Nuremberg, Germany

Aldo Sedeno

This inventor holds 1 USPTO granted patent. Top assignee: Siemens Aktiengesellschaft. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Aldo Sedeno. Retrieved from https://idiyas.com/inventor/aldo-sedeno-vw30g049

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


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Aldo Sedeno and Machine-Learning-Based Milling Machine Monitoring.

Introduction

Aldo Sedeno is an inventor associated with Nuremberg, Germany, and Siemens Aktiengesellschaft. His patent work concerns applying machine learning to monitor milling machine operation and identify anomalies in operating data.

Latest Patents

The supplied information lists 1 patent for Aldo Sedeno: “Method and device for monitoring a milling machine.” The invention uses an initially untrained machine-learning model to collect time-series data, including milling-head rotational speed and another operating parameter. The model trains on data gathered while the machine is running, then analyzes subsequent data to detect anomalies during operation.

Career Highlights

Sedeno’s listed patent reflects an approach to industrial equipment monitoring that combines operational data collection, model training, and anomaly detection. The supplied information identifies Siemens Aktiengesellschaft as his company.

Collaborations

Marcel Rothering is identified as Sedeno’s coworker. The provided details do not specify their particular collaboration or respective roles in the patent.

Conclusion

Aldo Sedeno’s listed invention applies machine learning to detect unusual operating patterns in milling machines, connecting his patent work with industrial monitoring at Siemens Aktiengesellschaft.

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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