Company Filing History:
Years Active: 2021-2025
Title: Khoa Tan Nguyen: Innovator in Data Visualization and Aggregation
Introduction
Khoa Tan Nguyen is a prominent inventor based in Lund, Sweden, known for his significant contributions to the field of data science. With a total of nine patents to his name, Nguyen has developed innovative methods and systems that enhance the extraction and visualization of patterns in large-scale data sets. His work is instrumental in advancing how data is analyzed and interpreted in various applications.
Latest Patents
Nguyen's latest patents include "Methods and systems for extracting and visualizing patterns in large-scale data sets." This patent discloses systems and methods for receiving a data set comprising a plurality of data points and generating connections between these points. Based on these connections, groups are formed, and a visual analytic is created using geometrical shapes that correspond to these groups. Another notable patent is "Methods and systems for indexlet based aggregation," which provides methods for traversing a data model with multiple workers to generate virtual records. These records are evaluated by aggregators to determine hash values, enhancing the efficiency of data processing.
Career Highlights
Khoa Tan Nguyen is currently employed at Qliktech International AB, where he continues to push the boundaries of data analytics. His work at Qliktech has allowed him to collaborate with leading experts in the field, contributing to the company's reputation as a leader in data visualization and business intelligence solutions.
Collaborations
Nguyen has worked alongside talented colleagues such as Johan Nilsson and José Díaz López, fostering a collaborative environment that encourages innovation and creativity in data science.
Conclusion
Khoa Tan Nguyen's contributions to data visualization and aggregation are noteworthy, as he continues to innovate and inspire within the field. His patents reflect a deep understanding of complex data systems and a commitment to improving how data is utilized across various industries.