Barcelona, Spain

David Sanchez Charles

This inventor holds 7 USPTO granted patents and 4 published patent applications. Top assignee: Ca, Inc.. Active years: 2019-2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: David Sanchez Charles. Retrieved from https://idiyas.com/inventor/david-sanchez-charles

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 7 

% Patents Active = 85.7

Average Co-Inventor Count = 4.7

ph-index = 3

Forward Citations = 24(Granted Patents)


Company Filing History:


Years Active: 2019-2021

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7 patents (USPTO):Explore Patents

Title: David Sanchez Charles: Innovator in Network Optimization

Introduction

David Sanchez Charles is a prominent inventor based in Barcelona, Spain. He has made significant contributions to the field of network optimization, holding a total of 7 patents. His work focuses on utilizing advanced machine learning techniques to enhance the efficiency of network systems.

Latest Patents

One of his latest patents is titled "Efficient Machine Learning for Network Optimization." This invention describes an autonomous controller designed for software-defined networking (SDN), which can optimize networks automatically. The controller is capable of training models that identify the optimal data flow paths in real-time, adapting as the network scales. It processes network topology to assess the relative importance of nodes, thereby reducing the search space for machine learning models by selecting pivotal nodes based on their significance. When traffic transfer demands arise, the controller employs an AI model to determine the pivotal nodes for routing, ultimately deploying a routing configuration for efficient data transfer.

Another notable patent is "Multivariate Clustering-Based Anomaly Detection." This invention outlines a multivariate clustering-based anomaly detector that generates events for application performance management (APM) systems. The detector accumulates time-series data to create multivariate data slices and conducts clustering analysis to identify anomalies. It can generate detection events for known and unknown anomalies, enhancing the reliability of network systems.

Career Highlights

David Sanchez Charles is currently employed at CA Technologies, a company known for its innovative software solutions. His work at CA Technologies has allowed him to apply his expertise in machine learning and network optimization to real-world applications, contributing to the advancement of technology in this field.

Collaborations

Throughout his career, David has collaborated with talented professionals, including Victor Muntés-Mulero and Marc Sole Simo. These collaborations have fostered a creative environment that encourages innovation and the development of cutting-edge technologies.

Conclusion

David Sanchez Charles is a key figure in the realm of network optimization, with a strong portfolio of patents that reflect his innovative spirit. His contributions to machine learning and network efficiency continue to shape the future of technology.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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