Aerospace & Defence Forum part 1: Modelling & Simulation, AI and Cloud
The need for advanced civil and defence systems has been brought into sharp focus. In civil, the drive for zero climate impact is driving development of advanced propulsion, autonomous systems, and urban air mobility. In defence, geopolitical uncertainty has highlighted the necessity for Next-Generation physical and digital systems.
The MathWorks Aerospace & Defence forum will bring experts on different key technology areas to discuss how we can accelerate the development of next-generation systems. Register today to join the forum and explore how models and data can help us respond to these challenges.
Block#1: How to accelerate product development with modelling & simulation
- What is Model-Based Design and why is it so useful?
- What are the latest capabilities in MATLAB & Simulink to help accelerate development?
- How can you get started?
Block#2: The AI data journey: A wireless example
- Learn how AI is being leveraged to solve complex wireless problems,
- How MathWorks tools can accelerate generation of training data and image processing, and
- How MATLAB can be used to automate a complex system and transition to a Model-based design approach
Block#3: Digital transformation: Cloud, collaboration & DevOps
- Accessing data in the cloud
- Using MathWorks tools in the cloud
- Scaling interactive workflows using the cloud
- Deploying scalable solutions in the cloud
- Collaboration, Version Control & DevOps
About the Presenters
Steven Thomsett is an application engineer at MathWorks, specialising in signal processing and computer vision applications, with an interest in the transition from algorithm development to hardware implementation. Prior to joining MathWorks in 2011, Steven worked on radar system analysis, modelling, and algorithm development at QinetiQ. During this time, he led the algorithm and modelling team in the adoption and implementation of Model-Based Design for a new radar system, generating code from MATLAB and Simulink® for real-time deployment.
Nadia Shivarova is an application engineer with MathWorks, based in Glasgow, UK where she focuses on wireless products such as 5G NR, LTE, WLAN, Antenna and RF. She joined the company in 2016 as a quality engineer for HDL products. She holds a MEng in Electronic and Electrical Engineering from Strathclyde University, Glasgow.
Lewis Lea is an application engineer at MathWorks, working across a broad range of applications, with a focus on machine learning, computer vision and software deployment. Before joining MathWorks in 2020, Lewis performed statistical mechanics and materials physics research at the University of Cambridge, where he obtained his PhD, MSci and MA degrees.
This event is part of a series of related topics. View the full list of events in this series.