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 Seminar

Hosted by

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 throughout 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 23^rd
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)	Pierre Baqué	Neural Concept	11:10
New Developments in Physics Informed Machine Learning & Artificial Intelligence (Stage 2)	Juan Betts & Esmaeil Dehdashti	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 24^th
Brief Welcome (Stage 1)	Mahmood Tabaddor	UL LLC & NAFEMS Americas Steering Committee Member	9:55
Industry 4.0 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)*
Critical Asset Predictive Maintenance with Data-Driven and Physics-Based Simulation Software	Nilesh Tralshawala & Alexander Warning	Xerox PARC	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 Fatma Kocer, Vice-Chair	NAFEMS Engineering Data Science Working Group	12:00
Close			1:15

*Joining link will be sent closer to event date.

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.