AI Certification for Avionics

Overview

AI Certification has been a major challenge in the aerospace industry due to safety critical assets. To accommodate for the advancement with AI solutions, the conventional V-cycle has been adapted into a W-cycle for system validation & certification.

In this focused webinar, we will uncover:

1. The workflow details for certifying an AI algorithm along with a DAL-D compliant Certifiable Airborne Deep Learning System Example.
2. How MATLAB & Simulink based automated applications adapt to the W-cycle to drive certification for safety critical applications in aerospace.

About the Presenter

Peeyush Pankaj| Sr. Application Engineer | MathWorks

Peeyush is a senior application engineer at MathWorks, where he promotes MATLAB products for data science. He works closely with customers in the areas of predictive maintenance, digital twins, enterprise integration, and big data. Peeyush has over 11 years of industry experience with a strong background in aviation. Prior to joining MathWorks, he worked on aircraft engine design, testing, and certification. Peeyush holds a master’s degree in advanced mechanical engineering from the University of Sussex, UK. He has filed 25 patents on advanced jet engine technologies and prognostic health monitoring of aircraft engines.