Artificial Intelligence: How to Upskill and Prepare Future Engineers

Overview

Artificial Intelligence (AI) is driving a massive change in the way engineers, scientists, and programmers develop and improve products and services. All engineering fields today use AI in one form or another, and many of today's industrial challenges call for engineers prepared to incorporate AI into their workflows. Find out how MathWorks tools empower engineers, including those with minimal AI experience, to develop better systems that use AI workflows. Additionally, we will discuss how to accelerate the incorporation of AI in engineering courses.

You will walk away from this session to understand better how a constant dialogue between industry and academia can prepare engineers for the AI megatrend.

Highlights

In this webinar you will learn how to:

• Use interactive documents to improve student engagement
• Use apps to empower your students to solve complex problems
• Leverage existing content created by experts
• Find project ideas for your students

About the Presenters

Gaby Arellano Bello is a senior customer success engineer at MathWorks. In this role, she partners with universities and colleges to understand their technical and business challenges, identify how MathWorks products can help address their challenges in education and research, and demonstrate the value of MATLAB and Simulink to grow their adoption in innovative curriculum and research projects. She obtained her undergraduate degree in mechanical engineering from the Experimental University of Táchira (Venezuela). She earned her master's degree in biological systems engineering from the University of Nebraska, where she worked as a research assistant.

María Elena Gavilán is a technical marketing manager for education and research at MathWorks. Maria uses her technical expertise to support projects that seek to increase the use and adoption of MATLAB and Simulink in academic and research institutions worldwide. María has extensive experience in numerical simulation projects in the automotive and aerospace industries, particularly in aerodynamics, aeroacoustics, and control systems. Maria also has previous industrial experience in computer vision. Her areas of interest currently focus on autonomous vehicles and flight dynamics and control. María received her undergraduate degree in physics from the National University of Colombia, her master’s degree in aerospace engineering from Purdue University, and her MBA from the University of Illinois.