San Francisco, CA, United States of America

Ruggero Altair Tacchi

This inventor holds 19 USPTO granted patents and 2 published patent applications, primarily in Graph Data Analysis. Top assignees: Quid Inc., Mapbox, Inc.. Active years: 2016-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ruggero Altair Tacchi. Retrieved from https://idiyas.com/inventor/ruggero-altair-tacchi

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 = 2.6

ph-index = 12

Forward Citations = 821(Granted Patents)


Company Filing History:


Years Active: 2016-2023

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Areas of Expertise:
Graph Data Structure
Semantic Similarity
Natural Language Processing
Network Graphs
Document Relationships
Neural Network Classifier
Travel Mode Detection
Telemetry Data
Boolean-Query Composer
Topic Predictions
Data Visualization
Insightful Nodes
19 patents (USPTO):Explore Patents

Title: Ruggero Altair Tacchi: Innovating Mobility Solutions

Introduction

Ruggero Altair Tacchi is a prominent inventor based in San Francisco, CA. With a remarkable portfolio of 19 patents, Tacchi has significantly contributed to advancements in mobility and route planning technologies. His innovative approaches integrate machine learning and telemetry data to enhance performance and accuracy in transportation systems.

Latest Patents

Among his latest inventions, Tacchi has developed a method for correcting speed estimations using aggregated telemetry data. This patent introduces a novel technique that trains a machine-learned speed correction model on road data collected from various mobile computing devices. By aggregating location and movement data on a server, the model corrects estimated speeds for specific road segments in various geographic regions. This method focuses on ensuring that speed estimates are as accurate as possible by incorporating additional factors such as the time of day.

Another notable patent from Tacchi involves a neural network classifier that detects the travel mode associated with computing devices. This innovation uses digital data traces, comprising location and time data, to identify the movement type of the device. The derived metrics input to the classification model allow the system to label the movement accurately, enhancing the understanding of travel behaviors and patterns.

Career Highlights

Ruggero Tacchi has held significant roles in esteemed companies that align with his expertise in technology and mobility. He has worked for Quid Inc. and Mapbox, Inc., where he has been instrumental in developing cutting-edge solutions that bridge the gap between technology and transportation.

Collaborations

Throughout his career, Tacchi has collaborated with talented professionals, including Fabio Ciulla and Oriana Jeannette Love. These partnerships have fostered an innovative environment, allowing for the sharing of ideas and development of groundbreaking technologies.

Conclusion

Ruggero Altair Tacchi stands out as a visionary inventor whose contributions to the fields of mobility and technology have paved the way for future innovations. His latest patents reflect a deep understanding of data analytics and machine learning and provide significant advancements in how we plan and understand travel. With his continued commitment to innovation, Tacchi is poised to remain at the forefront of transforming transportation solutions.

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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