Watertown, MA, United States of America

Seyedmohammad Mavadati

This inventor holds 20 USPTO granted patents and 5 published patent applications, primarily in Vehicle Manipulation. Top assignee: Affectiva, Inc.. Active years: 2018-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Seyedmohammad Mavadati. Retrieved from https://idiyas.com/inventor/seyedmohammad-mavadati

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

Calculating rank
USPTO Granted Patents = 20 

% Patents Active = 95.0

Average Co-Inventor Count = 4.3

ph-index = 5

Forward Citations = 98(Granted Patents)


Company Filing History:


Years Active: 2018-2026

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Areas of Expertise:
Deep Learning
Vehicle Manipulation
Multimodal Machine Learning
Cognitive State Evaluation
Emotion Metrics
Drowsiness Analysis
Image Processing
Data Collection
Occupant Analysis
Blink Rate
Crowdsourcing
Emoji Manipulation
20 patents (USPTO):Explore Patents

Title: Seyedmohammad Mavadati: Pioneering Inventor from Watertown

Introduction: Seyedmohammad Mavadati is a renowned inventor based in Watertown, MA, known for his groundbreaking contributions to various fields of innovation.

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

Career Highlights: With a career spanning over two decades, Mavadati has worked with leading research institutions and companies, consistently pushing the boundaries of technological advancement.

Collaborations: Throughout his career, Seyedmohammad Mavadati has collaborated with top universities, tech companies, and fellow inventors, fostering a culture of innovation and knowledge sharing.

Conclusion: Seyedmohammad Mavadati's passion for innovation and his relentless pursuit of excellence continue to inspire the next generation of inventors and researchers 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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