Wellington, New Zealand

Michael John Hornsby


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 7(Granted Patents)


Company Filing History:


Years Active: 2009

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1 patent (USPTO):Explore Patents

Title: Michael John Hornsby: Innovator in Data Visualization

Introduction

Michael John Hornsby is a notable inventor based in Wellington, New Zealand. He has made significant contributions to the field of data visualization, particularly in the context of contact centers. His innovative approach has led to the development of a unique system that enhances the way data is represented and understood.

Latest Patents

Hornsby holds a patent for a "Contact center data visualization system and method." This invention includes a data visualization system featuring a data value memory that maintains a finite set of data values. Each data value is associated with at least one time value. The system is designed to display representations of each data value centered on respective data points. Additionally, it incorporates a contour generator that creates and displays a contoured representation around each data point, ensuring that each point is displayed as a local maximum. The invention encompasses both a data visualization method and a computer program for data visualization.

Career Highlights

Michael John Hornsby is currently employed at Bally Technologies, Inc., where he continues to innovate and develop new technologies. His work has been instrumental in advancing the capabilities of data visualization in various applications.

Collaborations

Throughout his career, Hornsby has collaborated with talented individuals such as Andrew John Cardno and Grant Frederick Margison. These partnerships have contributed to the success of his projects and the advancement of technology in his field.

Conclusion

Michael John Hornsby is a distinguished inventor whose work in data visualization has made a significant impact. His innovative patent and contributions to Bally Technologies, Inc. highlight his dedication to enhancing the understanding of complex data.

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