This inventor holds 4 USPTO granted patents. Top assignees: Microsoft Technology Licensing, LLC, Thomson Licensing. Active years: 2016-2020.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2016-2020
Title: The Innovations of Aleksandar Nikolov
Introduction
Aleksandar Nikolov is a prominent inventor based in New York, NY (US). He has made significant contributions to the field of data privacy and has been awarded 4 patents for his innovative work. His research focuses on developing methods that protect the privacy of data while allowing for effective querying.
Latest Patents
One of his latest patents is titled "Differentially Private Linear Queries on Histograms." This invention addresses the privacy concerns associated with linear queries on histograms. The method involves querying a database containing private data and performing base decomposition to compute an orthonormal basis for the database space. By utilizing correlated (or Gaussian) noise and/or least squares estimation, the invention generates answers that maintain differential privacy. The patent outlines various implementations, including those that handle dense and sparse data differently, ensuring robust privacy protection.
Career Highlights
Throughout his career, Aleksandar has worked with notable companies such as Microsoft Technology Licensing, LLC and Thomson Licensing. His experience in these organizations has allowed him to refine his skills and contribute to significant advancements in data privacy technologies.
Collaborations
Aleksandar has collaborated with esteemed colleagues, including Li Zhang and Kunal Talwar. These partnerships have fostered a collaborative environment that encourages innovation and the sharing of ideas.
Conclusion
Aleksandar Nikolov's work in the field of data privacy is both impactful and essential in today's data-driven world. His inventions continue to pave the way for advancements in protecting sensitive information while enabling effective data analysis.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

