Oak Hill, VA, United States of America

John Shortle

This inventor holds 1 USPTO granted patent. Top assignee: George Mason University. Active years: 2020.


% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Innovations by John Shortle in Aircraft Approach Stability

Introduction

John Shortle is an accomplished inventor based in Oak Hill, VA (US). He has made significant contributions to the field of aviation through his innovative patent that addresses the complexities of aircraft approach stability. His work is particularly relevant in the context of modern aviation, where traditional methods of predicting aircraft trajectories often fall short.

Latest Patents

John Shortle holds a patent for a "Method and apparatus for probabilistic alerting of aircraft unstabilized approaches using big data." This invention leverages Big Data Analytics to enhance the prediction of aircraft trajectories during critical phases of flight. Traditional kinematic models struggle with the intricacies of approach maneuvers, including factors such as flaps, landing gear, and air traffic control vectors. By utilizing massive datasets from numerous flights, Shortle's method can nowcast approach stability effectively before the crucial 1000'/500' checkpoints.

Career Highlights

Shortle is affiliated with George Mason University, where he applies his expertise in aviation and data analytics. His role at the university allows him to engage in cutting-edge research and contribute to advancements in aviation safety and efficiency. His innovative approach has garnered attention in both academic and industry circles.

Collaborations

John Shortle has collaborated with notable colleagues, including Lance C. Sherry and Zhenming Wang. These partnerships have facilitated the development of advanced methodologies in aviation safety and operational efficiency.

Conclusion

John Shortle's contributions to aviation through his innovative patent demonstrate the importance of integrating Big Data Analytics into traditional flight safety measures. His work not only enhances the safety of aircraft approaches but also sets a precedent for future innovations in the field.

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