Igniting Ingenuity: Lab Insights with Rita Foster of Idaho National Labs

Join us March 11 for this Virtual Event.

Topic: Machine Learning/AI as related to Energy Systems

Part 1: What is AI/ML? Which ML concept is appropriate for data and purpose? INL’s Infrastructure Secure team adopted machine learning pillars to ensure explainable and trustworthy results. Overview of machine learning concepts linked to data, math, and purpose with examples from INL’s award winning Annotated Translated Disassembled Code (@DisCo) will be discussed.

Part 2: Who’s Who in the Zoo? Tired of dealing with AI vertigo? Leaders in AI/ML industry trends, use cases in the energy sector and changes in skill sets will be presented. This discussion will provide context to the AI/ML developments impacting critical infrastructure.

Rita Foster's current role at INL includes over 19 years of experience in cyber security of critical infrastructure identifying research aligned with strategic direction, providing capstone analysis, mentoring, and thought leadership in areas of protection and defense in the energy sector. She has managed multi-discipline teams bringing together controls system engineers, network engineers, cyber security researchers, machine learning, data scientists and subject matter experts for infrastructure security. Prior to her role in infrastructure security, Rita worked and additional 23 years building control systems and communication networks including life safety double and triple redundant systems.

Rita holds a Computer Information Systems Bachelor of Business Administration degree from Idaho State University; augmented with over 20 non-matriculated graduate level courses from University of Idaho.