Detecting Cancers, Coordinating Traffic Lights and Failure Analysis on Large Machines

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About This Webinar

The Wolfram Technology in Action: Engineering webinar series brings you first-hand experience from industry-leading innovators about how they have taken advantage of the Wolfram Language and System Modeler to solve their complex engineering challenges.

In this webinar, you'll discover how Wolfram technologies can help speed up your engineering workflows from brief to deployment. Rather than having a disparate collection of specialised systems, Wolfram technologies provide a single, unified, multiparadigm workflow for rapid prototyping, modelling, simulation, optimisation and solving complex calculations across all engineering specialisms.

As well as hearing from expert users of the Wolfram Language, you'll also get the opportunity to get (virtually) face-to-face with the makers of the software to see how Wolfram can help with your engineering challenges.

Agenda

Revolutionising Cancer Diagnosis with AI and Machine Learning
Coordinating Traffic Lights
Rapidly Building and Verifying Hardware Control Systems

Presenters

Melvin Friedman

Academic Affiliate–George Mason University, Department of Electrical and Computer Engineering

Dr. Friedman received his PhD in physics from Carnegie Mellon University in 1969 for work done in nuclear physics and subsequently received MS degrees in computer science (1981) and electrical engineering (1983) from Johns Hopkins University.

Dr. Friedman is currently an academic affiliate of George Mason University, where he is developing a method for coordinating traffic signals so that motorists, bicyclists and pedestrians can make almost every traffic signal.

Kareem Ahmed

Technical Consultant

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