Cordoba, Argentina

Lucas Federico Ledesma

This inventor holds 1 USPTO granted patent. Top assignee: B.yond, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Lucas Federico Ledesma. Retrieved from https://idiyas.com/inventor/lucas-federico-ledesma

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

Calculating rank

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Lucas Federico Ledesma: Inventor in Adaptive Network Trace Analysis

Introduction

Lucas Federico Ledesma is an inventor based in Córdoba, Argentina. His patent work includes an adaptive approach to analyzing network traces by comparing communication flows with a reference dataset and improving predictions through feedback.

Latest Patents

Ledesma is associated with one patent: Adaptive Network Trace Analysis Using Reference Communication Flows. The invention stores reference communication flows, along with their features and labels, for comparison with a query communication flow. It preprocesses and correlates network packets, extracts features, and identifies similar reference examples to estimate candidate labels and their likelihood of being correct. Feedback on those predictions is then used to update the reference dataset, helping reduce manual analysis and improve future results. Ledesma is credited with 1 patent.

Career Highlights

Ledesma is associated with B.yond, Inc. His patent reflects work on applying adaptive data comparison and feedback to network trace analysis.

Collaborations

The supplied information lists Martin Dallaire and Pierre Moufarrege as Ledesma’s coworkers. The patent description focuses on the adaptive analysis method and does not specify their roles in its development.

Conclusion

Lucas Federico Ledesma’s patent presents a feedback-driven method for making network trace analysis less dependent on time-consuming manual operations while improving predictions over time.

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]
Loading…