This inventor holds 1 USPTO granted patent. Top assignee: Bank of America Corporation. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Arthur Rounbehler and Intelligent Data Sanitization
Introduction
Arthur Rounbehler is an inventor associated with Griswold, Connecticut, and Bank of America Corporation. His patent work addresses secure, efficient data sanitization through the integration of artificial intelligence and machine learning (AI/ML) with phase-change memory (PCM).
Latest Patents
Rounbehler is credited with 1 patent: “Intelligent Fabrication of Secured Data Through Smart Phase Change Memory (PCM) Computing.” The invention describes systems and methods that use AI/ML to identify specific facts requiring sanitization in incoming records, rather than processing entire data properties. This focused approach is designed to reduce computational demands.
The system uses PCM’s Logical 0 and Logical 1 states to adapt to changing data volumes. Logical 0 supports smaller volumes with high resistance and low conductivity, while Logical 1 supports larger volumes with low resistance and high conductivity. An AI/ML module organizes and directs data to improve processing efficiency. PCM processes data in memory and overwrites it directly, avoiding a separate erasure step. Together, these technologies are intended to sanitize data quickly and securely, support data integrity, and adapt to changing data patterns without relying on a central repository.
Career Highlights
Rounbehler’s listed professional affiliation is Bank of America Corporation. His patent reflects an approach to data protection that combines adaptive memory technology with AI/ML-based identification and processing.
Collaborations
Vignesh M. is identified as Rounbehler’s coworker. The available information does not specify a particular role for Vignesh M. in the patent.
Conclusion
Arthur Rounbehler’s patent presents a method for making data sanitization more targeted and resource-efficient by combining AI/ML with PCM-based in-memory processing.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile