Improving software quality in medical devices with code generation

Event Type Start Time End Time
Presented via Webex 16 Mar 2021 - 10:00 CET 16 Mar 2021 - 11:00 CET

Overview

Join this webinar to learn about embedded systems development for safety-critical medical devices by automating code generation. Our experts will demonstrate using practical examples how complex embedded systems can be created with Model-Based Design. With modelling and simulation, you can completely design your embedded system and deploy it on production hardware through optimised C, C++ and HDL code generation saving both development time and costs.

Highlights

  • Model-Based Design for embedded medical applications
  • Create efficient simulation models and partition them to be deployed onto heterogeneous systems such as System-On-Chips (SOCs)
  • Generate code automatically targeting MCUs, DSPs and FPGAs

Who Should Attend

  • Project Management
  • Software and Hardware Engineering
  • Quality Engineering
  • Testing and Verification

About the Presenters

Sébastien Dupertuis is an application engineer at MathWorks Switzerland. He works in the area of design automation with a focus on signal processing and code generation technologies targeting heterogeneous embedded systems. Sébastien held software engineering-related positions for over five years at Institut d’Automatisation Industrielle as well as Swissvoice in Switzerland. At Swissvoice, he was in charge of developing the audio part and the automatic testing framework for DECT phones. Sébastien graduated as a telecommunication engineer from La Haute Ecole d'Ingénierie et de Gestion du Canton de Vaud and as a physicist from the University of Geneva.

Mauro Fusco is an Application Engineer at MathWorks in Eindhoven. He specializes in supporting customers in Aerospace, Automotive and Machinery industries for the establishment of Design Automation workflows. Modelling, simulation, testing and implementation through automatic code generation whilst conforming to international standards are key aspects of his work. He is currently working on transferring this knowledge into the Medical Industry for safety critical applications. 

Before joining MathWorks, he worked for 5 years at the Dutch Organization for Applied Research, TNO, focussing on the domain of Controls for Cooperative and Autonomous Driving. Mauro has a Masters in Automation Engineering from the University of Naples Federico II, during which time he conducted research at Eindhoven University of Technology. His technical expertise lies in the areas of Control Theory, Nonlinear and Network Control and their implementation. He speaks fluent Italian and English.

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