Pittsburgh, PA, United States of America

Thomas Jeffrey Watson


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 15(Granted Patents)


Company Filing History:


Years Active: 2019

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1 patent (USPTO):Explore Patents

Title: Thomas Jeffrey Watson: Innovator in Autonomous Vehicle Cooling Systems

Introduction

Thomas Jeffrey Watson is an accomplished inventor based in Pittsburgh, PA (US). He has made significant contributions to the field of autonomous vehicle technology, particularly in the area of cooling systems for computing components.

Latest Patents

Watson holds a patent for a "Modular Vehicle Computing System Cooling System." This innovative patent describes devices, systems, and methods for cooling an autonomous vehicle computing system. The modular cooling device includes a cooling baseplate and one or more modular heat frames. The cooling baseplate features at least one planar cooling surface, an inlet for receiving a cooling fluid, an outlet, and at least one cooling channel connecting the inlet and outlet. This design allows the cooling fluid to flow effectively, providing necessary cooling to the planar cooling surface. Each modular heat frame is designed to house at least one component of the autonomous vehicle computing system, transferring heat from the housed component to the cooling baseplate.

Career Highlights

Watson is currently associated with Uatc, LLC, where he continues to innovate in the field of vehicle technology. His work focuses on enhancing the efficiency and performance of autonomous systems through advanced cooling solutions.

Collaborations

Watson has collaborated with notable colleagues, including David Patrick Rice and John William Zinn. Their combined expertise contributes to the development of cutting-edge technologies in the automotive sector.

Conclusion

Thomas Jeffrey Watson's contributions to the field of autonomous vehicle cooling systems exemplify his innovative spirit and dedication to advancing technology. His patent reflects a significant step forward in ensuring the efficiency and reliability of autonomous vehicle computing systems.

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