This inventor holds 3 USPTO granted patents and 4 published patent applications and 1 EPO patent. Top assignee: Bank of America Corporation. Active years: 2023-2026.
Company Filing History:
Years Active: 2023-2026
Title: Innovations of Joel Filliben
Introduction
Joel Filliben is an accomplished inventor based in Newark, DE (US). He has made significant contributions to the field of machine learning and network security, holding a total of 3 patents. His work focuses on developing advanced systems that enhance automation and security in various applications.
Latest Patents
One of Joel Filliben's latest patents is an "Unsupervised machine learning system to automate functions on a graph structure." This invention discloses machine learning models, semantic networks, adaptive systems, artificial neural networks, convolutional neural networks, and other forms of knowledge processing systems. The ensemble machine learning system is coupled to a graph module that stores a graph structure, where a collection of entities and the relationships between those entities form nodes and connection arcs. Additionally, a hotfile module and hotfile propagation engine coordinate with the graph module to implement various hot file functionalities generated by the machine learning systems.
Another notable patent is the "Cross-channel network security system with tiered adaptive mitigation operations." This invention is directed towards a system, method, or computer program product for cross-channel network security with tiered adaptive mitigation operations. It is structured for dynamic detection of security events associated with network devices and resources, triggering real-time mitigation operations across multiple resource channels. The invention provides a novel method for employing activity data to construct and implement mitigation actions for de-escalating authorization tiers, preventing security exposure associated with the activity.
Career Highlights
Joel Filliben is currently employed at Bank of America Corporation, where he applies his expertise in machine learning and network security. His innovative work has positioned him as a key contributor in his field, driving advancements that benefit both his organization and the broader technology landscape.
Collaborations
Throughout his career, Joel has collaborated with notable colleagues, including Craig Douglas Widmann and Scott Anderson Sims. These partnerships have fostered a collaborative environment that enhances the development of innovative solutions.
Conclusion
Joel Filliben's contributions to machine learning and network security exemplify the impact of innovation in technology. His patents reflect a commitment to advancing automation and security, making him a significant figure in his field.