This inventor holds 1 USPTO granted patent. Top assignee: Sap Se. Active years: 2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023
Title: Innovations by Rajesh V in User Interface Design
Introduction
Rajesh V is an accomplished inventor based in Bengaluru, India. He has made significant contributions to the field of user interface design through his innovative patent. His work focuses on enhancing user experiences by leveraging machine learning techniques.
Latest Patents
Rajesh V holds a patent for "Machine learning analysis of user interface design." This patent describes techniques and solutions aimed at improving user interfaces by analyzing user interactions with a machine learning component. The machine learning component is trained using user interaction data, which includes an interaction identifier and a timestamp. These identifiers and timestamps help determine the duration of interactions with user interface elements and identify patterns of interactions. The training data establishes baseline or threshold values for specific user interface elements. Test data, which also includes identifiers and timestamps, is analyzed to assess the time taken to complete interactions. If the machine learning component detects abnormal interaction times or patterns, it can trigger various actions, such as generating reports or providing user interface guidance.
Career Highlights
Rajesh V is currently employed at SAP SE, where he continues to develop innovative solutions in user interface design. His expertise in machine learning and user interaction analysis has positioned him as a valuable asset in his field.
Collaborations
Rajesh collaborates with talented coworkers, including Sumaiya P K and Jumi Bhattacharyya, who contribute to his projects and enhance the overall innovation process.
Conclusion
Rajesh V's contributions to user interface design through his patent demonstrate the potential of machine learning in improving user experiences. His work not only advances technology but also sets a benchmark for future innovations in the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
