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Reduce Risk and Accelerate Development Using Digital Engineering Models
30 May @ 10:00 am to 11:00 am
MathWorks and the Defence Teaming Centre (DTC) are proud to present a webinar on the topic of reducing risk and accelerating development using digital engineering models.
Digital engineering can lead to faster, more reliable and cost-effective product development, as well as more innovative and impactful solutions to complex engineering problems.
The added complexity in new system development challenges traditional ways of design and collaboration. One of the main drivers of this complexity increase is the amount of data generated, not only during operation, but also at design time. Digital engineering is becoming increasingly important to successfully design these complex systems.
To successfully implement Digital Engineering, it is necessary to establish a level of authoritative virtualisation that can substitute, automate, or shorten activities that were previously performed in the real world. It’s something that organisations strive to embrace and tool vendors claim to implement.
However, what is the practical reality behind digital engineering? What are some of the essential aspects of an engineering ecosystem that provide the value promised? This presentation discusses these questions and how models are a central and essential element of digital engineering.
Speaker: Alex Shin, Principal Application Engineer, MathWorks Australia
Alex Shin is a Principal Application Engineer at MathWorks. He specialises in helping customers in the area of simulation, verification and automatic code generation, primarily for commercial/production projects. His recent work includes defining simulation and verification process and implementation of Model-Based Design tools in large organisations. Mr. Shin received Bachelor’s degree from University of New South Wales in mechatronics engineering.
This is a DTC Member only event – If you are not a financial DTC member, we are happy to discuss membership options with you, please call 08 7320 1000 or email [email protected].
