In-Person

Modern Modeling Workflows for Complex Engineering Systems

In-Person

Modern Modeling Workflows for Complex Engineering Systems

Event Date & Time

Mar 27, 2026, 12:00 AM

Mar 27, 2026, 12:00 AM

CET

Speakers

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Share

Event Date & Time

Mar 27, 2026, 12:00 AM

CET

Speakers

Share

A Hands-On Engineering Workshop | Grove (Oxfordshire, UK) | March 27

Engineering Is Getting More Complex. Your Tools Shouldn’t Slow You Down.

Today’s engineering teams are under pressure to:

  • Model increasingly complex, multi-domain systems

  • Reduce iteration cycles while maintaining rigor

  • Integrate data-driven methods with physics-based models

  • Deliver insights faster without compromising accuracy

In software engineering, AI and agentic workflows have transformed productivity and development speed.
Hardware and systems engineering, however, has not yet experienced the same step change. This workshop is designed to close that gap. 

A Practical, Workflow-Focused Session Leveraging Agentic Intelligence

Join us in Grove, Oxfordshire at the renowned Atlassian Williams Racing campus for a hands-on engineering seminar focused on modern modeling and simulation workflows. This session introduces a new approach to system design using Dyad, an AI-native modeling and simulation platform. You’ll explore how agentic intelligence, symbolic modeling, and Scientific Machine Learning (SciML) can streamline complex engineering tasks.

Through guided exercises and live demonstrations, participants will:

  • Build acausal and synchronous system models

  • Apply symbolic manipulation for advanced analysis

  • Experience AI-assisted modeling workflows

  • Explore how physics-based modeling integrates with SciML

  • Preview emerging capabilities across HVAC, multibody systems, and state machines

Throughout the session, you will work directly within Dyad, experiencing how an AI-native environment can accelerate modeling, iteration, and insight generation.

Dyad offers a domain specific modeling language, a GUI for system design, an intelligent modeling agent with integrated SciML capabilities. 

This workshop is designed for engineers, simulation specialists, system architects, R&D and modeling teams and anyone from the model-based system engineering engineering domain. Designed for teams exploring AI-assisted workflows to tackle complex engineering challenges with a next-generation approach.

Event Details

Date: Friday, March 27
Location: Grove, Oxfordshire, Williams Racing campus
Time: 10:00–14:00 (followed by open discussion)

This is a publicly hosted workshop with limited capacity to ensure meaningful interaction and discussion.

Secure Your Seat

Due to limited seating, email confirmation is required to reserve your place. Register early to ensure availability. Additional event details will be shared upon confirmation.

Presenters
Dr. Michael Tiller, Brad Carman, Anshul Singhvi

Speakers

Dr. Michael Tiller is a well-known modeling and simulation luminary, one of the contributors to the Modelica modeling language, creator of Modelica University, and author of two books including Modelica by Example. With more than 25 years of expertise at industry-leading organizations like Ford Motor Company and Ricardo, Michael has an unending fascination with new and interesting ways to harness computers and software to improve the way complex engineering problems are overcome.

Brad Carman previously served as a Mechanical Engineer at Instron specializing in System Modeling with focus on model and software development for the Crash Simulation system.

Anshul Singhvi is a contributor to Julia's plotting (Makie.jl), geospatial (JuliaGeo) and documentation ecosystems, and a developer on the Dyad team.

Speakers

Dr. Michael Tiller is a well-known modeling and simulation luminary, one of the contributors to the Modelica modeling language, creator of Modelica University, and author of two books including Modelica by Example. With more than 25 years of expertise at industry-leading organizations like Ford Motor Company and Ricardo, Michael has an unending fascination with new and interesting ways to harness computers and software to improve the way complex engineering problems are overcome.

Brad Carman previously served as a Mechanical Engineer at Instron specializing in System Modeling with focus on model and software development for the Crash Simulation system.

Anshul Singhvi is a contributor to Julia's plotting (Makie.jl), geospatial (JuliaGeo) and documentation ecosystems, and a developer on the Dyad team.

Speakers

Dr. Michael Tiller is a well-known modeling and simulation luminary, one of the contributors to the Modelica modeling language, creator of Modelica University, and author of two books including Modelica by Example. With more than 25 years of expertise at industry-leading organizations like Ford Motor Company and Ricardo, Michael has an unending fascination with new and interesting ways to harness computers and software to improve the way complex engineering problems are overcome.

Brad Carman previously served as a Mechanical Engineer at Instron specializing in System Modeling with focus on model and software development for the Crash Simulation system.

Anshul Singhvi is a contributor to Julia's plotting (Makie.jl), geospatial (JuliaGeo) and documentation ecosystems, and a developer on the Dyad team.

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Mar 27, 2026, 12:00 AM

Europe/London

Sign Up

Register below to get event details sent to you.

We’ll use your information to host this webinar and send essential communications. You can also choose to receive our newsletter and updates—just check the box above. You can unsubscribe anytime. Read more in our Privacy Policy.

Mar 27, 2026, 12:00 AM

Europe/London

Sign Up

Register below to get event details sent to you.

We’ll use your information to host this webinar and send essential communications. You can also choose to receive our newsletter and updates—just check the box above. You can unsubscribe anytime. Read more in our Privacy Policy.

Mar 27, 2026, 12:00 AM

Europe/London

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Modern Modeling Workflows for Complex Engineering Systems

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Modern Modeling Workflows for Complex Engineering Systems