Bristol, United Kingdom

Miranda Jane Felicity Mowbray

USPTO Granted Patents = 4 

Average Co-Inventor Count = 3.2

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2014-2022

where 'Filed Patents' based on already Granted Patents

4 patents (USPTO):

Title: The Innovative Contributions of Miranda Jane Felicity Mowbray

Introduction

Miranda Jane Felicity Mowbray is a distinguished inventor based in Bristol, GB. She has made significant contributions to the field of technology, particularly in domain classification and cybersecurity. With a total of four patents to her name, Mowbray's work reflects her expertise and innovative spirit.

Latest Patents

Mowbray's latest patents include a method for domain classification that involves sorting a set of sample domains into leaves based on their syntactical features. This method identifies regular expressions for each family of domains and creates classifiers for machine learning applications. Another notable patent focuses on identifying malicious DNS packets by determining the number of hosts within an enterprise resolving a particular domain. This innovative approach helps in distinguishing between benign and malicious domains.

Career Highlights

Throughout her career, Mowbray has worked with prominent companies such as Hewlett Packard Enterprise Development LP and Hewlett-Packard Development Company, L.P. Her experience in these organizations has allowed her to develop and refine her skills in technology and innovation.

Collaborations

Mowbray has collaborated with notable professionals in her field, including William G. Horne and Prasad V. Rao. These collaborations have contributed to her success and the advancement of her projects.

Conclusion

Miranda Jane Felicity Mowbray is a remarkable inventor whose work in domain classification and cybersecurity has made a significant impact in the technology sector. Her patents and collaborations highlight her dedication to innovation and excellence.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…