Location History:
- Bray Wicklow, IE (2017 - 2021)
- Dublin, IE (2019 - 2021)
- Bray, IE (2019 - 2023)
Company Filing History:
7 out of 1,544 
4 out of 164,197 
Years Active: 2017-2023
Title: Innovations of Urvesh Bhowan
Introduction
Urvesh Bhowan is a notable inventor based in Bray, Ireland, recognized for his contributions to machine learning and document classification technologies. With a total of 11 patents to his name, Bhowan has made significant strides in enhancing decision-making processes through innovative systems and methods.
Latest Patents
One of his latest patents is titled "Merging feature subsets using graphical representation." This invention provides improved performance in machine learning and decision-making processes. The method involves receiving multiple individual subsets of features from a dataset and representing each subset as a graph based on a predefined template. By overlaying these graphs, a merged feature graph is created, which can be utilized for identifying a single subset of features for various applications.
Another significant patent is "Automatic hierarchical classification and metadata identification of document using machine learning and fuzzy matching." This hierarchical document classification system includes a text-based classifier model that categorizes input electronic documents into predefined categories. Additionally, it features an image-based metadata identification model that classifies documents into metadata categories, supplemented by a fuzzy text matcher to enhance classification accuracy.
Career Highlights
Urvesh Bhowan has worked with prominent companies such as Accenture Global Solutions Limited and International Business Machines Corporation (IBM). His experience in these organizations has contributed to his expertise in developing advanced technological solutions.
Collaborations
Some of his notable coworkers include Medb Corcoran and Laura O'Malley, who have collaborated with him on various projects.
Conclusion
Urvesh Bhowan's innovative work in machine learning and document classification showcases his commitment to advancing technology. His patents reflect a deep understanding of complex systems and a drive to improve decision-making processes across various applications.