Vila Nova de Gaia, Portugal

Eduardo Mota


Average Co-Inventor Count = 3.0

ph-index = 2

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2019-2021

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2 patents (USPTO):Explore Patents

Title: Innovations by Eduardo Mota in Network Anomaly Detection

Introduction

Eduardo Mota is an accomplished inventor based in Vila Nova de Gaia, Portugal. He has made significant contributions to the field of network anomaly detection, particularly in systems involving autonomous vehicles. With a total of 2 patents, Mota's work is at the forefront of technological advancements in this area.

Latest Patents

Mota's latest patents include a "System for detecting and reporting anomalies in a network of moving things," which encompasses various operational anomalies in networks of autonomous vehicles. This innovative system provides configurable and adaptable methods for detecting, classifying, and reporting anomalies, ensuring enhanced safety and efficiency in transportation networks. Another notable patent is "Systems and methods for detecting and classifying anomalies in a network of moving things," which further emphasizes the importance of real-time monitoring and classification of operational issues.

Career Highlights

Eduardo Mota is currently associated with Veniam, Inc., a company known for its pioneering work in connected vehicle technology. His role at Veniam allows him to apply his expertise in developing advanced systems that improve the functionality and reliability of networks involving moving objects.

Collaborations

Mota collaborates with talented individuals such as Rui Costa and Diogo Carreira, contributing to a dynamic team focused on innovation and problem-solving in the realm of network technologies.

Conclusion

Eduardo Mota's contributions to the field of network anomaly detection are noteworthy, with his patents paving the way for safer and more efficient systems in autonomous vehicle networks. His work exemplifies the impact of innovative thinking in addressing modern technological challenges.

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