Fredericton, Canada

Matthew Paul Ouellette


Average Co-Inventor Count = 3.8

ph-index = 2

Forward Citations = 17(Granted Patents)


Company Filing History:


Years Active: 2020-2022

where 'Filed Patents' based on already Granted Patents

3 patents (USPTO):

Title: The Innovations of Matthew Paul Ouellette

Introduction

Matthew Paul Ouellette is a notable inventor based in Fredericton, Canada. He has made significant contributions to the field of machine learning and cybersecurity through his innovative patents. With a total of 3 patents, Ouellette's work focuses on enhancing user behavior analysis and improving security incident detection.

Latest Patents

Ouellette's latest patents include "Adaptive object modeling and differential data ingestion for machine learning." This invention presents a machine learning-based technique for user behavior analysis that detects deviations from expected behavior. The model is trained using data from a first set of users and is refined by identifying a 'watch list' of users. This allows for a differential data ingestion operation that updates the training data efficiently.

Another significant patent is "Ontology based persistent attack campaign detection." This mechanism involves a data processing system that implements an ontology-based detection engine. In response to security incidents, the system extracts artifacts, maps them to a graph topology, and builds a security ontology. This process enhances the detection and understanding of persistent attack campaigns.

Career Highlights

Matthew Paul Ouellette is currently employed at International Business Machines Corporation (IBM). His role involves leveraging his expertise in machine learning and cybersecurity to develop innovative solutions that address complex challenges in these fields.

Collaborations

Ouellette has collaborated with notable colleagues, including Christopher John Hockings and Suhas Venkatesh Kashyap. These collaborations have contributed to the advancement of his research and the successful development of his patents.

Conclusion

Matthew Paul Ouellette's contributions to machine learning and cybersecurity through his patents demonstrate his innovative spirit and commitment to advancing technology. His work continues to influence the industry and pave the way for future developments.

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