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Integrating Cyber Security and Machine Learning for Applications in Transportation Systems

Inside Livermore Lab via YouTube

Overview

Explore the intersection of cybersecurity and machine learning in transportation systems through this insightful conference talk from the Women in Data Science (WiDS) Livermore 2024 datathon. Delve into Dr. Bhavani Thuraisingham's presentation on "Integrated Cyber Security and Machine Learning for Applications in Transportation Systems," where she discusses the challenges of applying machine learning techniques from healthcare, finance, manufacturing, and cybersecurity to address security issues in transportation. Gain valuable insights into her team's research on securing the Internet of Transportation systems and current work in Intelligent Transportation Systems Security. Learn about Dr. Thuraisingham's extensive 43-year career spanning industry, government, and academia, and her significant contributions to the field, including numerous publications, patents, and books. Discover how this talk bridges the gap between data science, cybersecurity, and transportation, offering a unique perspective on the future of secure and intelligent transportation systems.

Syllabus

WiDS Livermore 2024 | Integrating Cyber Security and Machine Learning for App in Transportation Sys.

Taught by

Inside Livermore Lab

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