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

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

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

Date: 28-29 April 2021
Location: Online International Seminar

Agenda Now Available



Overview

Artificial Intelligence (AI), aside from being a media-friendly hot-topic, is becoming more and more a part of the activities traditionally covered by the engineering analysis and simulation community. Recent advances in the application of AI, machine learning (deep learning) and predictive analytics, have brought these technologies to the fore in every area of industry. This virtual event will bring together speakers from the end-user, consultancy, and academic industries to discuss where we are and how these technologies are being used to advance significantly the engineering analysis and simulation capabilities and approaches over the next 10 years.

This event will address such questions as…

  • How do we benchmark the needs for an AI data driven process?
  • How will engineering data science drive the future for engineering simulation?
  • How can the knowledge built on engineering simulation help guide the use of these advanced technologies?
  • Conversely, how can advanced technologies drive the future of engineering simulation?
  • VVUQ and trustworthiness in results is important, so how does that apply to AI?
  • In what areas does AI compete, complement, and/or integrate with engineering simulation methods and processes?

Event Agenda

The event agenda, located at the top of this page, is subject to change.

All times are Eastern Daylight Time.

We recommend that you use Google Chrome to join this event as it works best with the conference platform.

 

TitleSpeakerCompanyStart Time

Day 1: Wednesday, 28 April

Welcome & Introduction (Stage 1)NAFEMS Americas9:45
AI for Simulation: Current Possibilities and Future ChallengesPeter ChowFujitsu Laboratories of Europe Limited10:00
Challenges with Trustworthiness of Data-Driven and Machine Learning Approaches

Mahmood Tabaddor

UL LLC

10:30

Case Studies (Parallel Presentations; Stages 1-2)

AI/ML/ROM-based Modelling, Prediction and Optimization for CAE Applications (Stage 1)

Kambiz Kayvantash

CADLM

11:00

Machine Learning for Automation of Post-processing of Simulation Results and Extraction of 3D Digital CAE Reports (Stage 2)

Mohan Varma

Visual Collaboration Technologies Inc

11:00
Main Program; Stage 1
Efficient Multiscale Composite Modeling via an Embedded Long Short Term Memory Surrogate Microscale Model

Joshua Stuckner

NASA Glenn Research Center

11:30

Case Studies (Parallel Presentations; Stages 1-2)

Combining Machine Learning and Physics-based Simulation for Product Development (Stage 1)

Yangzhan Yang

Dassault Systemes SIMULIA

12:00

Best Practices for Data Driven Simulation Modeling (Stage 2)

Danilo Di Stefano

Esteco SPA

12:00
Breakout Rooms (Parallel Discussions - Not Recorded; Rooms 1-4)
Differential Equations and Data Driven Models : Which one came first and which one is more reliable for engineering practices? (Room 1)

Kambiz Kayvantash

CADLM

12:30
Learn to Predict, or Learn to Simulate? Big Data, or Small Data? -- Reality in the Simulation World (Room 2)

Zhenyuan Gao

Dassault Systemes SIMULIA

12:30
How to Trust ML/AI Algorithms? (Room 3)

Mahmood Tabaddor

UL LLC

12:30
The Best AI is Invisible. Would you agree? (Room 4)

Fatma Kocer

Altair Engineering

12:30
Open Discussions (Additional Rooms Available)N/AN/A12:30

_________________________

Day 2: Thursday, 29 April

Brief Welcome (Stage 1)NAFEMS Americas9:55

Learning Simulation Using Graph Networks

Tobias Pfaff

DeepMind10:00

Data Science Driving the Future of Engineering Simulation

Robin Tuluie

Physics X

10:30
Case Studies (Parallel Presentations; Stages 1-2)
The New "AI" Wave: Does It Apply to Engineering? (Stage 1)

Pierre Baqué

Neural Concept Ltd.

11:00
AI-Powered Product Design (Stage 2)Fatma KocerAltair Engineering11:00
Breakout Rooms (Parallel Discussions - Not Recorded; Rooms 1-5)
How will real-time simulations impact the products around us? (Room 1)

Anthony Massobrio

Neural Concept Ltd.

11:30
What steps should I take to determine how my team might best utilize AI data driven models and the digital twin concept? (Room 2)Rod Dreisbach

IEAC

11:30

How is AI impacting the way we should train tomorrow’s engineering simulation workforce? (Room 3)

Olivia Pinon Fischer

Aerospace Systems Design Laboratory

11:30
Is physics based knowledge the future of ML/AI? What is “Small Data” and are we at the cusp of a revolution in ML/AI? (Room 4)Juan BettsFront End Analytics11:30
Autoencoders: Are they the future of ROM and generative design? (Room 5)

Marc Emmanuelli

Monolith AI

11:30
Open Discussions (Additional Rooms Available)N/AN/A11:30
Main Program (Stage 1)
Panel Discussion: State of Explainable AI/ML

Mahmood Tabaddor

UL LLC

12:30

 

Attention Registrants: The joining link will be sent a couple of days prior to the start of the event, but you will receive a confirmation email shortly after you register.

 

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Sponsorship Opportunities

The sponsorship opportunities for this event have now been filled.