This inventor holds 2 USPTO granted patents. Top assignee: Hewlett-Packard Development Company, L.p.. Active years: 2014.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2014
Title: The Innovative Mind of Sabastian Mittelstadt
Introduction
Sabastian Mittelstadt is a notable inventor based in Constance, Germany. He has made significant contributions to the field of data visualization and analysis, holding 2 patents that showcase his innovative approach to complex data representation.
Latest Patents
Mittelstadt's latest patents include a method for providing an ellipsoid that has a characteristic based on local correlation of attributes. This invention involves grouping data records into clusters according to their attributes, merging clusters that meet a proximity criterion, and creating an ellipsoid for presentation in a scatter plot visualization. The ellipsoid is designed to represent multiple corresponding data records, with its characteristics adjusted based on the direction of local correlation. Another patent focuses on placing temporally aligned and variably sized pixels in discrete rings within a graphical visualization. This method allows for the representation of data points across time intervals, with pixels sized according to the number of data points in respective time periods.
Career Highlights
Mittelstadt is currently employed at Hewlett-Packard Development Company, L.P., where he continues to develop innovative solutions in data visualization. His work has garnered attention for its practical applications in various industries.
Collaborations
Some of his notable coworkers include Ming C. Hao and Umeshwar Dayal, who have collaborated with him on various projects, contributing to the advancement of their shared goals in technology and innovation.
Conclusion
Sabastian Mittelstadt exemplifies the spirit of innovation through his patents and contributions to data visualization. His work not only enhances the understanding of complex data but also paves the way for future advancements in the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
