This inventor holds 1 USPTO granted patent. Top assignee: Carnegie Mellon University. Active years: 2017.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2017
Title: Innovations by Jeffrey M Rzeszotarski
Introduction
Jeffrey M Rzeszotarski is an accomplished inventor based in Chesterland, OH (US). He has made significant contributions to the field of data visualization through his innovative methods and software. His work focuses on applying physics-based tools to enhance the interaction and exploration of data.
Latest Patents
Rzeszotarski holds a patent for "Methods and software for visualizing data by applying physics-based tools to data objectifications." This patent describes methods and corresponding software that enable users to manipulate and interactively explore data intuitively. The software allows users to objectify data and apply simulated physical tools to enhance their understanding of various data types, including multivariate and network data. The methods include displaying user-selected charts, such as histograms and scattergrams, where objectified data points are attracted to their proper locations. Users can also apply multiple simulated physical tools, leaving visual traces of their data manipulations.
Career Highlights
Rzeszotarski is affiliated with Carnegie Mellon University, where he continues to contribute to research and development in data visualization. His innovative approach has garnered attention in academic and professional circles, showcasing the potential of physics-based tools in data analysis.
Collaborations
Rzeszotarski has collaborated with Aniket Kittur, further enhancing the impact of his work in the field of data visualization.
Conclusion
Jeffrey M Rzeszotarski's contributions to data visualization through his innovative methods and software demonstrate the importance of integrating physics-based tools in data analysis. His work continues to influence the way users interact with and understand complex data sets.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
