The University of Massachusetts Amherst
University of Massachusetts Amherst

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MIE Seminar Series: "Defense is for Innovators"

Date/Time: 

Friday, October 9, 2020 - 10:00am

Presenter: 

Dr. Patrick Mead, General Dynamics Mission Systems

Location: 

ZOOM

Details: 

Abstract:

Dr. Mead will provide a general overview of his career and experience working and conducting research in the Defense industry as a civilian engineer and contractor. In particular, he will provide examples from his work on Human Computer Interaction (HCI) and Augmented/Virtual Reality as an example of how his career in Defense allowed his work to evolve with changes in his interests and goals. Finally, he will provide what he sees as the career opportunities and lessons learned from his career in Defense, and suggestions for how to pursue innovation in or outside the Defense industry.

Biography

Dr. Mead obtained his Ph.D. in Human Factors and Applied Cognition from George Mason University in 2017 with focuses in Visual Cognition and Design of Autonomous Systems. He completed his Bachelors and Masters in Industrial and Systems Engineering from Virginia Tech in 2008 and 2009 focusing on Human Computer Interaction. Dr. Mead began his career at the Naval Surface Warfare Center Dahlgren Division, where he eventually became the lead scientist for the Dahlgren Mixed, Augmented, and Virtual Reality Combat (MAVRC) Systems lab which conducts basic and applied research to identify the ways in which MR, AR, and VR can enhance military design, training, and operational systems and processes. In 2019, Dr. Mead joined General Dynamics Mission Systems as the User Experience Lead helping to lead the design of mission critical command and control systems that will be used in land, surface, and submarine platforms. Over the past 13 years Dr. Mead has led and supported a variety of S&T efforts focusing on Human Performance and Human Computer Interaction ranging from how an individual’s epigenetics affects their performance on spatial navigation to how Artificial Intelligence (AI) and Autonomous Systems can be designed to become functional members of teams comprised of both humans and unmanned systems.