Stuttgart, Germany

Nestor Acuna Blanco

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: International Business Machines Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Nestor Acuna Blanco. Retrieved from https://idiyas.com/inventor/nestor-acuna-blanco

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

Calculating rank
USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Nestor Acuna Blanco and Patent Innovation in Task Prioritization

Introduction

Nestor Acuna Blanco is an inventor associated with Stuttgart, Germany, and International Business Machines Corporation. His patent work addresses how dependent tasks can be prioritized according to their likelihood of failure.

Latest Patents

Acuna Blanco is associated with 1 patent: “Prioritization of Dependent Tasks Based on Error Rates.” The invention describes a method that uses task identifiers, failure values, and dependency data to build a probabilistic model represented by a directed acyclic graph. Each task corresponds to a node, while dependencies between tasks are represented by edges that indicate conditional probabilities related to failure rates per unit of time. The method calculates a posterior marginal probability of failure for each task and uses those probabilities to select a sequence of tasks likely to fail fastest.

Career Highlights

Acuna Blanco’s listed patent reflects an application of probabilistic modeling to task management. By estimating failure likelihood across dependent tasks, the method can help identify which tasks may require attention first.

Collaborations

Acuna Blanco is associated with International Business Machines Corporation. His listed coworker is Radu Marinescu.

Conclusion

Nestor Acuna Blanco’s patent focuses on using dependency data and failure probabilities to prioritize tasks, highlighting a practical approach to identifying potential failures in complex systems.

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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