Company Filing History:
Years Active: 2005-2021
Title: Neil C Coffey: Innovator in Meteorological Monitoring and Vehicle Analysis
Introduction
Neil C Coffey is a distinguished inventor based in Hampton, VA (US). He has made significant contributions to the fields of meteorological monitoring and vehicle analysis, holding a total of 2 patents. His innovative work has the potential to enhance our understanding of weather patterns and improve vehicle performance monitoring.
Latest Patents
One of Coffey's latest patents is for a "High altitude UAV for monitoring meteorological parameters." This invention provides an airborne system designed to measure various meteorological parameters using a high altitude unmanned aerial vehicle (UAV) made from closed-cell polyurethane foam. The UAV features extendable wings that adjust as it climbs and descends, and it is equipped with infrasonic sensors to measure wind shear and other meteorological phenomena, including severe weather events.
Another notable patent is the "Tributary analysis monitoring system." This system is designed for a fleet of vehicles and includes data acquisition and analysis modules mounted on each vehicle. The system collects and analyzes sensor data to identify potential vehicle anomalies, providing valuable insights to organizations responsible for vehicle operation and maintenance.
Career Highlights
Coffey's career is marked by his role at the United States of America as represented by the Administrator of NASA. His work has focused on developing advanced technologies that address critical challenges in meteorology and vehicle performance.
Collaborations
Throughout his career, Coffey has collaborated with notable colleagues, including Stanley E Woodard and Bryant Douglas Taylor. These partnerships have contributed to the successful development of his innovative patents.
Conclusion
Neil C Coffey's contributions to the fields of meteorological monitoring and vehicle analysis demonstrate his commitment to innovation and technology. His patents reflect a deep understanding of complex systems and a desire to improve our ability to monitor and analyze critical data.