www.matlabexpo.com Open in urlscan Pro
104.102.56.82  Public Scan

Submitted URL: http://app.go.mathworks.com/e/er?s_v1=49525&elqem=3948320_EM1_UK_LEV_23-10_UK-EXPO_GENERAL-B&s=646005169&lid=34831&elqTrackI...
Effective URL: https://www.matlabexpo.com/uk/2023.html?s_v1=49525&elqem=3948320_EM1_UK_LEV_23-10_UK-EXPO_GENERAL-B
Submission: On July 17 via manual from GB — Scanned from GB

Form analysis 0 forms found in the DOM

Text Content

WE VALUE YOUR PRIVACY

We and our partners store and/or access information on a device, such as cookies
and process personal data, such as unique identifiers and standard information
sent by a device for personalised ads and content, ad and content measurement,
and audience insights, as well as to develop and improve products. With your
permission we and our partners may use precise geolocation data and
identification through device scanning. You may click to consent to our and our
partners’ processing as described above. Alternatively you may access more
detailed information and change your preferences before consenting or to refuse
consenting.
Please note that some processing of your personal data may not require your
consent, but you have a right to object to such processing. Your preferences
will apply to this website only. You can change your preferences at any time by
returning to this site or visit our privacy policy.
MORE OPTIONSAGREE
Skip to content




MATLAB EXPO 2023 UNITED KINGDOM

Toggle Sub Navigation
 * Register

 * Register




UNITED KINGDOM


5 OCTOBER 2023 | IN PERSON AT SILVERSTONE


Register

Attend this conference to network, watch technical presentations and share
experiences on the latest trends and advances in technology and science areas
such as AI, telecommunications, autonomous systems and robotics, and
electrification.


Whether you’re a user of MATLAB and Simulink or a technical manager, you’ll
increase your network and gain new skills and knowledge that you can immediately
apply to your work.





FEATURED SESSIONS

Keynote: Model-Based Design for Digital Engineering: Impact and Directions

Richard Rovner, MathWorks

Keynote: The Pursuit of Zero-Defect Development

Jason Casey, BAE Systems


VENUE

Silverstone Wing
Silverstone Circuit
Towcester
Northamptonshire, NN12 8TN

View map and get directions


Register

--------------------------------------------------------------------------------


AGENDA


TRACKS

A Master Class: How to Develop Next Generation AI-Based Wireless Communications
Systems

B Master Class: Going Beyond the Electrical in Modelling Energy Storage Systems

C Master Class: Developing, Testing, and Deploying Models and Algorithms in the
Cloud

D Master Class: Developing Architectures with System Composer

Time
Session Title
08:30
Registration and Networking

08:30
Registration and Networking

×

REGISTRATION AND NETWORKING

test

--------------------------------------------------------------------------------



09:00
Welcome and Introduction
Sham Ahmed, MathWorks

09:00
Welcome and Introduction Sham Ahmed, MathWorks

×

WELCOME AND INTRODUCTION


SHAM AHMED

MathWorks

09:15
Keynote: Model-Based Design for Digital Engineering: Impact and Directions
Richard Rovner, MathWorks

09:15
Keynote: Model-Based Design for Digital Engineering: Impact and Directions
Richard Rovner, MathWorks

×

KEYNOTE: MODEL-BASED DESIGN FOR DIGITAL ENGINEERING: IMPACT AND DIRECTIONS

Model-Based Design has been a reliable and powerful framework for designing
complex systems for more than two decades. Today’s engineers are confronting new
workflows influenced by trends in software development, the integration of AI,
and cloud computing. Learn how MathWorks is investing in Model-Based Design to
deliver critical capabilities to automate design tasks, prevent defects, and
scale to increasingly complex digital systems.

--------------------------------------------------------------------------------


RICHARD ROVNER

MathWorks

Richard Rovner is vice president of marketing for MathWorks. He leads the
worldwide marketing organization of 300+ people responsible for strategic
planning; product and technology strategy; industry, academia, and field
marketing; digital marketing and creative services; corporate communications;
and marketing planning and operations. Before joining MathWorks in this role in
2001, Richard held senior marketing and sales positions at SAS, an analytics and
statistical software company. He spent the first part of his career as what is
now called a data scientist, working for over 10 years developing applications
in computer vision and image processing, machine learning and artificial
intelligence, simulation, and statistical analysis. He has a B.S. in applied
mathematics from Carnegie Mellon University and an M.S. in computer science from
George Washington University.

10:00
Keynote: The Pursuit of Zero-Defect Development
Jason Casey, BAE Systems

10:00
Keynote: The Pursuit of Zero-Defect Development Jason Casey, BAE Systems

×

KEYNOTE: THE PURSUIT OF ZERO-DEFECT DEVELOPMENT

Discover what BAE Systems has achieved with model-based engineering and how
their journey with MATLAB® and Simulink® has led them to embrace automation
within their developments to achieve zero-defect solutions.

