Southampton, United Kingdom

Peter A Lambros


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2016-2021

where 'Filed Patents' based on already Granted Patents

3 patents (USPTO):

Title: Innovations of Peter A Lambros

Introduction

Peter A Lambros is a notable inventor based in Southampton, GB. He has made significant contributions to the field of technology, particularly in the area of XML schema and pattern modeling. With a total of 3 patents, his work has had a considerable impact on how patterns and variability are captured in software development.

Latest Patents

Peter's latest patents include an innovative approach to capturing solution patterns through an extensible meta model. One of his patents describes an XML schema that defines elements representing different points of variability (POV) types for patterns. This schema allows for the substitution of POV types, enabling pattern authors to add new or custom POV data types. This flexibility allows for the generation of instances of patterns that apply programmatic operations of the newly created POV data types to respective system objects. Another patent outlines a method for capturing patterns and associated points of variability, which also includes the ability to extend the pattern meta model with new POV types.

Career Highlights

Peter A Lambros is currently employed at International Business Machines Corporation (IBM), where he continues to innovate and develop new technologies. His work at IBM has allowed him to collaborate with other talented professionals in the field, further enhancing his contributions to technology.

Collaborations

Some of Peter's notable coworkers include Vadim Berestetsky and Allen V Chan. Their collaborative efforts have contributed to the advancement of various projects within IBM.

Conclusion

Peter A Lambros is a distinguished inventor whose work in XML schema and pattern modeling has paved the way for new innovations in technology. His patents reflect a deep understanding of variability and pattern recognition, making him a valuable asset in the field.

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