2: Thursday, February 24th

 

 

 

Brief Welcome (Stage 1)

Mahmood Tabaddor

UL LLC & NAFEMS Americas Steering Committee Member

9:55

I4.0 Product Engineering & the Role of AI in the Future of Product Development (Stage 1)

Uyiosa Abusomwan

Rice University

10:00

Case Studies 3 (Parallel Presentations; Stages 1-2)

Transition Time (10:30 - 10:35)

Accelerating Manufacturability Processes Using PINNs (Stage 1)

Richard Ahlfeld

Monolith AI

10:35

How to Develop and Deploy Hybrid (sim/ML) Models at Scale (Stage 2)

Sergey Morozov

DATADVANCE

10:35

Main Program; Stage 1

Transition Time (11:05 – 11:10)

Title: TBC

End-User

TBC

11:10

Break: 20 Minutes

Break Time (11:40 – 12:00)

Main Program (Stage 1)

Panel Discussion: Current and Emerging Machine Learning Techniques for Engineering Applications

Led by Vladimir Balabanov

NAFEMS Engineering Data Science Working Group

12:00

Close

 

 

1:45

 

Details

Event Type Seminar
Member Price £91.80 | $125.00 | €110.25
Non-member Price £183.60 | $250.00 | €220.50
Credit Price Free when using 2 Member Credits

Dates

Start Date End Date Location
23 Feb 202224 Feb 2022Zuddl, Online

*Joining link will be sent closer to event date.

Sponsors

Hexagon- MSC software

 

Simulia

 

Neural Concept

 

front end analytics

Monolith

 

 

In-Kind Sponsors

 

Sponsorship Opportunities

The sponsor places are now filled. Please contact NAFEMS Americas to be added to the sponsor waitlist should additional sponsorship opportunities become available.