--------------------------------------------------------------------------------


JASON CASEY

BAE Systems

Jason Casey is chief software engineer at BAE Systems Electronic Systems, based
in Rochester, Kent. He has a long history of safety-critical software
development using model-based engineering techniques spanning diverse
developments in both commercial and military applications for Airbus, Boeing,
Lockheed Martin, and BAE Systems, amongst others. He now drives the strategic
process improvements in model-driven development for multiple business areas,
whilst being a champion for the use of MathWorks products within BAE Systems
worldwide. 

10:30
Break, Technology Showcase, and Networking

10:30
Break, Technology Showcase, and Networking

×

BREAK, TECHNOLOGY SHOWCASE, AND NETWORKING


11:00
Optimising the Energy Efficiency of Electric Vehicles with Simulink and Simscape
Andrew Curtis, Polestar
Toby Ford, Polestar

11:00
Optimising the Energy Efficiency of Electric Vehicles with Simulink and Simscape
Andrew Curtis, Polestar
Toby Ford, Polestar

×

OPTIMISING THE ENERGY EFFICIENCY OF ELECTRIC VEHICLES WITH SIMULINK AND SIMSCAPE

Polestar is committed to accelerating the change to a fully electric,
climate-neutral future. We are passionate about design and cutting-edge
technology, and simulation is a crucial tool in developing the next generation
of our electric vehicles.

Electric vehicle design presents a new challenge for modelling and simulation.
Optimising a vehicle's energy management requires understanding the interactions
between complex mechanical and electrical systems and their control software.
Polestar has risen to this challenge by developing a flexible and modular
simulation platform using Simulink® and Simscape™ products.


Discover how Polestar models the performance and energy consumption of the
vehicle mechanics, propulsion system, thermal management, cabin comfort, and
control software.


--------------------------------------------------------------------------------


ANDREW CURTIS

Polestar


TOBY FORD

Polestar

11:30
Panel Discussion: The Importance of Model-Based Design in Electrification
Toby Ford, Polestar
Neil Hodgins, Dyson
Chris Hayhurst, MathWorks

11:30
Panel Discussion: The Importance of Model-Based Design in Electrification Toby
Ford, Polestar
Neil Hodgins, Dyson
Chris Hayhurst, MathWorks

×

PANEL DISCUSSION: THE IMPORTANCE OF MODEL-BASED DESIGN IN ELECTRIFICATION

The electrification megatrend is well underway as many countries look to
decarbonise their economies and move to a net-zero future. Every industry is
seeing a boom in new startups looking to disrupt the status quo and established
companies needing to pivot or transition their businesses.

The panel of industry experts, all with strong backgrounds in modelling and
simulation, will debate what has made them successful at different stages in
their journey of developing electrified systems. Learn from the challenges that
they faced in their use of Model-Based Design and be inspired by their vision of
the future.


--------------------------------------------------------------------------------


TOBY FORD

Polestar


NEIL HODGINS

Dyson


CHRIS HAYHURST

MathWorks

12:00
Lunch Break, Technology Showcase, and Networking

12:00
Lunch Break, Technology Showcase, and Networking

×

LUNCH BREAK, TECHNOLOGY SHOWCASE, AND NETWORKING


13:30
Integrating AI into Simulink for Simulation and Deployment
Gary Matson, MBDA Systems
Nicola Easton, MBDA Systems

13:30
Integrating AI into Simulink for Simulation and Deployment Gary Matson, MBDA
Systems
Nicola Easton, MBDA Systems

×

INTEGRATING AI INTO SIMULINK FOR SIMULATION AND DEPLOYMENT

There has been a recent explosion of research into artificial intelligence (AI)
which has demonstrated immense promise across all industries, with levels of
performance accuracy previously unobtainable now commonplace.

The rapid evolution and advancement of the tools and techniques used for
training cutting-edge AI solutions benefits from a wide variety of tools such as
MATLAB®, PyTorch® and TensorFlow™ working together. However, to exploit these AI
solutions beyond research and into products, it is critical that they can be
used for inference “in the wild.”


See how MBDA engineers have successfully imported externally developed AI
solutions into full system Simulink® models for testing and proving, and
subsequently deployed these solutions onto embedded hardware.


