This inventor holds 2 USPTO granted patents. Top assignee: International Business Machines Corporation. Active years: 2014-2015.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2014-2015
Title: Maira A De C Gatti: Innovator in Network Robustness Evaluation
Introduction
Maira A De C Gatti is a prominent inventor based in Rio de Janeiro, Brazil. She has made significant contributions to the field of network robustness evaluation, holding 2 patents that showcase her innovative approach to identifying potential disconnections in network systems.
Latest Patents
Maira's latest patents focus on the efficient evaluation of network robustness using graph theory. Her work involves annotating a graph that represents a network with weights assigned to its edges. These weights can be either linearly or non-linearly proportional to the inverse of the severity of the impact or the likelihood of disconnection. By identifying minimal cut sets necessary for generating disconnections, Maira's patents allow for the simulation of almost isolated scenarios within the network. This innovative approach reduces the scope of simulations by selecting minimal cut sets based on the assigned weights.
Career Highlights
Maira A De C Gatti is currently employed at International Business Machines Corporation (IBM), where she continues to develop her expertise in network systems. Her work has garnered attention for its practical applications in enhancing network reliability and performance.
Collaborations
Maira collaborates with notable colleagues, including Marcos Dias De Assuncao and Bruno Flach, who contribute to her research and development efforts in the field of network robustness.
Conclusion
Maira A De C Gatti is a trailblazer in the evaluation of network robustness, with her innovative patents paving the way for advancements in network reliability. Her contributions to the field are invaluable and continue to influence the way networks are analyzed and improved.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
