Company Filing History:
Years Active: 2009-2023
Title: Kevin L. Scott: Innovator in Anomaly Detection and Resource Allocation
Introduction
Kevin L. Scott is a prominent inventor based in Raleigh, NC (US). He has made significant contributions to the fields of anomaly detection and resource allocation through his innovative patents. With a total of 5 patents, Scott has established himself as a key figure in technological advancements.
Latest Patents
One of Scott's latest patents is focused on anomaly detection and diagnostics based on multivariate analysis. This invention utilizes improved Mahalanobis-Taguchi system (MTS) techniques to identify and diagnose anomalies in target objects. The system can analyze a set of measurements associated with various attributes and determine a Mahalanobis distance (MD) to detect abnormal conditions when the MD exceeds a predetermined threshold. Additionally, the system assigns importance scores to each measurement, allowing for the identification of the attribute most responsible for the abnormal condition.
Another notable patent is a computer-implemented system for modeling allocated resources. This invention addresses the challenges of accounting for extensions or reductions in the allocation period of resources such as computer processor time and scientific apparatus. By modeling the aggregated effects of allocation changes, the system enhances the accuracy and efficiency of allocation forecasts based on historical data.
Career Highlights
Kevin L. Scott is currently employed at SAS Institute Inc., where he continues to develop innovative solutions in data analysis and resource management. His work has had a profound impact on the efficiency of various technological processes.
Collaborations
Scott has collaborated with notable colleagues, including Metin Balikcioglu and Bingfeng Ding, contributing to a dynamic and innovative work environment.
Conclusion
Kevin L. Scott's contributions to anomaly detection and resource allocation exemplify his commitment to innovation. His patents not only advance technology but also improve the efficiency of resource management in various applications.