Hyderabad Telangana, India

Vikas Agrawal

USPTO Granted Patents = 6 

Average Co-Inventor Count = 4.4

ph-index = 2

Forward Citations = 12(Granted Patents)


Location History:

  • Santa Clara, CA (US) (2015 - 2020)
  • Hyderabad, IN (2022)
  • Telangana, IN (2022 - 2024)

Company Filing History:


Years Active: 2015-2024

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6 patents (USPTO):Explore Patents

Title: Vikas Agrawal: Innovator in Data Systems

Introduction

Vikas Agrawal is a prominent inventor based in Hyderabad, Telangana, India. He has made significant contributions to the field of data systems, holding a total of six patents. His innovative work focuses on identifying causal relationships within time series data, which has important implications for various industries.

Latest Patents

One of Vikas Agrawal's latest patents is a method for identifying regulator and driver signals in data systems. This method involves accessing a hierarchy of nodes in a data structure, where each node contains a time series of data. The process includes identifying a subset of nodes that may have causal relationships in their corresponding time series. Furthermore, the method generates a model for each subset of nodes, producing coefficients that indicate the strength of causal effects among them. Finally, it generates a ranked output of nodes that causally affect a specific node within the subset.

Career Highlights

Vikas Agrawal has worked with notable companies such as Oracle International Corporation and Apple Inc. His experience in these leading technology firms has allowed him to refine his skills and contribute to groundbreaking innovations in data analysis and systems.

Collaborations

Some of Vikas Agrawal's coworkers include Manisha Gupta and Ananth Venkata. Their collaboration has likely fostered an environment of creativity and innovation, leading to advancements in their respective fields.

Conclusion

Vikas Agrawal's work in identifying causal relationships in data systems showcases his expertise and commitment to innovation. His contributions are paving the way for future advancements in data analysis and technology.

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