Albuquerque, NM, United States of America

Christopher G Valicka


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Christopher G. Valicka: Innovator in Trajectory Prediction Technology

Introduction

Christopher G. Valicka, based in Albuquerque, NM, is a notable inventor recognized for his innovative contributions to trajectory prediction technology. With one patent to his name, Valicka has demonstrated a strong commitment to advancing the field of motion analysis and data processing.

Latest Patents

Valicka's patented technology is titled "Trajectory prediction via a feature vector approach." This patent encompasses various technologies that focus on extracting features from trajectory data that is recorded during the motion of a body. The process involves generating an n-dimensional feature vector based on the extracted features, which significantly enhances the analysis of trajectory data. By utilizing the n-dimensional feature vector, researchers and analysts can quickly compare trajectory information with specific search parameters, facilitating easier clustering of similar trajectory data. The innovative approach allows for the visualization of trajectory data combined with crucial information, utilizing graphical representations such as heat maps.

Career Highlights

Christopher G. Valicka is currently affiliated with Sandia National Laboratories, operating under National Technology & Engineering Solutions of Sandia, LLC. His work focuses on leveraging advanced analytical methods to contribute to various scientific and engineering challenges faced by the organization. Valicka's expertise in trajectory prediction aligns with the institution's commitment to innovation in technology and research.

Collaborations

Throughout his career, Valicka has collaborated with esteemed colleagues, including Mark Daniel Rintoul and Andrew T. Wilson. These partnerships highlight the collaborative spirit at Sandia National Laboratories, where interdisciplinary efforts are essential to driving technological advancements.

Conclusion

Christopher G. Valicka's work in trajectory prediction showcases the potential of innovative technologies to enhance data analysis in motion-related studies. His contributions not only reflect his ingenuity as an inventor but also represent a significant step forward in the field, fostering further exploration and development in trajectory analysis methods. As technology continues to evolve, Valicka's pioneering work will undoubtedly influence future advancements in data processing and analytics.

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