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For the Inventor, By the Inventor

Woodinville, WA, United States of America

Carlo Aldo Curino

This inventor holds 19 USPTO granted patents and 14 published patent applications and 4 EPO patents, primarily in Data Processing Optimization. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2017-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Carlo Aldo Curino. Retrieved from https://idiyas.com/inventor/carlo-aldo-curino

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

Calculating rank
USPTO Granted Patents = 19 

% Patents Active = 100.0

 

Average Co-Inventor Count = 5.8

ph-index = 2

Forward Citations = 8(Granted Patents)


Location History:

  • San Jose, CA (US) (2017 - 2018)
  • Sunnyvale, CA (US) (2022)
  • Woodinville, WA (US) (2021 - 2024)

Company Filing History:

goldMedal19 out of 56,318 
 
Microsoft Technology Licensing, LLC
 patents

Years Active: 2017-2026

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Areas of Expertise:
Query Workloads
Data Infrastructures
Machine Learning
Scalable Processing
Cloud Optimization
Resource Optimization
Provenance Information
Geo-Scale Analytics
Graph Analysis
Performance Evaluation
Cluster Servicing
19 patents (USPTO):Explore Patents
1. 12632429 - Characterizing and forecasting evolving query workloads (2026-05-19),
2. 12579120 - Tuning large data infrastructures (2026-03-17),
3. 12541529 - Efficient extraction of provenance information from database query execution logs (2026-02-03),
4. 12277123 - System and method for performing query operations on run length encoded data (2025-04-14),
5. 12277122 - System and method for accelerating query execution (2025-04-14),
6. 12242493 - Query processing with machine learning (2025-03-04),
7. 12197405 - Characterizing and forecasting evolving query workloads (2025-01-14),
8. 12182117 - System and method for scalable data processing operations (2024-12-31),
9. 12013853 - Cloud based query workload optimization (2024-06-18),
10. 11934874 - Resource optimization for serverless query processing (2024-03-19),
11. 11880347 - Tuning large data infrastructures (2024-01-23),
12. 11829359 - System and method for scalable data processing operations (2023-11-28),
13. 11816364 - Performance evaluation of an application based on detecting degradation caused by other computing processes (2023-11-14),
14. 11455192 - Resource optimization for serverless query processing (2022-09-27),
15. 11429609 - Geo-scale analytics with bandwidth and regulatory constraints (2022-08-30),

Title: Innovations of Carlo Aldo Curino

Introduction

Carlo Aldo Curino is a prominent inventor based in Woodinville, WA (US). He has made significant contributions to the field of computer science, particularly in optimizing query execution in parallel processing systems. With a total of 16 patents to his name, Curino's work has had a substantial impact on data processing technologies.

Latest Patents

Curino's latest patents include a "System and method for accelerating query execution" and a "System and method for performing query operations on run length encoded data." The first patent describes a method, computer program product, and computing system designed to optimize query operations on run length encoding (RLE) data. This innovation allows for the efficient execution of queries by prioritizing the processing of RLE data columns over non-RLE data columns. The second patent focuses on processing query operations on RLE data without the need for decompression, further enhancing the efficiency of data handling in parallel processing systems.

Career Highlights

Curino is currently associated with Microsoft Technology Licensing, LLC, where he continues to develop innovative solutions in data processing. His expertise in query optimization has positioned him as a key figure in advancing technologies that support large-scale data analysis.

Collaborations

Throughout his career, Curino has collaborated with notable colleagues such as Rathijit Sen and Subramaniam Venkatraman Krish

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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