Oxford, United Kingdom

Aditya Sharad

This inventor holds 1 USPTO granted patent. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2020.


% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2020

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1 patent (USPTO):Explore Patents

Title: Aditya Sharad: Innovator in Query Language Distribution Heuristics

Introduction

Aditya Sharad is a notable inventor based in Oxford, GB. He has made significant contributions to the field of computer science, particularly in the area of query language distribution heuristics. His innovative work has led to the development of methods and systems that enhance the efficiency of data processing.

Latest Patents

Aditya holds a patent for "Query language distribution heuristics - Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing local distribution heuristics." This patent describes a method that involves receiving an original expression containing a conjunction of a context term and a disjunction of multiple other terms. The context term and disjunction are evaluated using local distribution heuristics to identify the context term as a candidate for distribution across the disjunction. Consequently, a transformed expression is generated, distributing the candidate context term across the disjunction of the other terms. This innovative approach has the potential to improve the performance of query processing systems.

Career Highlights

Aditya is currently employed at Microsoft Technology Licensing, LLC, where he continues to work on advancing technology in the field of computer science. His expertise and innovative mindset have positioned him as a valuable asset to the company.

Collaborations

Aditya collaborates with talented individuals such as Alexander Eyers-Taylor and Michael Peyton Jones. Their combined efforts contribute to the development of cutting-edge technologies and solutions.

Conclusion

Aditya Sharad's contributions to query language distribution heuristics exemplify the impact of innovative thinking in technology. His work not only enhances data processing efficiency but also showcases the importance of collaboration in driving advancements in the field.

Profile summary based on public USPTO records.
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