Company Filing History:
Years Active: 2011
Title: Innovations by Leonid Hrebien
Introduction
Leonid Hrebien is an accomplished inventor based in Valley Forge, PA (US). He has made significant contributions to the field of data analysis and statistics. His innovative approach focuses on enhancing the efficiency of indexed datasets.
Latest Patents
Hrebien holds a patent for an "Apparatus and method for removing non-discriminatory indices of an indexed dataset." This invention provides a device and method for removing non-discriminatory indices using ensemble statistics analysis. The device includes a data removal module designed to eliminate non-discriminatory indices. It may comprise a common characteristic removal module and/or a noise removal module. Additionally, the data analyzer may include normalization means for normalizing the indexed data. The method involves identifying and removing portions of the dataset that lack sufficient discriminatory power based on ensemble statistics. This includes steps for identifying and removing common characteristics and noise portions of the indexed data, as well as normalizing the data either before or after the removal process.
Career Highlights
Leonid Hrebien is affiliated with Drexel University, where he contributes to research and development in data analysis. His work has implications for various fields that rely on accurate data interpretation and analysis.
Collaborations
Hrebien has collaborated with notable colleagues, including Lit-Hsin Loo and Moshe Kam. Their combined expertise enhances the research output and innovation at Drexel University.
Conclusion
Leonid Hrebien's contributions to the field of data analysis through his innovative patent demonstrate his commitment to advancing technology. His work continues to influence the way indexed datasets are processed and analyzed.