This inventor holds 4 USPTO granted patents, plus 1 CIPO patent. Top assignee: At&t Bell Laboratories. Active years: 1992-1994.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 1992-1994
Title: Innovations of Yuval V Lirov
Introduction
Yuval V Lirov is a notable inventor based in Aberdeen, NJ (US). He has made significant contributions to the field of resource allocation, holding a total of 4 patents. His work primarily focuses on developing automated methods for efficiently managing constrained resources.
Latest Patents
Lirov's latest patents include an "Automated resource allocation method employing a learning arrangement." This invention provides a facility for allocating a constrained common resource among multiple demands. It achieves a recommended solution by utilizing partial solutions previously generated and stored in a database from prior allocations. Another significant patent is the "Automated resource allocation cutting stock arrangement using random cut." This arrangement involves generating a set of patterns as candidates for a recommended solution, setting goals or constraints for these patterns, and determining which patterns meet the established goals. The process includes generating feasible patterns based on a random distribution of demand and refining these patterns until the goals are met.
Career Highlights
Yuval V Lirov is currently associated with AT&T Bell Laboratories, where he continues to innovate in the field of resource allocation. His work has been instrumental in advancing automated solutions that address complex resource management challenges.
Collaborations
Lirov has collaborated with notable colleagues, including On C Yue and Swaminathan Ravikumar, contributing to a rich environment of innovation and research.
Conclusion
Yuval V Lirov's contributions to automated resource allocation demonstrate his commitment to innovation and efficiency. His patents reflect a deep understanding of complex systems and a drive to improve resource management practices.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
