Charanraj Thimmisetty

Title: Innovations of Charanraj Thimmisetty

Introduction

Charanraj Thimmisetty is an accomplished inventor based in Dublin, California. He holds three patents that showcase his expertise in machine learning and computational modeling. His innovative work has significant implications for network traffic analysis and the estimation of stochastic behaviors.

Latest Patents

One of Thimmisetty's latest patents is titled "Combined machine learning and formal techniques for network traffic analysis." This system generates vector representations of entries from traffic logs produced by a firewall. A first model learns the contexts of values recorded in the logs during training, allowing the system to extract vector representations of these values. For each log entry, vectors created for the corresponding values are combined to create a comprehensive vector representing the entry. Cluster analysis can then be performed on these vector representations to identify clusters of similar traffic and outliers that may indicate anomalous behavior. Additionally, the system generates a formal model representing firewall behavior, which includes formulas derived from the firewall rules. This innovative combination of machine learning and formal techniques enables the evaluation of both observed and hypothetical network traffic based on the established firewall rules.

Another notable patent is the "Computational framework for modeling of physical process." This patent describes techniques, systems, and devices that provide a computational framework for estimating high-dimensional stochastic behaviors. The method involves receiving a set of measurements of a stochastic behavior that follows a non-standard probability distribution and is non-linearly correlated. A numerical model of the stochastic behavior is determined based on these measurements, which includes a feature space of non-correlated features. This innovative approach allows for the generation of approximated system variables corresponding to the measurements.

Career Highlights

Thimmisetty has worked with prominent organizations such as Lawrence Livermore National Security, LLC and Palo Alto Networks, Inc. His experience in these companies has contributed to his development as a leading inventor in his field.

Collaborations

Some of his notable coworkers include Xiao Chen and Can Huang. Their collaboration has likely fostered an environment of innovation and creativity in their respective projects.

Conclusion

Charanraj Thimmisetty's contributions to the fields of machine learning and computational modeling are significant. His patents reflect a deep understanding of complex systems and their applications in real-world scenarios. His work continues to influence advancements in technology and network security.