This inventor holds 2 USPTO granted patents. Top assignee: Battelle Memorial Institute. Active years: 2020.
Company Filing History:
Years Active: 2020
Title: Innovations by Satish Chikkagoudar
Introduction
Satish Chikkagoudar is an accomplished inventor based in Richland, WA (US). He has made significant contributions to the field of network analysis through his innovative patents. With a total of 2 patents, his work focuses on utilizing deep learning to enhance network asset management.
Latest Patents
Chikkagoudar's latest patents include groundbreaking technologies aimed at improving network analysis. One of his notable inventions is a tool for extracting dependencies between network assets using deep learning. This network analysis tool processes network flow information to identify dependencies among network assets. By leveraging deep learning, it can discover functional relationships and update assessments of these dependencies in near real-time.
Another significant patent involves complementary workflows for identifying one-hop network behavior and multi-hop network dependencies. This tool evaluates network flow information to identify significant communication patterns among network assets. By utilizing techniques such as association rule learning and deep learning, it can inform decisions related to system configuration and damage mitigation.
Career Highlights
Satish Chikkagoudar is currently employed at Battelle Memorial Institute, where he continues to innovate in the field of network analysis. His work has been instrumental in developing tools that enhance the understanding of network behaviors and dependencies.
Collaborations
Chikkagoudar collaborates with talented professionals such as Thomas E. Carroll and Kristine M. Arthur-Durett. Their combined expertise contributes to the advancement of network analysis technologies.
Conclusion
Satish Chikkagoudar's contributions to network analysis through his innovative patents demonstrate his commitment to enhancing technology in this field. His work at Battelle Memorial Institute continues to pave the way for advancements in understanding network behaviors and dependencies.