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Chad Hawthorne

About Me

Chad Hawthorne is a principal investigator and autonomy researcher at JHU/APL and has 20 years’ experience developing autonomy software for unmanned maritime systems. At APL, he oversees a research team that focuses on delivering autonomy and sensing solutions for our nation’s submarine and unmanned platforms. He began his career developing multi-vehicle control for DoD applications and completed some of the first development efforts on heterogeneous swarms of unmanned systems for ISR applications. Hawthorne has also served as the principal investigator for JHU/APL’s simulation-based AI T&E efforts.

Education & Industry Experience

In addition to his research interests, Hawthorne was the autonomy lead for Navy UUV acquisition programs where he worked closely with industry and government leaders to define autonomy standards for the emerging unmanned undersea vehicle fleet. He also has served on the CNO’s UUV advisory committee, where he worked with senior leaders on advancing undersea technology through UUV experimentation and testing. Hawthorne holds a BS in computer science from Virginia Tech and an MS in computer science from Johns Hopkins University.

MY COURSES

Human head with a luminous brain network. Digital brain, Analysis information, Cyber mind, Deep and Machine learning, Consciousness, Artificial intelligence, Technology background concept.

Assurance of AI Enabled Systems

This workshop introduces state-of-the-art methods for developing testing and evaluation plans for AI-driven systems and addresses novel challenges these systems present.

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