Tarrytown, NY, United States of America

Kevin Albanese


Average Co-Inventor Count = 12.2

ph-index = 2

Forward Citations = 7(Granted Patents)


Company Filing History:


Years Active: 2020-2021

where 'Filed Patents' based on already Granted Patents

6 patents (USPTO):

Title: Kevin Albanese: Innovator in Parking Enforcement Technology

Introduction

Kevin Albanese is a notable inventor based in Tarrytown, NY (US). He has made significant contributions to the field of parking enforcement technology, holding a total of six patents. His innovative work focuses on utilizing digital computer systems to enhance the efficiency and effectiveness of parking enforcement officers.

Latest Patents

Among his latest patents is a "System and method for motivating parking enforcement officer performance with the aid of a digital computer." This invention creates a time-based active representational model of the city by integrating sensory data from various sources with historical and ongoing activities. The model aids in predicting expected violations and revenue streams, providing recommendations for optimal enforcement strategies. Another significant patent is the "System and method for managing coverage of parking enforcement for a neighborhood with the aid of a digital computer." Similar to his previous work, this system also utilizes a representational model to enhance the management of parking enforcement resources.

Career Highlights

Kevin Albanese is currently employed at Conduent Business Services, LLC, where he continues to develop innovative solutions for parking enforcement. His work has been instrumental in improving the performance and resource allocation of parking enforcement officers.

Collaborations

Kevin has collaborated with notable coworkers such as Mark Jeffrey Stefik and Mudita Singhal, contributing to the advancement of technology in parking enforcement.

Conclusion

Kevin Albanese's contributions to parking enforcement technology demonstrate his commitment to innovation and efficiency. His patents reflect a deep understanding of how technology can optimize urban management and resource utilization.

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