How to Power CAE with Artificial Intelligence & Machine Learning

Computer-aided engineering has been in existence for over half a century and is mature engineering simulation technology. However, it is largely used in the early design phase with limited synergies between design & engineering, production, manufacturing, deployment, maintenance and retirement/recycling.

While a list of key success factors have been identified before Artificial Intelligence (AI)/ Machine Learning (ML) could be democratized for usage by all design engineers using CAE, today’s most advance ML technologies at the service of CAE already deliver value to all industries by providing real-time data enabled faster innovation.

In collaboration with MSC Software, CADLM is exposing what ML and AI means in the context of virtual manufacturing and CAE and how ML techniques can shorten the simulation cost dramatically across all industries. In particular discover how automotive OEMs such as PSA and Toyota implemented machine learning techniques to accelerate crash simulations which allow for real-time structure design optimization.


Kais Bouchiba
Kais is the EMEA Senior Vice-President as well as the Global Artificial Intelligence & Machine Learning strategist for the Business Unit Design & Engineering at Hexagon. As an international senior executive with more than 30 years of technical, sales and management experience in the CAE Software business, he is known for his strategic and operational focus, delivering incremental Value to geographically disbursed customers, and achieving profitable growth, while maximizing market position. He joined the MSC Software part of Hexagon in November 1998 as the Technical Manager in France and demonstrated continuous success in his roles as French Country Manager, EMEA Technical VP and EMEA Vice-President for the Enterprise Business. Prior to joining MSC, he spent 9 years with the French Ansys support Distributor where he held the position of Chief Scientist. He holds a Grandes Ecoles Award Master of Science and Engineering Degree from the National School of Electricity and Mechanics, member of the National Polytechnic Institute of Lorraine.

Prof. Dr. Ing. Kambiz Kayvantash
(Since 2013) Managing and Scientific Director of CADLM, specialized in artificial intelligence based optimal design, crash and biomechanics an, (2008) Director of Centre for Automotive Technology and Director of Cranfield Impact Centre – (2005) Director of Optimization, Safety and Biomechanics Product Development, (1991) MECALOG Safety and Biomechanics Business Unit manager, (1985) Wissentschaftlicher Mitarbeiter, Universitaet GHS Essen, Germany.

Kambiz has over 30 years’ of industrial and academic experience and has undertaken research for many aeronautic and automotive original equipment manufacturers (OEMs) and other Tier 1 companies as simulation and safety optimization expert.


How to Power CAE with Artificial Intelligence & Machine Learning

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