Stanford, CA, United States of America

Berivan Isik

USPTO Granted Patents = 1 

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Berivan Isik – Innovating Volumetric Data Compression

Introduction

Berivan Isik, based in Stanford, CA, is a pioneering inventor known for her innovative contributions in the field of volumetric data compression. With a focus on enhancing the efficiency of data handling, her work at Google Inc. has led to significant advancements in the management of complex datasets.

Latest Patents

Isik holds a patent for "Learned volumetric attribute compression using coordinate-based networks." This innovative patent outlines methods and systems designed for compressing attributes of volumetric and hypervolumetric datasets. The patent details operations that include obtaining a reference dataset with attributes indexed by multidimensional coordinates, subdividing this domain into blocks associated with attribute subsets, and utilizing a local nonlinear operator to achieve efficient data representation.

Career Highlights

Throughout her career, Berivan has consistently pushed the boundaries of technology. Working with a talented team at Google Inc., she has played a crucial role in developing advanced methodologies for data compression. Her unique approach has not only expanded the capabilities of data processing but has also opened new avenues in the field of machine learning and artificial intelligence.

Collaborations

Isik has collaborated with notable colleagues such as Philip Andrew Chou and Sung Jin Hwang, bringing together diverse expertise to refine and enhance her innovative solutions. These collaborations exemplify the spirit of teamwork and innovation that characterizes the research environment at Google Inc.

Conclusion

Berivan Isik stands out as a key figure in the realm of data compression technology. Her groundbreaking patent and collaborative work reflect her dedication to innovation, setting a benchmark for future advancements in how we handle and interpret volumetric datasets. Through her efforts, Isik continues to contribute to the evolution of technology at Google Inc. and beyond.

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