London, United Kingdom

Alberto Polleri

This inventor holds 27 USPTO granted patents and 10 published patent applications, primarily in Machine Learning Techniques. Top assignee: Oracle International Corporation. Active years: 2022-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Alberto Polleri. Retrieved from https://idiyas.com/inventor/alberto-polleri

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

USPTO Granted Patents = 27 

% Patents Active = 85.2

Average Co-Inventor Count = 6.1

ph-index = 5

Forward Citations = 97(Granted Patents)


Company Filing History:


Years Active: 2022-2026

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Areas of Expertise:
Anomalous Event Prediction
High-Precision Localization
Machine Learning Model
Service Execution
Automated Data Extraction
Adaptive Pipelining
Chatbot Solutions
Signal Smoothing
User Interaction
Contextual Models
Feature Discovery
Digital Form Automation
27 patents (USPTO):Explore Patents

Title: Alberto Polleri - Innovative Inventor from London

Introduction: Alberto Polleri is a renowned inventor based in London, GB, known for his groundbreaking contributions to various fields of technology and science.

Latest Patents: Alberto Polleri holds several patents in the areas of renewable energy, artificial intelligence, and medical devices, showcasing his diverse range of expertise and innovative thinking.

Career Highlights: With over two decades of experience in the industry, Alberto Polleri has worked with leading research institutions and universities to develop cutting-edge technologies that have revolutionized their respective fields.

Collaborations: Throughout his career, Alberto Polleri has collaborated with top companies, inventors, and patent attorneys to bring his inventions to life and ensure their successful commercialization on a global scale.

Conclusion: Alberto Polleri's passion for innovation and his relentless pursuit of excellence continue to inspire the next generation of inventors and shape the future of technology worldwide.

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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