This inventor holds 1 USPTO granted patent. Top assignee: International Business Machines Corporation. Active years: 2005.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2005
Title: Michael J Maloney: Innovator in Statistical Guardband Methodology
Introduction
Michael J Maloney is a notable inventor based in Waterbury Center, VT (US). He has made significant contributions to the field of statistical methodologies, particularly in the context of guardband creation. His innovative approach integrates various statistical models to enhance the reliability and efficiency of testing environments.
Latest Patents
Michael J Maloney holds a patent for a method titled "Statistical Guardband Methodology." This patent outlines a process for creating a guardband that incorporates statistical models for test environments, system environments, tester-to-system offsets, and reliability. The methodology further processes a final guardband by factoring in manufacturing process variations and quality against yield loss. This invention reflects his commitment to improving testing accuracy and reliability in technological systems.
Career Highlights
Maloney is associated with the International Business Machines Corporation (IBM), where he has applied his expertise in statistical methodologies. His work at IBM has allowed him to contribute to various projects that leverage his innovative ideas and technical skills. His career is marked by a dedication to advancing technology through rigorous statistical analysis.
Collaborations
Throughout his career, Michael has collaborated with esteemed colleagues, including Curt Guenther and Joseph M Forbes. These collaborations have fostered an environment of innovation and have led to the development of impactful methodologies in their respective fields.
Conclusion
Michael J Maloney's contributions to statistical guardband methodology exemplify his innovative spirit and dedication to enhancing technological processes. His work continues to influence the industry, showcasing the importance of statistical models in improving system reliability and efficiency.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
