This inventor holds 3 USPTO granted patents. Top assignee: Business Objects Software Limited. Active years: 2014-2017.
Company Filing History:
Years Active: 2014-2017
Title: Innovations of TianMin Huang
Introduction
TianMin Huang is a notable inventor based in Shanghai, China. He has made significant contributions to the field of data visualization and processing. With a total of 3 patents, his work focuses on enhancing the way data is represented and understood.
Latest Patents
One of his latest patents is titled "Identifying and abstracting the visualization point from an arbitrary two-dimensional dataset into a unified metadata for further consumption." This invention outlines a system and method for determining a set of visualization points from any given two-dimensional dataset to best describe a visual analytic. The process involves receiving user selections for a chart and analyzing a two-dimensional dataset to generate metadata that visualizes the dataset effectively.
Another significant patent is "Unified interface for display and modification of data arrays." This method provides a graphical user interface for displaying data arrays, where a hierarchical tree structure is constructed based on the nesting of data arrays. The arrangement of data elements is displayed according to this structure, enhancing user interaction with complex data sets.
Career Highlights
TianMin Huang is currently employed at Business Objects Software Limited, where he continues to innovate in the realm of data processing and visualization. His work has been instrumental in developing user-friendly interfaces that facilitate better data comprehension.
Collaborations
He has collaborated with notable coworkers such as Zhiyong Gong and Leo Chi-Lok Yu, contributing to various projects that aim to improve data visualization techniques.
Conclusion
TianMin Huang's contributions to data visualization through his patents and work at Business Objects Software Limited highlight his role as a key innovator in the field. His inventions continue to shape how data is processed and understood in modern applications.