This inventor holds 1 USPTO granted patent. Top assignee: Optum Services (Ireland) Limited. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Ian Crawford - Innovator in Anomaly Detection
Introduction
Ian Crawford is a notable inventor based in Donegal, Ireland. He has made significant contributions to the field of machine learning, particularly in the area of anomaly detection. His innovative work has led to the development of advanced frameworks that enhance the efficiency and accuracy of detecting anomalies in various data sets.
Latest Patents
Ian Crawford holds a patent for "Unsupervised anomaly detection machine learning frameworks." This invention provides methods, apparatus, systems, and computing devices for performing anomaly detection operations. The patent describes a three-tiered unsupervised anomaly detection machine learning framework that utilizes a randomized partitioning anomaly detection model, a rule-based partitioning anomaly detection model, and a clustering machine learning model. This innovative approach allows for high-volume anomaly detection and improves the overall effectiveness of identifying anomalies in data.
Career Highlights
Ian is currently employed at Optum Services (Ireland) Limited, where he applies his expertise in machine learning and anomaly detection. His work at Optum Services has allowed him to further develop his skills and contribute to cutting-edge projects in the healthcare technology sector.
Collaborations
Ian collaborates with various professionals in his field, including his coworker David T Cleere. Their combined efforts contribute to the advancement of machine learning applications and enhance the capabilities of their projects.
Conclusion
Ian Crawford is a distinguished inventor whose work in anomaly detection has the potential to revolutionize data analysis across multiple industries. His innovative frameworks and dedication to advancing technology make him a valuable asset in the field of machine learning.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile