Sant Feliu de Llobregat, Spain

Victor Muntés-Mulero

This inventor holds 8 USPTO granted patents and 5 published patent applications. Top assignee: Ca, Inc.. Active years: 2018-2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Victor Muntés-Mulero. Retrieved from https://idiyas.com/inventor/victor-muntés-mulero

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

USPTO Granted Patents = 8 

% Patents Active = 87.5

Average Co-Inventor Count = 3.4

ph-index = 2

Forward Citations = 15(Granted Patents)


Location History:

  • Barcelona, ES (2018 - 2019)
  • Saint Feliu de Llobregat, ES (2020)
  • Sant Feliu de Llobregat, ES (2020 - 2021)

Company Filing History:


Years Active: 2018-2021

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8 patents (USPTO):Explore Patents

Title: Victor Muntés-Mulero: Innovator in Network Optimization and Anomaly Detection

Introduction

Victor Muntés-Mulero is a prominent inventor based in Sant Feliu de Llobregat, Spain. He has made significant contributions to the fields of machine learning and network optimization, holding a total of eight patents. His work focuses on developing innovative solutions that enhance the efficiency and reliability of network systems.

Latest Patents

One of Victor's 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 trains models to determine the optimal path for data flow between nodes in a network. 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 utilizes an AI model to identify pivotal nodes for routing, ultimately determining a path that includes these nodes and deploying the necessary routing configuration.

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 form multivariate data slices and performs clustering analysis to identify anomalies. If a data slice falls within a known anomaly cluster, the detector generates an event indicating the detection of that anomaly. Additionally, it can identify unknown anomalies by determining if a data slice belongs to an unknown cluster.

Career Highlights

Victor Muntés-Mulero currently works at CA, Inc., where he continues to innovate in the realm of network technologies. His expertise in machine learning and network optimization has positioned him as a key player in the industry. His contributions have not only advanced the field but have also provided practical solutions for real-world networking challenges.

Collaborations

Victor collaborates with talented professionals such as David Sanchez Charles and Smrati Gupta. These partnerships enhance the innovative capacity of his projects and contribute to the development of cutting-edge technologies.

Conclusion

Victor Muntés-Mulero is a distinguished inventor whose work in network optimization and anomaly detection has made a significant impact in the technology sector. His patents reflect a commitment to advancing machine learning applications in networking, showcasing his role as a leader in innovation.

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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