Pittsburgh, PA, United States of America

Rose Amalia Ciriello

This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Ford Global Technolgoies, LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Rose Amalia Ciriello. Retrieved from https://idiyas.com/inventor/rose-amalia-ciriello

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

USPTO Granted Patents = 2 

% Patents Active = 100.0

Average Co-Inventor Count = 5.8

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2026

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2 patents (USPTO):Explore Patents

Title: Rose Amalia Ciriello: Patents in Machine Learning and Vehicle Displays.

Introduction

Rose Amalia Ciriello is an inventor associated with Pittsburgh, Pennsylvania, and Ford Global Technologies, LLC. Her patent portfolio includes two patents focused on machine learning and vehicle display technology.

Latest Patents

Ciriello’s patent titled “Neural network” describes a computer system that plots three-dimensional positions of labeled cuboids across frames in a video sequence. It can create a sparsely labeled sequence by removing cuboids near a line between their positions in two keyframes, producing data for training a machine-learning system.

Her other listed patent, “Vehicle passenger display screen with graphical user interface,” concerns display technology and a graphical interface for vehicle passengers.

Career Highlights

Ciriello’s work reflects innovation across artificial intelligence and automotive user interfaces. Her record includes 2 patents and is associated with Ford Global Technologies, LLC.

Collaborations

Her listed coworkers include MD Avishek Ahmed and Madhav Chhura, reflecting a collaborative environment connected to her patent work.

Conclusion

Rose Amalia Ciriello’s patents span machine-learning data preparation and passenger-facing vehicle displays, highlighting her contributions to technology in both fields.

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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