San Francisco, CA, United States of America

Daniel Belov

USPTO Granted Patents = 19 

Average Co-Inventor Count = 3.1

ph-index = 6

Forward Citations = 163(Granted Patents)


Location History:

  • Pittsburgh, PA (US) (2006 - 2021)
  • London, GB (2022 - 2023)
  • San Francisco, CA (US) (2010 - 2024)

Company Filing History:


Years Active: 2006-2025

where 'Filed Patents' based on already Granted Patents

19 patents (USPTO):

Title: The Innovative Journey of Daniel Belov in the World of Patents

Introduction

Daniel Belov, an accomplished inventor based in San Francisco, CA, has made significant contributions to the field of technology through his inventive spirit and expertise. With a remarkable portfolio of 18 patents, he has developed innovative solutions that are both transformative and practical, impacting various domains in technology.

Latest Patents

Among his latest inventions, Daniel's patent for "Selective Presentation of Content Types and Sources in Search" showcases his ability to enhance digital search experiences. This innovation involves receiving a search query, identifying corresponding potential search results, and strategically incorporating user-generated content based on scoring to provide tailored search results. Additionally, his work on "Iterative Multiscale Image Generation Using Neural Networks" focuses on generating high-resolution images through a sophisticated method of upscaling low-resolution images using convolutional neural networks, ensuring high quality and detail in visual outputs.

Career Highlights

Daniel Belov's career is marked by notable tenures at leading technology companies. He honed his skills at Google Inc., where he was part of groundbreaking projects that shaped the future of digital technology. He also contributed to Panasas, Inc., engaging in innovative storage solutions. His experience at these prestigious companies has been pivotal in his development as an inventor.

Collaborations

Throughout his career, Daniel has collaborated with influential figures such as David Konerding and Jordan M. Breckenridge. These collaborations have fueled his creativity and allowed him to think innovatively, leading to the successful patents he holds today.

Conclusion

Daniel Belov stands out not only for his extensive patent portfolio but also for his contributions to enhancing technology through innovative solutions. His work continues to inspire many in the realms of searching algorithms and image generation, marking him as a key player in the current landscape of technological advancement.

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