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For the Inventor, By the Inventor

Lausanne, Switzerland

Andrea Di Pietro

This inventor holds 51 USPTO granted patents and 5 published patent applications and 12 EPO patents, primarily in Machine Learning Networks (CPC class H04L). Top assignee: Cisco Technology, Inc.. Active years: 2015-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Andrea Di Pietro. Retrieved from https://idiyas.com/inventor/andrea-di-pietro

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

USPTO Granted Patents = 51 

% Patents Active = 88.2

 

Average Co-Inventor Count = 3.0

ph-index = 15

Forward Citations = 789(Granted Patents)

Forward Citations (Not Self Cited) = 746(Dec 10, 2025)


Inventors with similar research interests:


Company Filing History:

goldMedal51 out of 21,399 
 
Cisco Technology, Inc.
 patents

Years Active: 2015-2026

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Areas of Expertise:
Network Assurance
Anomaly Detection
Predictive Insights
Machine Learning
Telemetry Data
Distributed Learning
Model Training
Privacy-Aware Systems
Behavioral White Labeling
Dynamic Clustering
Attack Detection
Data Fidelity
51 patents (USPTO):Explore Patents
1. 12580823 - On-premise machine learning model selection in a network assurance service (2026-03-17),
2. 11797883 - Using raw network telemetry traces to generate predictive insights using machine learning (2023-10-24),
3. 11397876 - Assessing data fidelity in a machine learning-based network assurance system (2022-07-26),
4. 11165656 - Privacy-aware model generation for hybrid machine learning systems (2021-11-02),
5. 11070441 - Model training for on-premise execution in a network assurance system (2021-07-20),
6. 11005728 - Designating a voting classifier using distributed learning machines (2021-05-11),
7. 10931692 - Filtering mechanism to reduce false positives of ML-based anomaly detectors and classifiers (2021-02-23),
8. 10778566 - Pattern discovery from high dimensional telemetry data using machine learning in a network assurance service (2020-09-15),
9. 10757121 - Distributed anomaly detection management (2020-08-25),
10. 10691082 - Dynamically adjusting sample rates based on performance of a machine-learning based model for performing a network assurance function in a network assurance system (2020-06-23),
11. 10673728 - Dynamic selection of models for hybrid network assurance architectures (2020-06-02),
12. 10623273 - Data source modeling to detect disruptive changes in data dynamics (2020-04-14),
13. 10581901 - Increased granularity and anomaly correlation using multi-layer distributed analytics in the network (2020-03-03),
14. 10536344 - Privacy-aware model generation for hybrid machine learning systems (2020-01-14),
15. 10498752 - Adaptive capture of packet traces based on user feedback learning (2019-12-03),

Title: The Innovative Mind of Andrea Di Pietro: Revolutionizing Machine Learning in Network Telemetry

Introduction:

In the bustling tech hub of Lausanne, Switzerland, resides the brilliant inventor Andrea Di Pietro. With a staggering 50 patents to her name, Andrea Di Pietro is a trailblazer in the realm of machine learning applications in network telemetry. Let's delve into the world of this visionary inventor and explore her latest groundbreaking patents and career achievements.

Latest Patents:

1. Using raw network telemetry traces to generate predictive insights using machine learning: In this patent, Andrea Di Pietro introduces a methodology where telemetry data from diverse networks is amalgamated to create a synthetic input trace. This trace is then fed into machine learning models to produce predicted key performance indicators, aiding in the identification of abnormal behaviors within networks.

2. Assessing data fidelity in a machine learning-based network assurance system: This patent showcases Andrea Di Pietro's innovation in computing a data fidelity metric for network telemetry data utilized in machine learning models to monitor computer networks. By correlating data fidelity with model performance, adjustments are made to enhance the quality of network telemetry data input.

Career Highlights:

Andrea Di Pietro is a driving force behind Cisco Technology, Inc., where her inventive spirit flourishes. Through her inventive prowess, she has redefined the landscape of network telemetry and machine learning applications within the tech industry.

Collaborations:

Collaborating with esteemed colleagues like Jean-Philippe Vasseur and Javier Cruz Mota, Andrea Di Pietro's work embodies synergy and innovation. Together, they have spearheaded projects that have pushed the boundaries of technology and paved the way for future advancements in the field.

Conclusion:

Andrea Di Pietro's relentless pursuit of innovation and unwavering dedication to pushing the boundaries of machine learning in network telemetry have solidified her status as a visionary inventor. Her patents not only reflect her technical acumen but also her profound impact on the tech industry. Andrea Di Pietro's name will undoubtedly be etched in the annals of technological progress for years to come.

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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