--------------------------------------------------------------------------------


GARY MATSON

MBDA Systems


NICOLA EASTON

MBDA Systems

Master Class: How to Develop Next Generation AI-Based Wireless Communications
Systems
Master Class: Going Beyond the Electrical in Modelling Energy Storage Systems
Master Class: Developing, Testing, and Deploying Models and Algorithms in the
Cloud
Master Class: Developing Architectures with System Composer
14:00
How to Develop Next Generation AI-Based Wireless Communications Systems
Daniel Aronsson, MathWorks
Nadia Shivarova, MathWorks

Going Beyond the Electrical in Modelling Energy Storage Systems
Tom Grimble, MathWorks



14:00
A
How to Develop Next Generation AI-Based Wireless Communications Systems Daniel
Aronsson, MathWorks
Nadia Shivarova, MathWorks

B
Going Beyond the Electrical in Modelling Energy Storage Systems Tom Grimble,
MathWorks

×

HOW TO DEVELOP NEXT GENERATION AI-BASED WIRELESS COMMUNICATIONS SYSTEMS

The explosion of AI has ushered in a new paradigm for designing systems that
solve complex problems. The use of AI as a viable alternative to traditional
wireless techniques is currently an active area of research. As such, it is
being considered as part of 3GPP Release 18. However, gathering real training
data and training AI models can be prohibitively expensive and time consuming.

In this master class, learn how you can use MATLAB® to generate synthetic
training data for a deep learning neural network applied to a wireless system,
and accelerate this using parallel computing on both CPUs and GPUs. See how to
automatically classify modulation schemes and perform neural network-based
channel estimation. This approach reduces cost, gives flexibility, and can
accelerate the process significantly.


--------------------------------------------------------------------------------


DANIEL ARONSSON

MathWorks


NADIA SHIVAROVA

MathWorks

×

GOING BEYOND THE ELECTRICAL IN MODELLING ENERGY STORAGE SYSTEMS

Energy storage is one of the key enabling technologies in the electrification of
systems. It is applicable at all scales, from power grid and renewable energy
storage solutions down to the ubiquitous presence of batteries in consumer
electronic devices. Modelling the electrical dynamics of individual battery
cells and how differences at the cell level interact at the module and pack
level is a critical step in ensuring the safe and performant operation of these
systems. Issues such as thermal management can also have a major impact on a
whole system’s performance, with product requirements extending beyond pure
electrical modelling.

In this talk, hear a MathWorks engineer share different approaches to modelling
battery systems that can accelerate the design of packs and control systems. The
methods discussed will help engineers better understand common challenges and
constraints when integrating energy storage into wider systems.

Tools enabling multiphysics simulation of complex system interactions will also
be discussed, including examples of how similar modelling approaches are
applicable to a wide range of other energy storage technologies such as fuel
cells and flow batteries.

--------------------------------------------------------------------------------


TOM GRIMBLE

MathWorks

×




×




15:00
Break, Technology Showcase, and Networking

15:00
Break, Technology Showcase, and Networking

×

BREAK, TECHNOLOGY SHOWCASE, AND NETWORKING


15:30
Developing, Testing, and Deploying Models and Algorithms in the Cloud
Charles Hawkins, MathWorks
Amélie Lamarquette, MathWorks

Developing Architectures with System Composer
Mark Walker, MathWorks

15:30
C
Developing, Testing, and Deploying Models and Algorithms in the Cloud Charles
Hawkins, MathWorks
Amélie Lamarquette, MathWorks

D
Developing Architectures with System Composer Mark Walker, MathWorks

×




×




×

DEVELOPING, TESTING, AND DEPLOYING MODELS AND ALGORITHMS IN THE CLOUD

With the challenges of increasing complexity, reduced product timelines, and the
need for more reliable testing, it is important to be able to test, deploy, and
scale applications in the cloud.

Learn how you can develop, test, and deploy MATLAB® algorithms and Simulink®
models in the cloud. Find out how this helps accelerate your development, scale
up your testing activities, and support processing data where it is stored in
the cloud.


The session will focus on the application of Model-Based Design to cloud-based
workflows and demonstrate the tools that are available to accelerate the
creation of CI/CD pipelines.


Key points covered will include:

 * Developing and scaling in the cloud
 * Automating testing of MATLAB and Simulink artifacts in a CI process
 * Deploying, running, and monitoring models and algorithms in production in the
   cloud

--------------------------------------------------------------------------------


CHARLES HAWKINS

MathWorks


AMÉLIE LAMARQUETTE

MathWorks

×

DEVELOPING ARCHITECTURES WITH SYSTEM COMPOSER

In this talk, get an introduction to System Composer™ and hear how it can be
used by systems and design engineers to describe architectures, going from high
level into detail. See through examples how this creates opportunities for
increased traceability and analysis in your design process. Finally, explore the
options for connecting System Composer to other MathWorks and third-party design
tools. 

--------------------------------------------------------------------------------


MARK WALKER

MathWorks

16:30
End of event

16:30
End of event

×

END OF EVENT





 * Trust Center
 * Trademarks
 * Privacy Policy
 * Preventing Piracy



Visit MathWorks web site



© 1994-2023 The MathWorks, Inc.


 * 
 * 
 * 
 * 
 * 
 * 




Join the conversation


Go to top of page